ELECTROMAGNETICS AND RESISTIVITY INVESTIGATIONS
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Transcript of ELECTROMAGNETICS AND RESISTIVITY INVESTIGATIONS
i
OKAFOR PUDENTIANA NGOZI
PG/MSc/02/33734
INTEGRATION OF GEOPHYSICAL TECHNIQUES FOR
GROUNDWATER POTENTIAL INVESTIGATION IN
KATSINA-ALA, BENUE STATE, NIGERIA
APPLICATION OF INFORMATION MANAGEMENT
GEOLOGY
A THESIS SUBMITTED TO THE DEPARTMENT OF GEOLOGY, FACULTY OF
PHYSICAL SCIENCES, UNIVERSITY OF NIGERIA NSUKKA
Webmaster
Digitally Signed by Webmaster’s Name
DN : CN = Webmaster’s name O= University of Nigeria, Nsukka
OU = Innovation Centre
OCTOBER, 2011
ii
TITLE PAGE
INTEGRATION OF GEOPHYSICAL TECHNIQUES FOR
GROUNDWATER POTENTIAL INVESTIGATION IN
KATSINA-ALA, BENUE STATE, NIGERIA
BY
OKAFOR PUDENTIANA NGOZI
PG/MSc/02/33734
A THESIS SUBMITTED TO THE DEPARTMENT OF GEOLOGY,
FACULTY OF PHYSICAL SCIENCES IN PARTIAL FULFILLMENT
OF THE REQUIREMENTS FOR THE AWARD OF THE MASTERS
OF SCIENCE DEGREE IN APPLIED GEOPHYSICS, UNIVERSITY
OF NIGERIA, NSUKKA, NIGERIA
iii
OCTOBER, 2011
CERTIFICATION
Okafor Pudentiana Ngozi, a post graduate student in the Department
of Geology, University of Nigeria Nsukka, has satisfactorily completed the
requirements for the course and project works for the Degree of Masters of
Science (M.Sc. Applied Geophysics) in Geological Sciences.
The works embodied in this project are original and have not been
submitted in part or full for any other Diploma or Degree of this or any other
University.
........................... ...............................
Dr. L .I . Mamah Prof. C.O. Okogbue
Supervisor Head of Department
...............................
External Examiners
iv
DEDICATION
This work is dedicated to my husband Chief Dr. Okafor Innocent
Igwebueze, and my children Ndidi, Kenny, Chinaza, Simon (Jnr), Jane,
Edith and Joshua who were denied a lot of pleasurable moments for the
completion of this work. They made positive contributions by their
encouragements, support and prayers till the completion of the project.
v
ACKNOWLEDGMENTS
I wish to express my unalloyed gratitude to my project supervisor, Dr.
L.I Mamah of Department of Geology University of Nigeria Nsukka and
Professor Mosto Onuoha. Their inclination to perfection, kindness and
tolerance can not be ignored. As a matter of fact, Dr. L I Mamah is one of
the most devoted supervisors I have ever met. I am indeed very grateful to
him.
My special thanks goes to Mr. Ben Anowo of Ministry of Water
Resources Enugu State for his inspiration, ideas and assistance. Mr. Daagu
Jeremiah of Benue State Water and Sanitation Agency, Makurdi for his
tireless efforts in sourcing the field crew, field apparatus: Geonics EM-34-3
and SAS 300C Terrameter. Dr. Olayanju G.M, and Mr Adiat K.A.N of
Federal University of Science and Technology Akure for their professional
assistance. Mr. Maduka Nnaemeka for accommodating me at Benue State
during the course of the field work. I am also indebted to the other lecturers
and staff of the Geology Department, University of Nigeria Nsukka: Dr. C.
C. Ugbor, Dr. Ekwe, Prof. Umeji, Mr. Onwuka, Mr. Anyiam, Mr Oha, Mr.
Ugochukwu who assisted me throughout the course of my stay at University
of Nigeria, Nsukka. I am immensely grateful to Prof Okeke F.I and
Souleman Lamidi who assisted in the final preparation of this work.
The materials and advice provided by my colleagues: Mr. Chidi
Ugwu, Mr. Chidi Okeugo, Mrs Ozioko V. C, Mrs. Uwa, were always
relevant and timely; I thank them immensely.
My indebtedness goes to the following; Dr and Mrs. F.A. Isife, Dr
(Sir) and Lady F.O. Ezugwu, Chief and Mrs. S.U. Okafor, Mr. and Mrs.
Eddy Chibuoke, Mr. and Mrs. Onwudi Emmanuel, Chief (Sir) and Lady
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JohnBosco Ugwu, Mr. and Mrs. Jude Maduka, Mr. and Mrs. Agbo Samuel,
Mr. and Mrs. Ezekiel Ike, Mr. and Mrs. T. Ojiego, Mr. and Mrs. Eze Ray for
their moral and financial support.
I am under a deep obligation to my beloved parents, Mr. and Mrs.
Ekwueme Michael C, my brothers Michael (Jnr), Emmanuel, Uchenna and
Ifeanyi for their encouragement and understanding.
Victor A. Nwashili is also acknowledged for arranging this work.
Finally, this piece of work will be devoid of completeness if I fail to
register my utmost gratitude and indebtedness to God almighty for the spirit
of perseverance, strength, wisdom, inspiration and above all protection
throughout this work.
vii
ABSTRACT
Integrated geophysical techniques involving VLF-Electromagnetic and
Electrical Resistivity sounding methods were carried out to investigate the
groundwater potentials of selected areas in Katsina-Ala L.G.A of Benue
State. The area is underlain by the Precambrian basement complex of
northeastern Nigeria with local geology predominantly granite.
Measurements of the ground conductivity were carried out with Geonics EM
34-3 along eight traverses whose lengths varied between 220 and 520m. The
qualitative interpretation of VLF-EM results identified areas of hydro-
geologic importance and form basis for Vertical Electrical Sounding (VES)
investigation. Fifteen Vertical Electrical Soundings (VES) were carried out
across the area using the Schlumberger electrode array configuration, with
current electrode separation (AB) varying from 200m to 340m. The
interpretation of the VES data assisted in the characterization of three to five
geo-electric layers from which the aquifer unit was delineated. The geo-
electric sections obtained from the sounding curves revealed 3-layer, 4-layer
and 5-layer earth models respectively. The 3-layer model with 20%
(percentage) of occurrence, the 4- layer (66.7%) and 5-layer (13.3%) models
show the subsurface layers categorized into the topsoil, sandy-clay/clayey-
sand, weathered/fractured layer and the fresh bedrock. The weathered and/or
the fractured basement are the aquifer types delineated across the area. The
thickness of the weathered aquifer unit varies from 5.3m to 32.8m in the
area. On the basis of geo-electric parameters the study area is zoned into
high, intermediate and low groundwater potential zones.
viii
TABLE OF CONTENTS
TITLE-----------------------------------------------------------------------------ii
CERTIFICATION--------------------------------------------------------------iii
DEDICATION------------------------------------------------------------------iv
ACKNOWLEDGEMENT---------------------------------------------------- v
ABSTRACT--------------------------------------------------------------------viii
TABLE OF CONTENTS -----------------------------------------------------ix
LIST OF FIGURES------------------------------------------------------------xi
LIST OF PLATES
LIST OF TABLES-------------------------------------------------------------xv
CHAPTER ONE INTRODUCTION
1.0 Introduction---------------------------------------------------------------
1.1 Background of the study------------------------------------------------
1.2 Location and Accessibility-------------------------------------------
1.3 Climate and Physiography----------------------------------------------
1.4 Geology of the study area--------------------------------------------
1.5 Hydrogeology----------------------------------------------------------
1.6 Ground water-----------------------------------------------------------
1.6.1 Porosity and Permeability---------------------------------------------
1.7 Aquifer and Aquiclude-------------------------------------------------
1.8 Aims of the present research work------------------------------------
CHAPTER TWO LITERATURE REVIEW
2.1 Previous works-----------------------------
2.2 Review of Geo-electric Techniques----------------------------------
ix
2.2.1 Electromagnetic Survey-----------------------------s
2.2.2 Electrical Resistivity survey--------------------------
2.2.2.1 Theory of Electrical resistivity in rocks-----------------
2.2.2.2 Potential distribution in a homogenous medium----------
2.2.2.3 Solution of Laplace equation and boundary conditions----------
CHAPTER THREE DATA ACQUISITION
3.1 Methodology--------------------------------------------------------
3.1.1 Electromagnetic Equipment (EM34-3) -----------------------
3.1.2 Electrical Resistivity Instrument--------------------------------
3.2 Field Procedures------------------------------------------------------
3.3 Data Presentation-----------------------------------------------------
3.4 Practical Limitations and precautions---------------------------------
CHAPTER FOUR FIELD DATA PROCESSING &
INTERPRETATION
4.1 Field data processing------------------------------------------------------
4.1.1 Electromagnetic data processing-----------------------------------------
4.1.2 Electrical Resistivity data processing-----------------------------------
4.2 Interpretation of results---------------------------------------------------
4.2.1 Analysis of Electromagnetic profiles-----------------------------------
4.2.2 Analysis of Electrical Resistivity results-------------------------------
4.2.2.1 Resistivity sounding curves
4.2.2.2 Geo-electric characterization and lithologic delineation
4.2.2.3 Hydrogeological zoning
4.2.2.3.1 Iso- pach,iso-resistivity and longitudinal conductance maps
CHAPTER FIVE CONCLUSIONS AND RECOMMENDATIONS
5.1 Conclusions----------------------------------------------------------------
5.2 Recommendations---------------------------------------------------------
xi
LIST OF FIGURES
FIGURE TITLE PAGE
1.1 Geologic map of Katsina-Ala
1.2 Location map of the study area showing the VES point and
EM points
2.1 Induced current flow (principles of EM)
2.2 General four electrode configuration for resistivity
measurement
3a Conductivity profile along EM traverse 1
3b Vertical and horizontal dipole field gradient along EM
traverse 1
3c Inverted pseudo-section along EM traverse 1
4a Conductivity profile along EM traverse 2
4b Vertical and horizontal dipole field gradient along EM
traverse 2
4c Inverted pseudo-section along EM traverse 2
5a Conductivity profile along EM traverse 3
5b Vertical and horizontal dipole field gradient along EM
traverse 3
5c Inverted pseudo-section along EM traverse 3
6a Conductivity profile along EM traverse 4
6b Vertical and horizontal dipole field gradient along EM
traverse 4
6c Inverted pseudo-section along EM traverse 4
7a Conductivity profile along EM traverse 5
7b Vertical and horizontal dipole field gradient along EM
xii
traverse 5
7c Inverted pseudo-section along EM traverse 5
8a Conductivity profile along EM traverse 6
8b Vertical and horizontal dipole field gradient along EM
traverse 6
8c Inverted pseudo-section along EM traverse 6
9a Conductivity profile along EM traverse 7
9b Vertical and horizontal dipole field gradient along EM
traverse 7
9c Inverted pseudo-section along EM traverse 7
10a Conductivity profile along EM traverse 8
10b Vertical and horizontal dipole field gradient along EM
traverse 8
10c Inverted pseudo-section along EM traverse 8
11.1 VES 1 curve
11.2 VES 2 curve
11.3 VES 3 curve
11.4 VES 4 curve
11.5 VES 5 curve
11.6 VES 6 curve
11.7 VES 7 curve
11.8 VES 8 curve
11.9 VES 9 curve
11.10 VES 10 curve
11.11 VES 11 curve
11.12 VES 12 curve
xiii
11.13 VES 13 curve
11.14 VES 14 curve
11.15 VES 15 curve
12.1 Geo-electric section AA1 across VES 9,10,1,2 and 3
12.2 Geo-electric section BB1 across VES 4,14 and 15
12.3 Geo-electric section CC1 across VES 5,7 and 14
12.4 Geo-electric section DD1 across VES 8,7 and 1
12.5 Geo-electric section EE1 across VES 6,15 and 13
12.6 Geo-electric section FF1 across VES 11,12 and 10
13.1a Iso-pach map of the aquifer of the study area
13.1b Iso-resistivity map of the aquifer layer of the study area
13.2a Iso-pach map of the overburden materials of the study area
13.2b Longitudinal unit conductance map of the study area
13.3 Groundwater potential map of the study area
LIST OF PLATES
1.1a EM 34-3 instrument
1.1b Some crew members collecting EM data in horizontal coil
alignment
1.1c Some crew members collecting EM data in vertical coil
alignment
1.2a Electrical resistivity instrument
xiv
1.2b & c Some crew members collecting data at one of the VES
points
LIST OF TABLES
TABLE TITLE PAGE
1 Porosity and permeability of some rocks and sediments
2.1 Field data for EM Traverse one along Depoor
2.2 Field data for EM Traverse two along Depoor
2.3 Field data for EM Traverse three along Imande
2.4 Field data for EM Traverse four along Imande
2.5 Field data for EM Traverse five along Tsekyor
2.6 Field data for EM Traverse six along Tsekyor
2.7 Field data for EM Traverse seven along Amaafu
2.8 Field data for EM Traverse eight along Amaafu
2.9 VES field data for Depoor
2.10 VES field data for Imande
2.11 VES field data for Tsekyor
2.12a VES 1 field data for Amaafu
2.12b VES 2 and VES 3field data for Amaafu
3.1 VES summary
3.2 Summary of geo-electric parameters and model theoretical
resistivity curve types over the study area
xvi
CHAPTER ONE
INTRODUCTION
1.1 Background
Groundwater is a mysterious nature’s hidden treasure. Its exploitation has
continued to remain an important issue due to its unalloyed needs. Though there are other
sources of water; streams, rivers ponds, none is as hygienic as groundwater because
groundwater has an excellent natural microbiological quality and generally adequate
chemical quality for most uses (MacDonald et al. 2002).
To unravel the mystery out of groundwater, a detailed geophysical and hydr-
geological understanding of the aquifer type(s), its spatial location are paramount in order
to characterize the hydric zones in an area. To avoid drilling wells in unfavorable
locations, a reliable method is required for assessing formation parameters before drilling
takes place. This may ensure that a prospective productive well is sited where the aquifer
is of adequate thickness and probably good quality (Zaafran, 1981).
Water occurs naturally as moisture in the upper part of the soil profile
(atmosphere) as dew, on the earth’s surface as streams, rivers, oceans, lakes, springs etc,
and beneath the earth’s surface as groundwater. Although it is believed that the greater
percentage of the earth’s surface is composed of water from either, the seas, oceans,
rivers, streams, ponds, springs or otherwise, yet none of these surface water sources is as
much less vulnerable to contamination as groundwater (MacDonald et al, 2005). The
amount of freshwater available for human use is less than 0.08% of all the water on the
planet (BBC Sci./Tech. News, 2000). For this obvious reason, groundwater is
recommended for its natural microbiological quality for most uses. Due to its scarcity,
water related diseases such as cholera, dysentery, and guinea worm infestations are found
in many parts of the world. These infestations are as a result of lack of boreholes which
led people to depend solely on ponds and other existing surface water. Although,
groundwater is less contaminated than surface waters, pollution of this major water
supply has become an increasing concern in industrialized nations (Microsoft®
Encarta®, 2009).
xvii
In view of the on going discussion, there is a need to unravel the mystery out of
groundwater. Though, it is available and close to where it is required, it can be developed
cheaply and progressively to meet the demand with an excellent natural quality and
adequate for portable supply with little or no treatment. A considerable effort may be
needed in some situations to locate suitable sites. In other to achieve this, there is a need
to understand the subsurface stratification, geology and the hydro-geology of the area,
and apply the necessary geophysical technique(s).
Geophysics involves the measurement of contrasts in the physical properties of
materials beneath the surface of the earth and the attempt to deduce the nature and the
distribution of the materials responsible for these observations at the surface. It involves
the application of the principles of physics to the study of the earth. The geophysical
methods: seismic, gravity, magnetic, electrical resistivity, induced polarization,
spontaneous polarization, electromagnetic, radar sensor etc used in the investigation of
the shallow and/or deep features of the earth’s crust vary in accordance with the physical
properties of rocks such as rock density, conductivity (resistivity), susceptibility,
dielectric constant etc.
In seismic method of exploration, seismic waves travel with different speeds
through different materials due to variations in their elastic moduli and densities which
determine the propagation velocity of the seismic waves. Variations of densities in the
subsurface can as well lead to changes in gravitational acceleration at the surface thus:
gravity method. Measurable differences in magnetic field can be obtained at field sites
due to variations in magnetic susceptibility referred to as magnetic method.
Similarly, variations in the electrical conductivities of rocks and sediments can
produce different values of apparent resistivities as the distances between measuring
probes are increased or as the position of the probe is changed on the surface hence;
electrical resistivity method. On the other hand, electromagnetic surveys use the principle
of induction to measure the electrical conductivity of the subsurface materials including
soil, groundwater, rocks, and buried objects. The use of electromagnetic survey was
mostly in the exploration for metallic mineral deposits but many scholars in these recent
years have shown that it could be used as a reconnaissance survey in groundwater
exploration Olaleye (2005), Amadi and Nurudeen (1990), Adiat et al (2009).
xviii
Reconnaissance in the sense that it is fast, and requires less labor, and above all covers a
large area in a short time. Olaleye (2005) opines that electromagnetic survey is best used
in areas of crystalline basement rocks for mapping areas of fractures and/or weathered
materials of the basement complex which are often the significant water bearing layers
directly overlying the fresh basement rocks. Electromagnetic induction can be in
frequency domain, very low frequency domain, or time domain. The frequency domain is
usually considered the most popular technique for ground water survey throughout Africa
and India (MacDonald et al. 2005) using the Geonics EM 34-3 instrument two man
portable (Mc Neill, 1980b) which has stepwise selectable depths from 7.5 meters to
60meters. This instrument employs a transmitter which senses the alternating (primary)
electromagnetic field over and through the ground and measuring the resulting secondary
electromagnetic field produced by a receiver. The time varying electromagnetic field
generated by the transmitter could induce small currents in the earth. These currents
generate a secondary electromagnetic field, which is sensed by the receiver coil. The
ground conductivity (or apparent conductivity) is then calculated by assuming a linear
relation between the ratio of secondary and primary field. Electromagnetic survey can be
used in combination with resistivity survey method to spotlight areas of higher
conductivity where vertical electrical soundings can be carried out for clarity,
conformation and faster assessment of the geometry of the sub-surface. It is on the basis
of this assumption (principles) that the hydro-geophysical investigations of Katsina-Ala
and it’s environ was relied upon.
Electrical resistivity is one of the physical properties which can be used to
distinguish among different rocks. This is because the resistivities of different rocks and
minerals vary widely. Basement (igneous and metamorphic) rocks containing no water
have very high resistivity; metallic ores have very low resistivities (Telford et al. 1990).
The apparent resistivity of the subsurface as measured on the surface is a function of the
magnitude of the current, the recorded potential difference and the electrode array
(Ezema, 2005). The presence of water substantially controls the variation of the
conductivities in the shallow subsurface. The measurements indicate water saturation and
conductivity of pore spaces because water bearing rocks and minerals usually follow the
path of least resistance (Ezema, 2005, Kearey and Brooks, 1991). Resistivity method has
xix
been found successful for locating, assessing and developing groundwater. It is cost
effective and subject to careful study of the lithology, and /or geo-hydrologic model of
the subsurface. Electrical resistivity serves as a predictive tool for estimation of borehole
depth (Omosuyi, 2010). In electrical resistivity survey, a direct current is passed into the
ground through two current electrodes, while two other potential electrodes are used to
measure the resulting potential difference produced by this current. The information
obtained is used to calculate the apparent resistivity of the rocks.
All substances act to retard the flow of electric current so that energy must be
expended to move charged particles. The extent to which a substance restrains this
movement is described by its electrical resistivity. The principal goal of electrical
resistivity surveying is to measure this property (resistivity) as a basis for distinguishing
layering and structure of the earth. The two main types of procedures employed in
resistivity surveys are vertical electrical sounding (VES), and constant separation
traversing (CST). In constant separation traversing, which is used to determine lateral
variation in resistivity, the current and potential electrodes are maintained at a fixed
separation and progressively moved along a profile. In vertical electrical sounding the
current and potential electrodes are progressively expanded about a fixed central point.
By progressively expanding the current electrodes readings of the potential difference are
taken as current reaches to a greater depth. This gives the information on the resistivities
and thicknesses of the underlying horizontal strata. The modern equipment for measuring
the potential difference and the current is the signal averaging system (SAS) Terrameter.
The resistivity of the subsurface material is a function of the magnitude of the current, the
recorded voltage and the geometry of the electrode configuration. The electrical
resistivity obtained is termed “apparent” because it is not likely that the subsurface
materials beneath the survey area are homogenous. The apparent resistivities are subject
to interpretation techniques including the curve matching and/or computer interpretation.
Based on the resistivities and the thicknesses of the underlying formations and the
available geology of the area, the depth to water bearing rocks (aquifer) can be estimated.
1.2 Location and Accessibility
The area under study is an extract from map sheet 272; Katsina-Ala NE (Federal
Surveys Nigeria, 1975) on a scale of 1:100,000. It is bounded by latitudes 7°09' and 7
°20'
xx
north of the equator and longitudes 9°15' and 9
°30' east of the Greenwich Meridian (Fig
1.1). The project areas are generally accessible by major roads and several footpaths,
although the road from Katsina-Ala town to the project area is tarred. In addition to
Zarki-Ibiam- Tsemaka road, the survey locations can equally be accessed through a major
road from Katsina-Ala through Tor-Donga. The global positioning system (GPS) receiver
was used in the field to obtain the spatial locations of the electromagnetic traverses and
vertical electrical sounding points (Fig 1.2).
xxi
1.3 Climate and Physiography
The Katsina-Ala area is generally low lying to gentle undulating terrain though
there is a hill (Depoor) at one of the study areas: Depoor .
The climate is sub-equatorial with average annual rainfall of 2000mm – 2500mm
and a mean temperature of about 27°C – 28
°C (Olayinka, 2000). Virtually all the rainfall
is recorded during the rainy season which lasts from April to October with a peak
between June and August. The peak temperature is recorded between the months of Jan-
March. Most of the rainfall comes in torrential showers resulting in high run-off. In the
flat lying areas, rain water is retained for a long time due to the clayey nature of the soil.
The harmattan season, a season of dusty high winds, unusual cold and extremely dry
conditions, lasts from November to February. It is caused by the tropical continental air
from the Sahara Desert which displaces the tropical Maritime air from the Gulf Guinea
xxii
(Olayinka, 2000). During this period and the succeeding dry season the soil and drainage
channels dry up in the study area. As a matter of fact, water scarcity and its consequences
such as out break of epidemics could set in. The vegetation is semi evergreen forest
(Olayinka, 2000).
The study area (Fig 1.2) is drained by a major river: River Katsina-Ala. There are
however streams running parallel in the area. Also ponds are not left out.
1.4 Geology of the study area
The study area is underlain by the hard rocks of the Precambrian basement complex of
the northeasthern Nigeria comprising of mainly quartzites, siliciferous rocks, migmatite
gneisses, older granites with dolerites and pegmatite and other undifferentiated basement
rocks which are overlain by the Lower Turonian Eze-Aku Shale group (Fig 1.1), which
has a lateral equivalence with Amaseri Sandstone (Reyment, 1965; Dessauvagie, 1975).
According to Reyment, (1965), the sediments of the Eze -Aku Shale group was
formed during the Turonain time, a period of wide marine transgression in Nigeria when
the sea covered large parts of Eastern and Northern Nigeria. The sediments of Eze-Aku
Shale group are mainly flaggy calcareous shale and siltstone, grey or black in color
containing frequent impressions of “Inoceramus”. Minor bands of sandstone and shelly
limestone are also present (Dessauvagie, 1975). There are in many places facie changes
to sandstone or sandy shale as reported by Mamah and Eze, (1988). They were of the
view that the Formation represents a shallow water deposit and comprises hard black
shale and siltstones with frequent facie changes to sandstones or sandy shale. Locally, the
shale pass into thick sandstones such as Amaseri sandstone near Afikpo and the Makurdi
sandstone at Markurdi which consists of massive sandstone with thin beds of arenaecous
shale and calcareous shelly sandstone passing laterally into a shale – limestone sequence
(Reyment, 1965) . The Eze-Aku Shale is approximately 1000-1220 meters in thickness.
Exposures of the rock occurred mostly along the road cuttings of Katsina- Ala – Tsemaka
road towards Amaafu. Another salient feature of the lower Turonian of which Eze-Aku
Shale group belongs to is the concentration of vascoceratids of which Gombeoceras is
mainly a Nigerian genus, which is of importance and comprises moderately evolutes
species with a sub-quadrate whorl section and with costae inner whorls with ventro-
lateral tubercles and a low keel, which breaks into discrete siphonal tubercles at an early
xxiii
ontogenetic stage (Reyment, 1965). He further explained that the Eze-Aku Formation has
rich faunas with excellent index fossils such as ammonites; fossil assemblages of
pelecypods, gastropods, echinoids, fish teeth, decapods fragments and plant fragments
which helped date the formation as Turonian; though, much work has not been published
in the area to reveal its litho-stratigraphic units.
1.5 Hydrogeology
In the study areas: Amaafu, Depoor, Imande, and Tsekyor two geological
formations have been mapped (Fig1): sedimentary formation (Ezeaku-Shale Group)
which is of lower Turonian and occurred in minor extent at Amaafu vicinity, and the
undifferentiated Basement Complex of Nigeria which are thought to be of Precambrian
age.
Although the water bearing rocks in large quantity are the sedimentary rocks, the
basement rocks which underlies the area though hydro-geologically problematic appears
to present relatively good ground water potential thought to be the reliable aquifers for
small scale village, institution, industries and other water supply schemes. Offodile
(1983) explained that the crystalline rocks are poor ground water regions with recorded
average yield of 3960 liters /hrs (880gph) at average depth of 37.3m (123ft) and over
30% failure rate in water borehole drilling. Nevertheless, recent experiences have shown
that with appropriate knowledge of the geology and adequate hydro-geophysical surveys
and improved drilling techniques much better results can be achieved.
1.6 Groundwater
One of the most important natural resources is groundwater (Adetola and Igbedi,
2000); Singh et al. 2006). The liquid water may appear on the planet earth in three forms:
very large, medium and small bodies of standing water which appear in the forms of
oceans, seas, and lakes. Bodies of flowing water appear as rivers rivulets, streams and
springs. Finally the subsurface water includes all forms of water films around grains of
rocks, droplets in rock pore spaces and cavities in rocks filling them partly or completely
over variable areas and creating underground reservoirs (Singh et al. 2006).
Though the greater percentage of the earth is composed of water, there is little
fresh water on the earth (Montgomery, 1990). If the soil on which precipitation falls is
sufficiently permeable infiltration occurs. Gravity drains the water downward until an
xxiv
impermeable rock or soil is reached. The water begins to accumulate above the layer
immediately above the impermeable material as a zone of rock or soil that is water
saturated. This region is known as zone of saturation or the phreatic zone (Montgomery,
1990). Water fills all the accessible pore spaces here. Above the phreatic zone are rocks
in which the pore spaces are partially filled with water and partly with air. This is known
as the zone of aeration or the vadose zone. While subsurface water refers to the water
occupying pore spaces below the ground surface. Groundwater represents the water in the
zone of saturation (phreatic zone) and below the water table. Water table is defined as the
top of the zone of saturation where the saturated zone is not confined by overlying
impermeable rocks. All forms of water including bodies of standing water and flowing
water are collectively referred to as surface water. The water table is not always below
the ground surface. Whenever surface water persists as in a lake or stream, the water
table is locally above the ground surface and the water surface is the water table.
1.6.1 Porosity and Permeability
The two major determinants of the availability, quantity and exploitability of
ground water in any rock unit are the porosity and permeability (Montgomery, 1990).
Porosity is the proportion of void space in a material within mineral grains. It is the
volume of pore spaces compared with the total volume of a soil, rock or sediment
(Chernicoff and Whitney 2002). It may be expressed in percentage. Porosity determines
how much water a material can hold. The spaces between particles in soil, sediments or
sedimentary rocks determine the porosity. The factors that determine the porosity of
rocks includes cracks, fractures, faults and vesicles in volcanic rocks (Moonrey and
Wicander, 2005). Porosity also depends on the type, shape, size and arrangement of rock
materials. From these factors, well rounded grains tend to have large pore spaces and
therefore hold more water. When sediments contain grains of various sizes, it is said to be
poorly sorted.
xxv
The finer particles tend to fill the voids between the coarse particles clogging the pores
and reducing porosity. While cementation converts loose sediments to sedimentary rocks,
the cement fills the pore spaces and further diminishes porosity.
Fine clayey mud holds much more water when saturated than coarse sediments
because clay contains higher percentage of minute pores than the coarse sands. Water is
very difficult to extract from such rocks because of the extremely small size of the pores
(Chernicoff and Whitney, 2002). The tiny pore spaces retard the movement of water. As
the resistivity of sediments and rocks are controlled by the amount of water present and
the salinity (electrolytic conduction), clay minerals, all fine-grained or increasing silt or
clay content in poorly sorted rocks or sediment will reduce resistivity (Burger, 1992).
Thus, in saturated materials, increasing porosity will reduce resistivity.
Porosity generally decreases with depth. In crystalline basement rocks which are
usually found much deeper beneath the earth surface the minerals forming the rocks are
more compacted, consolidated and compressed, hence porosity is reduced. Nevertheless,
fracture as a result of weathering creates cracks, joints, and fissures on the rocks which
make them porous to some extent. In these cases it is the secondary porosity (fracture)
which provides the aquifer permeability and storage, and groundwater, thus, accumulates.
Permeability
Permeability is the measure of how readily fluid passes through materials. It is
related to the extent to which the pores or cracks are interconnected (Moonrey and
Wicander, 2005). Groundwater is stored within pore spaces and fractures in rocks. The
crucial factor that determines the availability of groundwater is not just how much water
the ground can hold, but whether the water can flow easily through the pore spaces.
Water flows slowly through rocks when the pores are very small as in clayey sediments.
Some water molecules may stick as fine films to adjacent particles, slowing the flow even
further. Hence water flows more easily only when the pores are relatively large.
According to Chernicoff and Whitney (2002), the pores between grains of sand
are more than 1000 times greater than the pores in clay, explaining why sand is much
more permeable than clay.
xxvi
Both porosity and permeability play important roles in ground water movement
and recovery. Wet sand dries easily but once clay absorbs water, it may take some days to
dry out because of its low permeability.
However, the porosity and permeability progressively reduces with the
proportion of fine materials such as silt or clay and also with consolidation. Table 1.1
shows the porosities and permeability of some rocks and sediments.
xxvii
Table: 1.1 Porosities and Permeability of some geologic materials (after Montgomery,
(1990).
FOR UNCONSOLIDATED MATERIALS
Geologic materials: Porosity (%): Permeability (m/day)
Clay 45−55 Less than 0.01
Fine sand 30−52 0.01−10
Gravel 25−40 1,000− 10,000
Glacial tilt 25−45 0.001−10
FOR CONSOLIDATED MATERIALS
Sandstone and
Conglomerate 5−30 0.3− 3
Limestone 1−10 0.00003− 0.1
(crystalline and
Un-fractured)
Granite (un-weathered) Less than 1−5 0.0003−0.003
Lava 1−30 (mostly 0.0003− 3
less than 10) Depending on the
presence of
fractures or
interconnecting gas
bubbles
1.7 Aquifer and Aquiclude
An aquifer is the term given to a rock or soil mass which not only contains water
but from which water can be readily abstracted in significant quantities (Hamill and Bell,
1986). The ability of an aquifer to transmit water is governed by its permeability. The
behavior of groundwater is controlled to some extent by the geology and geometry of the
particular aquifer in which it is found (Montgomery, 1990). When the aquifer is directly
overlain only by permeable rocks such as soil, it is described as an unconfined aquifer.
xxix
An unconfined aquifer may be recharged by infiltration over the whole area
underlain by that aquifer. A confined aquifer is bounded above and below by low-
permeability rocks. It is an underground layer of water bearing permeable rock or
unconsolidated materials from which ground water can be usefully extracted. The most
effective aquifer (water bearing, rock) is a deposit of well-sorted and well rounded sand
and gravel. Lime stone in which fractures and bedding planes have been enlarged by
solution are also good aquifers. Shale, clay, igneous and metamorphic rocks make poor
aquifers because they are typically impermeable unless fractured. These rocks that do not
easily transport groundwater are known as aquicludes.
1.8 Aims of the present research work
The present research work is aimed at investigating the groundwater potentials of
some selected areas within Katsina-Ala L.G.A of Benue State, Nigeria by
electromagnetic profiling and electrical resistivity prospecting techniques. The work is
anticipated to upgrade our knowledge on groundwater potential of the unconsolidated
materials in the crystalline basement by using EM as a fast and effective reconnaissance
tool for an effective resolution before VES. The research work is also aimed at
establishing the usefulness of VES as a possible tool in solving the complex hydro-
geological problems associated with crystalline basement areas and ultimately enhance
the successful identification and characterization of the aquifer type(s) using integration
of geophysical data (EM, and VES) and geologic data. The implementation of the results
obtained from this work will go a long way in providing back ground information for
future development of groundwater within economic drilling depth.
xxx
CHAPTER TWO
LITERATURE REVIEW
2.1 Previous works
Groundwater resource has been known to occur in three different geologic areas
in Nigeria Basement complex rocks of which the study area: NE of Katsina-Ala, Benue
State belongs. In assessing the groundwater potential in crystalline basement complex
rock areas of Nigeria, the following hydro-geological sub-provinces according to
Offodile (2002) have to be recognized:-
The older granite migmatite gneiss complex area, the metasediments, quartzites
and schists complex areas and the younger granite complex areas, though, he further
explained that a large area of Nigeria crystalline rocky areas is not yet mapped
geologically. The study area falls within the crystalline basement complex of Nigeria
consisting of the older granite, migmatite gneisses and other undifferentiated basement
complex which is overlain by the Eze-Aku Shale group (Fig1). Although a lot of work
has been done on the crystalline basement complex and sedimentary areas of Nigeria
concerning groundwater accumulation, occurrence, exploitation, development, local
tectonism, evaluation, vulnerability to pollution and hydro-geophysical studies, little or
no published facts has been done on the study area.
Several authors have successfully applied different geophysical methods: electrical
resistivity, electromagnetic (both in time domain and very low frequency), aeromagnetic,
magnetic, seismic refraction and even combination of two or more techniques in ground
water exploration and other needs.
Alile et al. (2008) confirmed the suitability of the electrical resistivity method in
groundwater exploration since there was a high correlation between the VES results and
the borehole values obtained from two sites in Edo State, Nigeria. Many borehole sites
have been surveyed across the different geological provinces of Nigeria with the aid of
VES by Selemo et al. (1995) of which appropriate measures were taken in order to
accommodate the problems of equivalence and suppression. The result of their findings
xxxi
revealed that there should be proper understanding of both the general and the local
geology in order to take the final decisions which are based on the aquifer characteristics
of the lithologic units. Vertical electrical resistivity sounding method was successfully
used in locating the site for successful borehole drilling and for the confirmation of the
Bende-Ameki formation in Agbede South-Western Nigeria (Adetola and Igbedi, 2000).
The method was also used in surveying for groundwater in Idemili and Anambra
local government areas of Anambra State (Obiakor, 1984) and for locating a deep water
bearing fracture zone in basement rock at Central Mining Research Institute (C.M.R.I ) in
Dhanband, New Delhi (Singh et al. 2006). Mohammed and Lee (1985) located the proper
sites for borehole drilling in Perlis using the off-Wenner electrical resistivity procedures,
though the similarity of the electrical properties of the bed rocks made the interpretations
more difficult. Mc-Dougal et al. (2003) employed the vertical electrical sounding in the
investigation of subsurface geologic conditions as they relate to ground water flow in
Wyoming. Investigations carried out using nine different sites along the Jhang Branch
Canal revealed that resistivity survey is an expensive method for characterizing
groundwater conditions (Arshed et al. 2007). Here, the interpretations of the resistivity
data demonstrated that the sites which have aquifer depths between 30m and 140m
indicated the existence of large quantity of fresh water. In the assessment of groundwater
of Yola- Jimeta areas, Eduvie (2002) used the method to arrive at the conclusion that the
groundwater potentials of the Bima Sandstone is very high and requires properly
designed and constructed boreholes for maximum yields. On the basis of resistivity
sounding data, it may be possible to demarcate the unproductive zones where prevalence
of clay is indicated (Bose et al. 1972). The productive zones may subsequently be
classified into sub zones according to the order of their groundwater potentials. The
interpreted data of the groundwater exploration using the vertical electrical sounding
technique with Schlumberger configuration which were conducted by Dhakate et al.
(2008) in Wailpally watershed area of Nalgonda district in India were used to develop
maps of groundwater potentials. The maps showed the regions of good, moderate and
poor aquifer zones.
Offodile (1983) in his studies on Nigerian Basement Complex rocks, was of the
opinion that though the crystalline basement rocks are thought to be impermeable and
xxxii
non-water bearing , their groundwater potential appear to improve with induced
secondary permeability derived from fractures, joints, and solution channels. He further
explained that with adequate hydro-geophysical surveys ; aerial remote sensing technique
designed to identify fractures and other features of hydro-geophysical interest and
electrical resistivity method (constant separation profiling) with improved drilling
techniques: down the hole hammer (which has higher penetration and at the same time
opens the fractures intercepted as drilling progresses) deep weathering and fractures
encountered have given higher yields of between 6819 lits/hr (1500gph) to 18,184lit/hr at
an average depth of 39m.
A preliminary geophysical investigation using combined electrical profiling with
Wenner array configuration and vertical electrical sounding with Schlumberger
configuration using ABEM SAS 300 Terrameter with all the accessories was used in
some selected areas of the Federal Polytechnic Ado-Ekiti by Isife et al. (2000) for the
purpose of locating sites for productive water boreholes. They revealed that the
subsurface geo-electric sections and iso-resistivity maps showed that a thick over burden
overlaid a fractured zone in the south eastern, south –western and north-eastern parts of
the area which are diagnostic of a reliable and sustainable groundwater source -suitable
for borehole development at the Polytechnic.
In another development Egwebe et al. (2004) estimated the aquifer potential at
Ivbiaro, Ebesse Edo State using the geo-electrical direct current resistivity technique. The
interpretation of the data indicated a depth of 96-147m to the aquifer (sand) within the
sand /shale sequence of the Mamu Formation. Ariyo et al. (2009) in their work:
electromagnetic very low frequency (VLF) survey for groundwater in a contact terrain
identified fourteen (14) major geological interfaces suspected to be faults /fractured zones
which are suspected target zones for ground water development in the area. Although the
anomalous zones are of high conductivity which is a parameter for characterizing a water
saturated zone, air filled altered or fissured bedrock, or predominantly clayey regolith
may exhibit such anomalies. Nevertheless, electromagnetic profiling is not efficient
enough to determine the groundwater potential (in the study area) as it can only provide a
qualitative interpretation. There is a need for integrated approach.
xxxiii
Furthermore, Amadi and Nuruden (1990) used a frequency of 3.6 kHz for a
slingram electromagnetic technique to delineate the relationship between well yield and
the observed secondary anomalies in the crystalline basement complex of Nigeria. They
are of the view that boreholes located in areas with the most negative anomalies produce
correspondingly high yield of about 0.52 liters per second there by considering slingram
method, a yield enhancement technique of about 90% chance of locating productive
boreholes. A geo-electrical and hydro-geological investigation techniques with ten
Schlumberger VES profiling conducted across Gombi, Hong and Mubi, a part of
Adamawa State, have been interpreted by Nur and Afa (2002) both qualitatively and
quantitatively revealing three electro stratigraphic earth model. The topsoil with an
average thickness of 8.10metres and weathered/fractured basement of an average
thickness 26.70metres and mean resistivity of 176.447ohm meters and finally a third
layer of mean resistivity 356-718 ohm meter. Based on these, the weathered /fractured
basement rocks of the areas which have the least resistivity form the aquifer.
Uniquely, ground magnetic and electrical resistivity methods vis-à-vis vertical
electrical sounding with Schlumberger configuration and horizontal profiling with
Wenner array configuration were carried out to investigate the groundwater occurrence in
the Fobour area of Jos Plateau which is underlain by Precambrian basement rocks by
Ohams et al. (1988). They posit that although ground magnetic method is not a common
geophysical method for groundwater investigation its application was justified by the
geology of the area: to trace contacts between various types of crystalline rocks and to
trace out on the surface the course of dykes and/or other intrusions which may cross the
project area; as these bodies could act as impermeable barriers to water flow, thus
contributing to the accumulation of groundwater. They asserted the thickest portion of the
weathered and fractured zones. The combination of results of the geophysical
measurements also led to an even better resolution of the geologic situation at depth.
In accordance with Ohams et al. (1988), Ugwueke et al. (2005) in their quest for
local tectonics and ground water accumulation in basement terrain, the study of the
North-Eastern part of Guoza area of Borno State, Nigeria, stated that dyke intrusions and
fracturing in the basement rocks induce groundwater accumulation.
xxxiv
In the same vein, Ajayi and Hassan (1990) used resistivity to delineate the
decomposed basement with low resistivity value (20-1000 ohm-meter) which forms the
aquifers that are subject to groundwater development. Their findings were in agreement
with Oyedele and Adeyemo (2001) who are of the opinion that the water bearing aquifer
of the basement terrain of Northern Nigeria has a low resistivity of 80-1860m with a
thickness of 14-28m.
Olaleye (2005) in his report of the soil structure on borehole depth determination
used VES in crystalline basement to assert that the sites selected for VES had their main
aquifer around the depth of 35 to 50m which fall within the fractured basement.
For an effective water planning, Egbu (2000) used VES in Imo State Nigeria to
ascertain that areas with lower resistivity are probable sites for aquifer thus area of
productive borehole sites.
xxxv
In an attempt to elucidate the groundwater conditions for subsequent exploitation
in Ivioghe area of Edo State Nigeria using resistivity investigations, Oteze and David
(2002) observed that at a deeper depth of about 300m, a poor aquifer can be exploited.
Eduvie (2002) evaluated the groundwater resource of the Gundumi Formation using
resistivity survey. He was of the opinion that amongst the multilayered geo-electric
environment, the last layer typical of a sedimentary terrain has the lowest resistivity
which is suggestive of weathered basement complex rocks underlying the sandstone
which is the most prolific aquifer.
Bayode et al. (2006) used resistivity survey with Schlumberger configuration to
characterize aquifer in the basement complex terrain of parts of Osun State, Nigeria. He
delineated three aquifer types namely weathered layer aquifer, weathered/fractured
unconfined aquifer and the weathered/fractured confined aquifer. They also added that
amongst the aquifer types, the weathered layer aquifer constitutes the principal water
bearing unit in the area.
On the same vain, Adelusi and Balogun (2001) also characterized the aquifer
types of Orita Obele area near Akure SW Nigeria with VES employing Wenner array.
They classified the aquifer into weathered basement, fracture unconfined and fracture
confined aquifer types which revealed the hydro-geophysical characteristics of the area.
Iyioriobhe and Ako (1986) are of the view that the Bima Formation of Gombe
Sub-catchments Benue Valley, Nigeria has a good aquifer because of the presence of
fracturing which makes the formation porous and fairly permeable.
Land et al. (2004) invariably used time domain electromagnetic survey to identify
areas of salt water encroachment caused by high volume of discharge from local supply
wells in Eastern North Carolina. Their findings were based on the fact that resistivities
lower than 10Ωm indicate presence of saline formation fluids which can be contradicted
with the presence of clay.
Richards and Troester (1998) used electromagnetic geophysical survey to
estimate the freshwater lens of Isla Dc Mona, Puerto Rico. They suggested that the
freshwater lens has a maximum thickness of 20m in the Southern half of the Island,
marked by the transitional rapid rising in the bulk electrical conductivity from the
freshwater to saline water in the aquifer zone.
xxxvi
Olayinka (1990) after conducting electromagnetic profiling for groundwater in
Precambrian Basement complex area of Nigeria opined that boreholes drilled at high
conductivity anomalies are of economic aquifer, though, contrasting with a
predominantly clayey regolith. Shahid and Nath (2010) took the advantage of GIS
integration of remote sensing and electrical sounding data for hydro-geological
exploration to model the hydro-geological condition of a soft rock terrain in Midnapur
District, West Bengal, India. Weights were assigned to different ranges of resistivity and
thickness values based on their position on the geologic map.
2.2 Review of Geo-electric Techniques.
The geo-electric techniques adopted for this research work are electromagnetic
profiling (very low frequency) and electrical resistivity sounding (vertical electrical
sounding).
2.2.1 Electromagnetic Survey
Electromagnetic (EM) survey methods make use of the responses of the ground to
the propagation of electromagnetic field; which are composed of an alternating electric
intensity and magnetizing force (Kearey and Brooks 1991, Ariyo et al. 2009).
Electromagnetic survey does not require contact with the ground Mamah and Eze,
(1988); McNeill, (1983) therefore the speed with which EM can be operated is much
greater than other electrical methods. In electromagnetic survey, there is a close analogy
between the transmitter, receiver and the buried conductor in the electromagnetic field
situation and a trio of electric circuit coupled by electromagnetic induction (Telford et al.
1990).
Electromagnetic surveys are intended to detect the changes in the bulk
conductivity of the earth with depth at various locations. This is achieved by generating
alternating current (primary electromagnetic fields) through a small coil made up of many
turns of wire or through a large loop of wire (transmitter) and sending it on the
subsurface. The subsurface conductor will respond by generating secondary
electromagnetic fields and the resultant field detected by alternating currents that they
induced to flow in a receiver coil by electromagnetic induction. In other words, the
primary electromagnetic field travels from the transmitter coil (Tx) to the receiver coil
xxxvii
(Rx) through paths above the surface and below the surface as shown in the Figure 2.1
below.
Furthermore, where the subsurface is homogenous there is no difference between
the fields propagated above the surface and through the ground rather a slight reduction
in amplitude on the subsurface propagation. Nevertheless, in the presence of a conducting
body (ore minerals, water, or salt intrusions) the magnetic component of the
electromagnetic field penetrating the ground induces alternating currents or eddy currents
to flow in the conductor.
The eddy currents generate their own secondary electromagnetic fields which
travel and are recorded by the receiver. The receiver then responds to the resultant of both
the arriving primary and secondary fields so that the response differs in both phase and
amplitude. These differences between the transmitted and received electromagnetic fields
reveal the presence of the conducting body and at the same time provide information on
its geometry and electrical properties.
Unlike the electrical resistivity survey, electromagnetic survey needs no physical
contact of either transmitter or receiver with the ground thus making the survey much
more rapid (Ariyo et al.2009, McNeill, 1980b). The depth of penetration according to
Ezema, (2005), Kearey and Brooks, (1991) depends upon its frequency and the electrical
conductivity of the medium through which it is propagating.
xxxix
The EM fields are usually attenuated as they pass through the ground, their
amplitude decreasing exponentially with depth. The depth of penetration “d” is defined as
the depth at which the amplitude of the field “Ad” is decreased by a factor e-1
compared
to its surface amplitude Ao.
Ad = Ao e-1
Where d = 503.8 (σf)-1/2
Hence d is in meters, the conductivity σ of the ground is in Sm-1
and the frequency f of
the field is in Hz. Consequently, the depth of penetration increases as both the frequency
of the electromagnetic field and the conductivity of ground decreases. The maximum
depth hc at which a conductor may lie and still produce a recognizable electromagnetic
anomaly is: hc = 100 (σf)-1/2
. The relationship is approximate as the depth of penetration
depends upon such factors as the nature and magnitude of the effects of near surface
variation in conductivity, the geometry of the subsurface conductor and instrumental
noise. On the other hand, the frequency dependence of depth of penetration places
constraints on the electromagnetic method employed.
The field procedures for electromagnetic surveying may involve Airborne
Electromagnetic Survey, (AEM), Time Domain or Transient Electromagnetic Survey
(TEM) or Very Low Frequency Electromagnetic Survey (VLF). Airborne
xl
electromagnetic surveys are conducted during low-level helicopter passes over selected
areas to measure electrical conductivity of the ground at multiple frequencies using a
helicopter carrying a torpedo-shaped aerial sensor that houses an electromagnetic
transmitter and receiver system (Fitterman and Deszez-Pan 2003). As the system
transmits an electromagnetic field (radio waves) into the ground and then measures the
responses due to the changes on the geology of the earth, the data collected are processed
into mapped images that give geophysicist a composition model of the earth’s subsurface
resistivity (conductivity) condition. It is safely used in mineral exploration and evaluation
of land features and natural resources. It covers a large area within a short period of time
making the procedure the fastest means of electromagnetic surveying.
The transient or time domain technique is a time domain method in which a current
in a transmitter loop is abruptly shut off and the collapse of the electromagnetic field
around the transmitter loop induces a transient current in the ground. The receiver coil
measures the time decay (time-off) of this transient current. Mamah (1984) pointed out
that the decaying eddy currents produce a secondary magnetic field which decays within
a relatively short time depending upon the physical and geometrical properties of the
medium. He further added that the early part of the transient is governed by energy
received from shallow depths while the later part of the response is due to lower
frequency energy which is able to penetrate greater depths. This time domain
electromagnetic survey has a higher penetration up to about 19km on the sub-surfaces. As
the process continues the result is a series of eddy currents that propagate downward and
outward into the subsurface beneath the transmitter loop (Mc Neill, 1994). The intensity
of the eddy currents at specific times and depths is determined by the bulk conductivity
of subsurface rock units and their contained fluids. Transient electromagnetic survey is
useful in delineating subsurface structures in areas where more conventional method such
as seismic reflection fails to give adequate result. In areas which are covered
predominantly by volcanic or metamorphic over thrust, time domain electromagnetic can
be used in conjunction with other methods like gravity and magnetic to form a geological
model of the subsurface. Above all it provides an efficient, inexpensive and semi-
quantitative method of characterizing subsurface conditions and evaluating groundwater
xli
resources in coastal aquifers at fairly high vertical resolution to depths of several hundred
meters on both local and regional scales (Land et al. 2004).
The very low frequency (VLF) method of electromagnetic survey utilizes
electromagnetic radiation sources generated in the low frequency band of 15-25 KHz by
the powerful radio transmitters used in long-range communications and navigational
systems (Kearey and Brooks 1991). This method compares the magnetic field of the
primary signal (transmitter) to that of the secondary signal (induced current flow within
the subsurface electrical conductors). In Nigeria, there are many powerful F.M stations
and their signals can be used for EM surveys within distances of hundreds of kilometers.
At large distances from the source, the magnetic field is vertical to the direction of
propagation. If a conductor lies in the direction of the transmitter the magnetic vector cuts
across it and the induced eddy currents produce a secondary magnetic field.
Consequently, conductors striking at right angles to the direction of propagation are not
cut effectively by the magnetic vector.
2.2.2 Electrical Resistivity Survey
The idea of resistivity surveying was first marked by Conrad Schlumberger near
the beginning of this century by injecting electrical currents into the ground and mapping
the resulting potential field distribution as a technique for mapping subsurface geology
(McNeill, 1980a). Since then, measurement of terrain resistivity has been applied to a
variety of geological problems vis-à-vis, determination of rock lithology and bedrock
depth, location and mapping of aggregates and clay deposits, mapping groundwater
extent and salinity, detecting pollution plumes in groundwater, mapping areas of high ice
content in permafrost regions, locating geothermal areas, mapping archeological sites etc.
The propagation of electric current in rocks and minerals may be in three ways:
electronic (Ohm) conduction, electrolytic conduction and dielectric conduction. Most
geologic materials are composed of minerals which are electrically insulators at the
temperature usually encountered in the near surface environment. Typically some rocks
conduct electricity only through fluid filled pores and fractures (Fitterman and Deszez-
Pan, 2001) while some are electrically conductive due to high content of magnetic
substances.
xlii
Electronic conduction is the normal type of current conduction in metallic
materials which contain free electrons. In electrolytic conduction, current is carried by
ions at comparatively slow rate. Dielectric conduction takes place in poor conductors or
in insulators which have very few or no free charge carriers (Telford et al. 1990, Ezema,
2004, Lowrie, 1997).
2.2.2.1 Theory of Electrical Resistivity in Rocks.
The origin of electrical resistivity theory is the Ohm’s law (Grant and West 1965),
which states that the ratio of potential difference, V, between two ends of a conductor in
an electrical circuit to the current, , flowing through it is a constant.
V= R…………………………………………..........(1)
where R is a constant known as resistance measured in Ohms (Ω). If the
conductor is a homogeneous cylinder of length, L, and cross sectional area, A, the
resistance will be proportional to the length and inversely proportional to the area
(Duffin, 1979).
R=ρLA…………………………………………......(2)
where ρ is the resistivity measured in ohm-meter (Ω-m).
The earth’s material is predominantly made up of silicates which are basically non-
conductors. The presence of water in the pore spaces of the soil and in the rocks enhances
the conductivity of the earth when an electrical current, is passed through it, thus
making the rock a semi-conductor.
Since the earth is not like a straight wire and it is anisotropic, the ohm’s law has to be
modified for use as follows:
Substituting equation (2) in (1):
V=ρL/A…………………………………………….(3)
Current density, j, is defined as /A, then
V = jρL……………………………………………...(4)
If the electrical field generated by the current is E across the length when a
potential difference, V, is applied then the potential difference can be defined (Evwaraye
and Mgbanu, 1993) as:
V = EL……………………………………………...(5)
E = jρ…..…………………………………………...(6)
xliii
where, E is the electric field strength with dimension of volt per meter. If the
current electrode is taken to penetrate a small hemisphere of radius, r then the area of the
hemisphere becomes 2πr2. Substituting for E and integrating equation 5 gives:
∆V = ∫E∙dr∙ (Duffin 1979)…………………………..(7)
Or ∆V = Iρ.2πr……………………………………..(8)
and ρ = ∆V/2πrI ……………………………………..(9)
Since the earth is not homogeneous, equation 9 is used to define an apparent
resistivity, ρa which is the resistivity the earth would have if it were homogeneous (Grant
and West 1965).
Equation 9 can be written in a general form as:
ρa=∆V∙G …………………………………………....(10)
where, G is a geometric factor fixed for a given electrode configuration. The
Schlumberger electrode configuration has been used in this study. In this arrangement,
current is injected into the earth through two electrodes which create a potential field
which is detected by another pair of electrodes. The geometrical factor for the
Schlumberger electrode configuration is given by:
G = π((AB/2)2−MN/2)
2 …………………………....(11)
2(MN/2)
where:
AB = the distance between two current electrodes
MN = the distance between two potential electrodes.
G = the geometric factor for Schlumberger array.
Electrical resistivity (ER) sounding is intended to detect changes in resistivity of
the earth with depth at locations assuming horizontal layering. This is achieved by
successive increase in current electrode spacing. A direct current of low frequency
alternating current signal is driven into the ground with the aid of two current electrodes
(Dobrin, 1985) and the resulting potential difference recorded by a sensitive instrument at
xliv
various locations on the surface of the earth. The information from the data can be used
to deduce the geo-electric section of the earth.
In practice, the system consists of two current electrodes A and B and two
potential electrodes M and N as shown in Fig 2.2.
The current electrodes A and B act as source and sink respectively. At the
detection electrode M, the potential due to the source A is ρІ( 2πrAC) while the potential
due to the sink B is -ρІ (2πrcB). The combined potential at M is:
VM= ρІ/2π (1/rAM−1/rMB)………………………………...(12)
Similarly the resultant potential N is:
VN=ρI2π (1/rAN−1/rNB)..…………....……….............(13)
The potential difference measured by a voltmeter connected between M and N is:
V=ρI2π (1rAM−1/rMB) − (1/rAN−1/rNB)…………...........(14)
The ground apparent resistivity, ρa can be expressed as:
ρa= 2π.∆V/I [ 1/(1/rCM−1/rMB)−(1/rAN−1/rNB)].......................(15)
∴ ρa=G∆V/I............................................................................(16)
where, G is the geometric factor, which depends only on the spatial arrangement of both
the current and potential electrodes. Equation 10 or 16 is of practical importance in the
determination of earth’s resistivity.
The physical quantities measured in field determination of resistivity are current, I
flowing between the two current electrodes, A and B; the difference in potential, ∆V,
between the two measuring potential electrodes, M and N and the distance between the
various electrodes (Keller and Frischknecht, 1966).
The field procedure for electrical resistivity surveying may involve either vertical
electrical sounding (VES) or constant separation traversing (CST). The latter which is
also known as electrical mapping deals with lateral variations of resistivity along the
horizontal ground. It is primarily useful in mineral prospecting and for the location of
faults or shear zones (Kearey and Brooks, 1991).
1
V
rAM rMB
A M N B
xlv
Fig. 2.2: General four- electrodes configuration for resistivity measurement, consisting of
a pair of current electrodes (A,B) and a pair of potential electrodes (M, N) (Adapted from
Lowrie, 1997).
On the other hand, vertical electrical sounding (VES) is particularly used in the
determination of electrical conductivity (resistivity) with depth using the assumption of
xlvi
horizontal profiling. VES has been the most important geophysical method for
groundwater prospecting in many areas (Parasnis, 1986).
The essential idea behind VES is the fact that as the distance between the current
electrodes, A, B is increased the current passing across the potential electrodes carries a
current fraction that has returned to the surface after reaching increasingly deeper levels.
The technique is extensively used in geotechnical surveys to determine overburden
thickness and also in hydrogeology to define horizontal zones of porous strata.
2.2.2.2 Potential distribution in a homogenous medium (theoretical assumption)
The medium is assumed to be homogenous and isotropic. A homogeneous and
isotropic medium implies that the properties are the same in all directions.
Applying Ohm’s law:
Ј.σΕ …………...............................................(17)
where Ј = current density, σ =conductivity and Ε=electric field.
Using that: Ε = - u……..........................................(18)
This means that the electric field is the negative gradient of a scalar potential.
where u is potential,
We obtain that:
Εdѕ = O (for homogenous and isotropic medium; here the field is
conserved as shown above).
Here the current is conserved because there is no sink and no source.
From (17), Ε = Ј
σ
and from (18) Ј = -u ……...................................(19)
Ј = -u………………..........................................(20)
Taking, the divergence of equation (20) we have
`q2.Ј = -•u = 0 ……….............................................(21)
(Since the medium is homogenous and isotropic), equation (21) is equated to zero
because in a homogenous and isotropic medium a field is always conserved, hence the
divergence will indicate neither source nor sink. Also in this case of homogenous and
isotropic medium, the conductivity σ is constant and can be neglected.
xlvii
Equation (21) becomes:
• (U) =0
2 U = 0 (Laplace equation) …................................(22)
2.2.2.3 Solution of Laplace equation and boundary conditions
Laplace equation admits several solutions. For any solution to be meaningful
certain assumptions called boundary conditions or axioms are postulated. The axioms
make the solution to be practical.
Nosal, (1983) noted that the axioms determine the kind of solution that is
ultimately derived, but they are chosen as consistent and reasonable statements about the
general engineering and interpretative expectations. The following conditions are
imposed:
(i) There are two layers of conductivity 1 and 2
(ii) The potentials must be continuous across the boundary
(iii) The normal component of Ј must be continuous across the boundary.
Hence 1 du = 2 du .................................................(23)
dn dn
where: n refers to the normal component.
To obtain the potential distribution due to the point source, it is assumed that the
point source is located at the origin of a spherical co-ordinate system.
In the spherical co-ordinate system, equation (22) becomes
2u = d (r
2 du) + 1 d (sin du) + 1 d
2u = 0 .......…(24a)
dr dr r2sinθ
d dθ r
2Sin
2 dϕ
2
The point source is at the origin of the co-ordinate system, and by so doing the
Laplace of U will depend on r and independent of and ϕ.
Then equation (24a) reduces to:
2u = d (r
2 du) = O ….....................................................(24b)
dr dr
Integrating and solving for U, we obtain
r2 du = C ….........................................................................(24c)
dr
xlviii
du = C dr………….................................................................(25a)
r2
Integrating again we have U = -C + D …..............................(25b)
r
The value of the constant D when r approaches (tends to) infinity is zero.
To determine the constant “D”
U = -C + D………..equation (25b) is a linear equation if r , 1 = O
r r
and D = U. But the potential at infinity = 0 hence D = 0
U = -C ……………………………..................................(26)
r
If the point source delivers a current I to a medium of resistivity, ρ, then, for a closed
surface, S, the current density integral will be:-
I = sЈn• ds = s1 Ends …..............……....................(27a)
ρ
where, Јn is the normal component of the current density vector.
But, I = - du from equation (27)
dr
Hence I = 1 - dr
du ds …………............…......................(27b)
ρ
If the surface enclosing the source has a radius r then, the integral can be evaluated to:
I = 1 r
c2
•ds (from equation 25a) …..........…….........(28)
ρ
∴ I = - C •4π r2…………...................................................(29)
ρr2
Or C = - ρ
4π
And U = ρ • I
4π r………………...............…..........................(30)
xlix
for a half space
U = ρ • I
2π r……………………...........…….......................(31)
and ρ = 2πru
I
But U = R……………………….......……..........................(32)
I
CHAPTER THREE
DATA ACQUISITION
3.1 Instrumentation
Two sets of instruments were used in this survey: Geonics EM34-3 for the
electromagnetic data collection and ABEM Terrameter SAS 300C for the electrical
resistivity data collection.
3.1.1 Electromagnetic Equipment (Geonics EM 34-3)
Geonics EM 34-3 which is two -man portable (McNeill, 1980b) is based on the
principle of electromagnetic induction described in section 2.2.1 and Figure 2.1 of this
study. It has a local d.c power source (12volts) and two coils flexibly connected (Plate
1.1a). A 20m inter - coil cable length was used to connect the transmitter coil with the
receiver coil. This inter coil spacing is measured electronically so that the receiver
operator simply reads a meter to accurately set the coil to the correct spacing (20 meters).
The time varying magnetic field arising from the alternating current in the transmitter coil
induces very small currents in the earth. These currents generate a secondary magnetic
field Hs which is sensed together with the primary field, Hp by the receiver coil.
Consequently, the secondary magnetic field is a complicated functions of the inter-coil
spacing, s, the operating frequency f, and the ground conductivity, .
However, under certain constraints technically defined as “operation at low
values of induction number” the secondary magnetic field is a very simple function of
these variables incorporated in the design of the EM 34-3 (McNeill, 1980b), whence the
secondary magnetic field is calculated thus:
Hs = iωµoσs2
Hp 4 ........................................................................(33).
l
where:
Hs = secondary magnetic field at the receiver coil
Hp = primary magnetic field at the receiver coil
ω = 2f
f = frequency (Hertz)
µ = permeability of free space
= ground conductivity (mho/m)
s = inter coil spacing (m)
i = √-1
The apparent conductivity indicated by the instrument is deduced from equation
(33) as:
= 4/ωµs2 (Hs/Hp)................................................................(34)
To measure the terrain conductivity the search coil is either held horizontally
(measurement in vertical dipole mode) or vertically (measurement in horizontal dipole
mode)Plate 1.1b and 1c respectively.
In either of the modes, the transmitter operator stops at the measurement station,
the receiver operator (the researcher) then moves the receiver coil backwards or forwards
until the meter indicates correct inter- coil spacing (20m). At this point the receiver
operator reads the terrain conductivity from a second meter. The procedure takes about
10 -20 seconds. The measurement is first carried out in the horizontal coil orientation
(vertical dipole mode) and later the corresponding vertical coil orientation (horizontal
dipole mode) along the same profile. The vertical coil orientation gives information about
the shallow subsurface while the horizontal coil orientation penetrates deeper into the
subsurface (McNeill, 1980b).
3.1.2 Electrical Resistivity Instrument (ABEM SAS 300C)
li
The most important equipment used for the resistivity field measurements
includes: ABEM Terrameter (SAS 300C model), suitable source of direct current (d.c) or
low frequency a.c power supply (preferably less than 60Hz or 12 volts battery, four
stainless steel non-polarizing electrodes (ABEM Instrument Manual, 2009), measuring
about 50cm long; two for measuring potential difference and the remaining two for
measuring current, potential cable reefs, hammers for driving in the electrodes, tapes,
recording devices, and cutlasses.
lii
a
b
cFig.3.1:(a)The EM34-3 and the coils (b) crew members during data collection with horizontal coil (c) crew members during data collection with vertical coil at one of the EM Traverses.
b
liii
The ABEM Terrameter SAS 300C (signal averaging system) is a digital
instrument. It has detachable rechargeable battery, both the battery and the Terrameter are
housed in a single casing (Fig 3.2a). The Terrameter has three major operational units:
transmitter, the microprocessor and the receiver. The instrument is designed to measure
both current, and the potential difference, V simultaneously and automatically display
the resistance, R = V/I of the ground in ohm (Ω). The whole process can be described as
a convolution. The input sequence, (the earth function) is transformed to an output
sequence and displayed in digital form. Measurements were taken with the cycle selector
switched for four averaged readings.
3.2 Field procedures
The period for the field work was between March and April when the ground was
considerably moist. This ensured good current conduction between the earth and the
electrodes. Both the electromagnetic and the electrical resistivity measurements were
taken along approximately straight roads and footpaths (Fig.1.2). The data collection was
performed by a four-man crew which included the research reporter. For the EM, the
researcher recorded the readings from the receiver and the other man adjusted the
transmitter. For VES, two men were positioned at the centre of the spread: the researcher
who was controlling the instrument, adjusting readings and recording the data from the
Terrameter and monitors, through the Terrameter’s display, when electrical contact was
poorly established or otherwise. The Terrameter usually displays negative resistance
when signal current to the ground is insufficient. At such stages the instrument observer
adjusts to high current signals.
liv
c
b
a
Fig......(a)Electrical resistivity instrument (b) and (c) Some crew members during data collection at one of the VES points
3.2
lv
The second person at the centre of the spread adjusts the potential electrodes
when necessary and communicates to the rear men when to take the necessary steps of
the observational procedures. This was usually done during lopping. At looping stage,
different resistance readings were taken at the same current electrode separation. The
essence of looping is to permit the detection of near surface in-homogeneities. He also
established communication contact between the instrument controller and the two rear
men especially when they are very far from spread centre. The rear-men are responsible
for maintaining the current electrode spacing, moving and driving the current electrodes
into the ground (Plate 1.2a & b).
Before each EM survey in the study area: Depoore, Imande, Tsekyor and Amaafu;
a quick on the spot inspection was carried out to decide where to run the traverse line.
The traverse was carried out taking readings at each station (20 meters) till the end of the
line. Each reading consists of two values measured for horizontal and vertical coils
coplanar respectively. The same procedure was repeated for each of the eight EM
traverses: T1-T8 using existing roads and footpaths (Figure 1.2). Unlike conventional
resistivity surveying techniques there is no ground contact for the operations (Ariyo et al.
2009, Mamah and Eze, 1988, McNeill, 1983).
In each location, two traverses running perpendicular to each other were created
(Figure1.2). To minimize the effect of coil misalignment and spacing error, the two coils
were maintained as close to coplanar as possible at all times in either mode of operation
(McNeill, 1983). Since conductivity high often correlates with deeply weathered
materials, fractures or conductive bodies which is often the target in hydro-geophysical
investigation (Olayinka, 1990), where identified were priority areas for depth sounding.
This is because electrical resistivity is cheap and has a relatively high diagnostic value
(Ariyo and Adeyemi, 2009) and can furnish information on subsurface geology (Nur and
Kujir, 2006), without the large cost of an extensive programme of drilling (Kearey and
Brooks, 1991). The readings for the EM traverses are shown on Tables 2.1-2.8. The
measurements (data collected) were interpreted qualitatively in the field and at inflexion
points estimates to the depth and probably the thickness to the water units, which
information was not directly provided by the EM 34-3 measurements, were carried out by
lvi
vertical electrical soundings. These electrical resistivity measurements were made on all
the EM traverses.
Though, there are many electrode arrays that could be used in resistivity survey, viz-
Wenner array, Schlumberger array, lee partitioning, pole dipole array and double dipole
array, the Schlumberger electrode configuration was employed for the vertical electrical
sounding conducted in the project area because, field operation is easy. The maximum
current electrode separation (AB) was 340m although much later shorter electrode
separations proved adequate for getting the high resistive values characteristic of
basement rock. The potential electrodes were expanded symmetrically about a fixed
centre of spread (Parasins, 1986, Kearey & Brooks, 1991).
A total of fifteen (15) vertical electrical sounding points were carried out: at two
VES points in each EM traverse in the four locations except at Amaafu where only three
VES points were made in the two EM traverses. The readings for the fifteen VES points
are shown on Tables 2.9 -2.12.2.
3.3 Data Presentation
A total of eight (8) electromagnetic traverses and fifteen (15) vertical electrical
sounding profiles were carried out in the selected communities and presented on Tables
2.1 – 2.12.2.
lvii
Table 2.1 Field Data for EM Traverse 1 (Depoor)
Station No STATION
INTERVAL(m)
Horizontal
coil(Hc),(mS/m)
VERTICAL
Coil(Vc),(mS/m)
1 0 90 80
2 20 92 68
3 40 76 70
4 60 55 82
5 80 50 66
6 100 51 58
7 120 50 76
8 140 52 90
9 160 56 92
10 180 72 94
11 200 80 94
12 220 84 86
13 240 92 92
14 260 110 105
15 280 130 74
16 300 130 105
17 320 85 110
18 340 74 140
19 360 120 140
lviii
Table 2.2:Field Data for EM Traverse 2 (Depoor)
STATION NO Station interval (m) HORIZONTAL Coil
(Hc),(mS/m)
VERTICAL Coil (Vc)
(mS/m)
1 0 67 86
2 20 64 46
3 40 52 78
4 60 50 54
5 80 46 54
6 100 39 48
7 120 34 50
8 140 32 52
9 160 37 54
10 180 50 67
11 200 68 125
12 220 82 62
13 240 83 130
14 260 80 120
15 280 66 70
16 300 47 77
17 320 35 96
18 340 39 98
19 360 58 99
20 380 64 56
21 400 67 100
22 420 56 88
23 440 50 88
24 460 48 72
25 480 50 78
26 500 50 70
27 520 42 68
lix
Table 2.3: Field Data for EM Traverse 3 (Imande)
STATION NO STATION
INTERVAL(m)
HORIZONTAL coil
(Hc),(mS/m)
VERTICAL coil
(Vc),(mS/m)
1 0 170 90
2 20 120 90
3 40 70 70
4 60 50 90
5 80 60 80
6 100 100 60
7 120 90 90
8 140 90 60
9 160 70 80
10 180 80 70
11 200 120 90
12 220 140 60
13 240 100 70
14 260 90 60
15 280 80 70
16 300 60 80
17 320 70 80
18 340 70 60
19 360 60 80
20 380 80 30
21
400 100 70
Table 2.4: Field Data for EM Traverse 4 (Imande)
STATION NO STATION
INTERVAL(m)
HORIZONTAL Coil
(Hc), (mS/m)
VERTICAL Coil
Vc,(mS/m)
1 0 160 110
lx
2 20 160 150
3 40 160 110
4 60 150 170
5 80 160 50
6 100 130 80
7 120 90 130
8 140 120 80
9 160 120 70
10 180 120 90
11 200 90 120
12 220 80 70
13 240- 80 70
14 260 60 80
15 280 70 70
16 300 90 80
17 320 100 90
18 340 90 90
19 360 90 90
Table 2.5: Field Data for EM Traverse 5 (Tsekyor)
STATION NO STATION
INTERVAL (m)
HORIZONTAL Coil,
Hc (mS/m)
VERTICAL Coil, Vc,
(mS/m)
1 0 22 48
2 20 26 48
3 40 34 58
4 60 44 84
5 80 74 80
6 100 120 160
7 120 130 200
8 140 120 180
9 160 140 130
10 180 120 130
11 200 90 140
12 220 90 130
13 240 100 140
14 260 100 130
15 280 100 140
16 300 90 110
17 320 90 100
lxi
Table 2.6: Field Data for EM Traverse 6 (Tsekyor)
STATION NO STATION
INTERVAL (m)
HORIZONTAL Coil,
Hc, (mS/m)
VERTICAL Coil,
Vc,(mS/m)
1 0 180 230
2 20 200 150
3 40 150 180
4 60 130 160
5 80 140 140
6 100 160 160
7 120 150 230
8 140 160 230
9 160 170 220
10 180 190 200
11 200 180 210
12 220 160 220
13 240 150 210
14 260 160 240
15 280 180 270
16 300 190 270
17 320 210 300
18 340 280 340
19 360 280 330
20 380 380 360
21 400 290 370
lxii
22 420 210 390
23 440 200 360
24 460 200 300
25 480 200 260
26 500 260 300
27 520 290 360
Table 2.7: Field Data for EM Traverse 7 (Amaafu)
STATION NO STATION
INTERVAL (m)
HORIZONTAL Coil,
Hc (mS/m)
VERTICAL Coil, Vc
(mS/m)
1 0 18 19
2 20 16 18
3 40 18 17
4 60 15 21
5 80 15 20
6 100 15 23
7 120 18 11
8 140 18 19
9 160 17 21
10 180 16 15
11 200 15 15
12 220 13 13
13 240 14 15
14 260 13 17
Table 2.8: Field Data for EM Traverse 8 (Amaafu)
STATION NO STATION
INTERVAL(m)
HORIZONTAL Coil,
Hc,(mS/m)
VERTICAL Coil, Vc,
(mS/m)
1 0 12 16
2 20 14 18
3 40 20 14
4 60 20 16
5 80 15 18
6 100 15 19
7 120 16 18
8 140 14 17
9 160 13 17
10 180 15 19
11 200 15 15
12 220 15 16
lxiii
Table 2.9: VES Field Data for Depoor
ST
N
A/B
2(m)
M
N/
2
(m
)
G R1
(Ω)
R2
(Ω)
R3
(Ω)
R4
(Ω)
ρa1(Ωm) ρa2(Ωm)) ρa3(Ωm) ρa4(Ωm)
1 1 0.2 7.855 310 800 104.2 265 2435.05 6284 818.49 2081.58
2 1.5 17.66 157.9 328 59.5 120.3 2790.69 5796.99 1051.37 2120.40
3 2 31.42 103.2 180.9 39.7 66.2 3242.54 5683.88 1247.37 2080.00
4 2.5 49.09 70.7 103.7 26.9 38.5 3470.66 5090.63 1320.52 1889.97
5 3 70.69 46.0 59.9 20.2 25.1 3252.2 4234.93 1428.14 1774.57
6 4 125.68 19.35 28.0 10.27 11.21 2340.4 3516.80 1289.91 1407.98
7 5 196.38 11.92 13.91 6.18 5.84 2340.79 2731.58 1213.60 1146.83
lxiv
8 6.5 331.87 6.25 6.41 2.68 2.79 2074.19 2127.29 889.41 925.92
9 8 502.72 3.31 3.14 1.598 1.534 1664.00 1579.55 803.35 771.17
10 10 785.5 1.464 1.685 0.799 0.804 1149.97 1323.576 627.61 631.54
11 8 1.5 67.03 19.33 13.19 7.45 9.2 1295.69 884.13 499.37 616.68
12 10 104.73 8.35 6.9 3.69 4.72 874.52 722.66 386.46 494.34
13 13 176.99 2.69 3.09 1.723 1.936 476.10 546.90 304.95 342.65
14 16 268.12 1.088 1.67 0.945 0.975 291.71 447.76 253.37 261.42
15 20 418.73 0.310 0.704 0.509 0.478 129.67 294.93 213.24 200.25
16 25 654.58 0.105 0.29 0.201 0.314 68.73 189.83 131.57 205.54
17 30 942.60 0.068 0.125 0.109 0.157 64.097 117.82 102.74 147.99
18 25 5 196.38 0.392 1.417 0.656 0.839 76.977 278.3 128.82 164.75
19 30 282.78 0.247 0.67 0.361 0.464 69.85 189.46 102.08 131.21
20 40 502.72 0.153 0.246 0.187 0.289 76.92 123.67 94.01 145.29
21 50 785.50 0.112 0.157 0.144 0.209 87.98 123.32 113.11 164.17
22 65 1327.5 0.081 0.146 0.096 0.136 107.53 193.82 127.44 180.54
23 80 2010.88 0.059 0.114 0.117 0.285 118.65 229.24 235.27 170.92
24 100 3142.00 0.038 0.121 0.075 0.061 119.40 380.18 235 191.66
25 130 5309.98 0.035 0.031 0.071 0.055 185.9 164.61 377.00 292.05
26 160 8043.52 0.020 0.07 0.070 _ 160.9 563.05 563.05 _
lxv
Table 2.10: VES Field Data for Imande
STN AB/
2(m)
MN/
2
(m)
G R1(Ω)
R2(Ω)
R3(Ω)
R4(Ω)
ρa1(Ωm) ρa2(Ωm) ρa3(Ωm) ρa4(Ωm)
1 1 0.2 7.855 207.00 248.0 144.2 180.3 1625.985 1948.04 1132.69 1416.26
2 1.5 ,, 17.66 93.00 129.9 76.3 75.0 1643.659 2294.36 1348.50 1325.53
3 2 ,, 31.42 47.2 78.1 44.2 40.9 1483.024 2453.90 1388.76 1285.08
4 2.5 ,, 49.09 25.9 48.3 28.2 25.7 1271.5281 2371.23 1384.34 1261.71
5 3 ,, 70.69 16.940 29.9 19.52 17.25 1197.5733 2113.78 1380.00 1219.49
6 4 ,, 125.68 7.680 13.98 8.77 6.01 965.2224 1757.01 1101.51 755.34
7 5 ,, 196.38 3.870 7.07 4.44 3.46 759.97125 1388.37 871.905 679.46
8 6.5 ,, 331.87 1.874 2.95 1.620 1.631 621.93141 979.03 537.63 541.29
9 8 ,, 502.72 0.910 1.285 0.601 0.904 457.4752 645.995 302.13 454.46
10 10 ,, 785.5 0.386 0.503 0.235 0.465 303.203 395.11 184.59 365.26
11 8 1.5 67.03 5.430 7.42 4.12 5.75 363.969 497.36 276.16 385.42
12 10 ,, 104.73 2.240 2.75 1.608 2.88 234.603 288.02 168.41 301.63
13 13 ,, 176.99 0.764 .0943 0.599 1.276 180.037 166.91 106.02 225.85
14 16 ,, 268.12 0.442 0.560 0.398 0.719 118.508 150.15 106.71 192.77
15 20 ,, 418.73 0.337 0.410 0.295 0.497 141.18053 171.76 123.58 208.21
16 25 ,, 654.58 0.280 0.312 0.230 0.343 183.2833 204.23 150.55 224.52
17 30 ,, 942.60 0.241 0.251 0.176 0.273 227.167 236.60 165.89 257.33
18 25 5 196.38 0.789 1.062 0.815 1.119 154.939 208.55 160.04 219.74
19 30 ,, 282.78 0.655 0.832 0.617 0.913 185.221 235.27 174.48 258.18
20 40 ,, 502.72 0.509 0.610 0.434 0.668 255.88448 306.59 218.18 335.82
21 50 ,, 785.50 0.433 0.493 0.319 0.523 340.122 387.2 250.57 410.82
22 65 ,, 1327.5 0.348 0.356 0.215 0.370 461.968 472.6 285.411 491.17
23 80 ,, 2010.88 0.283 0.287 0.1577 0.264 177.837 180.35 317.11 530.87
24 100 ,, 3142.00 0.2280 0.217 0.1184 0.1761 223.8675 213.07 372.01 553.31
25 130 ,, 5309.98 0.1648 0.1486 0.0951 0.1220 273.464 246.58 504.98 647.82
26 160 ,, 8043.52 0.1210 0.1029 0.762 0.1027 304.1456 258.65 612.92 826.07
lxvi
Table 2.11: VES Field Data for Tsekyor
ST
N
AB/2
(m)
MN/2
(m) G
R1(Ω)
R2(Ω)
R3(Ω)
R4(Ω)
ρa1(Ωm) ρa2(Ωm) ρa3(Ωm) ρa4(Ωm)
1 1 0.2 7.855 126.8 262 192.0 134.5 996.01 2058 1508.16 1056.50
2 1.5 ,, 17.66 58.5 99.0 65.5 45.7 1033.70 1749.33 1157.39 807.52
3 2 ,, 31.42 30.6 49.9 27.6 17.44 961.45 1567.86 867.19 547.96
4 2.5 ,, 49.09 18.86 26.3 12.02 8.15 925.84 1291.07 590.06 400.08
5 3 ,, 70.69 11.95 15.54 5.59 4.28 844.87 1098.68 395.21 302.60
6 4 ,, 125.68 5.61 6.27 1.456 1.421 704.62 787.51 182.90 178.48
7 5 ,, 196.38 3.01 2.86 0.665 0.637 591.09 561.63 130.59 125.09
8 6.5 ,, 331.87 1.258 0.983 0.281 0.279 417.49 326.23 93.26 92.59
9 8 ,, 502.72 0.580 0.449 0.159 0.1736 291.58 225.72 79.93 87.27
10 10 ,, 785.5 0.220 0.1930 0.091 0.0982 172.81 151.60 71.48 77.14
11 8 1.5 67.03 3.07 2.44 1.13 0.975 205.78 163.55 75.74 65.35
12 10 ,, 104.73 1.127 1.007 0…61 0.537 118.03 105.47 63.89 56.24
13 13 ,, 176.99 0.403 .0382 0.338 0.273 71.33 67.61 59.82 48.32
14 16 ,, 268.12 0.229 0.217 0.178 0.160 61.40 58.18 47.73 42.90
15 20 ,, 418.73 0.1306 0.114 0.149 0.100 54.71 47.76 62.42 41.90
16 25 ,, 654.58 0.0815 0.065 0.065 0.061 53.35 42.55 42.55 39.93
17 30 ,, 942.60 0.0630 0.044 0.076 0.047 59.38 41.47 71.64 44.30
18 25 5 196.38 0.283 0.23 0.355 0.197 55.57 45.36 69.71 38.68
19 30 ,, 282.78 0.250 0.138 0.214 0.146 70.60 39.02 60.51 41.29
20 40 ,, 502.72 0.138 0.077 0.177 0.099 69.38 38.71 88.98 49.77
21 50 ,, 785.50 0.105 0.054 0.054 0.083 82.48 42.42 42.42 65.20
22 65 ,, 1327.5 0.072 0.039 0.047 0.060 95.58 51.77 62.39 79.65
23 80 ,, 2010.88 0.06 0.036 0.026 0.052 120.65 72.39 52.28 104.57
24 100 ,, 3142.00 0.04 0.026 0.009 0.043 125.68 81.692 28.28 135.12
25 130 ,, 5309.98 0.03 0.023 0.023 0.034 159.30 122.13 122.13 180.54
26 160 ,, 8043.52 0.02 0.020 0.011 0.024 160.87 160.87 88.48 193.04
lxvii
Table 2.12.1: VES 1 Field Data For Amaafu
STN AB/2(m) MN/2(m) R(Ω) G ρa(Ωm)
1 1 0.2 19.35 7.855 151.994
2 1.6 “ 5.24 20.108 105.4
3 2.4 “ 1.98 45.24 89.58
4 3.2 “ 0.925 80.435 74.40
5 4.4 “ 0.366 152.1 55.66
6 5.8 “ 0.166 264.24 43.86
7 8.0 “ 0.044 502.72 22.12
8 11.0 “ 0.015 950.45 14.26
9 8.0 1.6 0.8 62.84 50.27
10 11 “ 0.322 118.81 38.26
11 16.0 “ 0.151 251.36 37.95
12 22 “ 0.067 475.23 31.84
13 29 “ 0.041 825.76 33.86
14 36 “ 0.024 1272.51 30.54
15 44 “ 0.017 1946.5 33.0
16 56 “ 0.10 3079.16 30.8
17 44 8.0 0.147 380.18 55.9
18 56 “ 0.0952 615.83 58.63
19 74 “ 0.0562 1075.35 60..43
20 96 “ 0.0343 1809.79 62.08
21 130 “ 0.019 3318.73 63.06
22 170 ,, 0.0122 5675.24 69.24
.
lxviii
Table 2.12.2: VES 2 and VES 3 Field Data For Amaafu.
STN AB/2(m) MN/2(m) G R1(Ω) R2(Ω) ρa1(Ωm) ρa2(Ωm)
1 1 0.2 7.855 65.6 58.4 515.29 458.732
2 1.45 ,, 16.5 32.7 31.8 540.04 525.18
3 2.45 ,, 47.15 12.59 14.31 593.61 674.716
4 3.45 ,, 93.494 4.21 5.95 393.6 556.29
5 4.65 ,, 169.84 1.102 1.97 187.17 334.59
6 6.8 ,, 363.22 0.675 1.301 245.17 472.54
7 6.8 1.45 50.10 5.52 9.27 276.54 464.43
8 10 ,, 108.34 0.663 0.719 71.83 77.899
9 14.5 ,, 227.80 o.244 0.245 55.58 55.81
10 21.5 ,, 500.82 0.083 0.108 41.57 54.09
11 31.5 ,, 1075.05 0.042 0.561 45.15 603.10
12 31.5 6.8 229.24 0.175 0.281 40.12 64.43
13 46.5 ,, 499.54 0.941 0.1373 470.1 68.59
14 68 ,, 1068.28 0.437 0.655 466.84 699.7
15 100 ,, 2310.294 0.227 0.313 524.43 723.12
16 100 21.5 730.70 0.104 0.1011 75.99 73.8
lxix
3.4 Practical Limitations and Precautions
In order to obtain good results, accounts were taken of some practical limitations
to both the electromagnetic and resistivity surveys.
The Electromagnetic survey (method) is a versatile and efficient survey technique
but it suffers from several drawbacks. These drawbacks are either caused by economic
sources with a high conductivity such as ore bodies or from non-economic sources which
are not of interest, yet constitute electromagnetic anomalies. Also superficial layers with
high conductivity such as wet clay, wet sand and graphite bearing rocks may screen the
effects of deeper conductors which might be of interest. Though electromagnetic surveys
suffer much from deeper depth of penetration, the depth to the source target, ground
water was reached. Unless natural fields are used, the maximum penetration in
electromagnetic ground surveys is limited to about 500m and only about 50m in airborne
work (Ezema, 2005, Kearey and Brooks, 1991). The quantitative interpretation of
electromagnetic anomalies is complex thus data were interpreted qualitatively.
Furthermore, the precautions and limitations of the geo-electrical survey were not
left behind. One major problem encountered was limited space for electrodes layout. In
many of the sounding locations, traverses were carried out along approximately straight
roads to have more access to enough electrode length space. This not withstanding, in
some areas we were unable to reach up to our desired spread length of about 400m.
Efforts were made to avoid locating the centre of spread at positions where buildings,
farm lands and other structures could limit the space for the field work.
As the presence of buried pipeline cables and other metallic conductors could constitute
electrical noise to the field data, none of the sounding points was located in vicinity of
such conductors. Although it was generally necessary to carry out the electrical resistivity
work when the ground is relatively moist, the survey work was not carried out on the
lxx
days when there were heavy down pour as water logged soil may result to enormously
high conductivity near the ground surface.
To reduce the effect of topography on the resistivity work, the investigations were
done in areas where there are slight or no undulations. Rugged topography was avoided.
This is because there is no topography correction in resistivity survey as in seismic
exploration (Burger, 1992). Well insulated and light weighted wires of very low
resistance were used. Such wires ensure high quality insulation since leakage between the
current circuit and the measuring circuit is one of the primary sources of errors in
resistivity measurement (Keller and Frischknecht, 1966). Low resistant wires are used
because high resistance, especially in the wires connecting the potential electrodes may
significantly affect the measured resistance.
lxxi
CHAPTER FOUR
FIELD DATA PROCESSING AND INTERPRETATION
4.1 Field Data Processing
Processing of the data started in the field while the field work was still in
progress. The electromagnetic data were plotted in arithmetic graph as the peaks
(conductivity anomaly) were used as the spot areas for the VES profile. The horizontal
and vertical coil data (in milli siemens/meter) were plotted on the same scale against the
station intervals (in meters). Also the geometrical factor, G, for the electrode
configuration and the corresponding apparent resistivity, ρa were calculated using
equations (11) and (16) respectively and shown on Tables 2.2- 2.12a:
The longitudinal unit conductance, S, was calculated using model parameter equation
(35) and shown on Table 3.3:
S =
n
i
ihi1
/ (Abiola et al. 2009) ...................(35)
where: hi and ρi are the layer thickness and resistivity of the ith
layer in the section
respectively.
4.1.1 Electromagnetic data processing
The conductivity profiles of the EM data are shown in Figures 3a-10a, the field
gradients; Figures 3b-10b, and the inverted pseudo sections Figures 3c -10c.
lxxii
0 100 200 300 400
-3
-2
-1
0
1
2
3
Fie
ld g
rad
ien
t (m
Sm
-2)
40
80
120
160
Co
nd
uctivity (
mS
m-1)
40
80
120
160
0 100 200 300 400
Distance (m)
20
16
12
8
4
0
De
pth
(m
)
0 100 200 300 400
Distance (m)
VDP
HDP
a = 18.34 7.01 (mSm-1)
a = 50.41 8.29 (mSm-1)
a = 43.32
14.14 (mSm-1)
a = 70.68
8.62 (mSm-1)
VDP
HDP
a = 65.14
15.43 (mSm-1)
a =
36.1
1
± 2
1.6
9 (
mS
m-1
)
NE
NE
NE SW
SW
SW
lxxiii
0 200 400 600
-4
-2
0
2
4
Fie
ld g
rad
ien
t (m
Sm
-2)
20
40
60
80
100
120
140
Co
nd
uctivity (
mS
m-1)
40
80
120
0 200 400 600Distance (m)
VDP
HDP
0 200 400 600Distance (m)
20
16
12
8
4
0
De
pth
(m
)
a = 38.5373
8.9279 (mSm-1)
a = 11.08
4.70 (mSm-1)
a = 44.09
12.37 (mSm-1)
a = 15.55
7.86 (mSm-1)
a = 36.37
7.10 (mSm-1)
a =
8.6
3
3
.51
(mS
m-1
)
a = 47.28
5.10 (mSm-1
)
a =
15.
22
3
.56
(mS
m-1
)
a =
10.
05
1
.45
(mS
m-1
)
a = 39.45
2.66 (mSm-1)
N
N S
S
lxxiv
0 100 200 300 400
-4
-2
0
2
4
Fie
ld g
rad
ien
t (m
Sm
-2)
0
40
80
120
160
200
Co
nd
uct
ivity
(m
Sm
-1)
0
40
80
120
160
200
0 100 200 300 400
Distance (m)
VDP
HDP
0 100 200 300 400
Distance (m)
25
20
15
10
5
0
De
pth
(m
)
a = 69.04
13.65 (mSm-1)
a = 3.53 1.88 (mSm-1)
NE
NE SW
SW
lxxv
Figure(6a) Conductivity profile, (6b) vertical and horizontal dipole field gradient
and (6c) Inverted pseudo section along EM- traverse 4
0 100 200 300 400
-8
-4
0
4
8
Fie
ld g
rad
ien
t (m
Sm
-2)
40
80
120
160
200C
on
du
ctivity (
mS
m-1)
0
40
80
120
160
200
0 100 200 300 400
Distance (m)
VDP
HDP
0 100 200 300 400
Distance (m)
25
20
15
10
5
0
De
pth
(m
)
a = 107.65
20.61 (mSm-1)
a =
13.
86
7
.99
(mS
m-1
)
a = 79.13
31.54 (mSm-1)
a = 69.04
13.65 (mSm-1)
a = 74.25
13.57 (mSm-1)
a =
69.
04
1
3.65
(mS
m-1
)
a = 86.05
21.12 (mSm-1)
a = 7.92
6.98 (mSm-1)
E
E
E W
W
W
lxxvi
Figure(7a) Conductivity profile, (7b) vertical and horizontal dipole field gradient
and (7c) Inverted pseudo section along EM- traverse 5
0
40
80
120
160
200C
on
du
ctivity (
mS
m-1)
0
40
80
120
160
200
VDP
HDP
0 100 200 300 400
Distance (m)
0 100 200 300 400
-4
-2
0
2
4
Fie
ld g
rad
ien
t (m
Sm
-2)
VDP
HDP
0 100 200 300 400
Distance (m)
20
16
12
8
4
0
De
pth
(m
)
a = 33.58
13.09 (mSm-1)
a = 75.0
2.22 (mSm-1)
a = 62.92
1.76 (mSm-1)
a = 30.30
2.24 (mSm-1)a = 49.50
4.49 (mSm-1)
a =
8.4
2
7
.25
(mS
m-1
)
E W
E W
E W
lxxvii Figure(8a) Conductivity profile, (8b) vertical and horizontal dipole field gradient
and (8c) Inverted pseudo section along EM- traverse 6
0 100 200 300 400 500 600
-6
-4
-2
0
2
4
6
Fie
ld g
rad
ien
t (m
Sm
-2)
100
200
300
400
Co
nd
uctivity (
mS
m-1)
100
200
300
400
VDP
HDP
0 100 200 300
Distance (m)
VDP
HDP
0 200 400 600
Distance (m)
40
30
20
10
0
De
pth
(m
)
a = 80.55
22.61 (mSm-1)
a = 100.84
5.76 (mSm-1)
a = 99.13
3.55 (mSm-1)
a = 73.50
24.64 (mSm-1) a = 135.87
23.98 (mSm-1)
a =
150
.41
35.5
3 (m
Sm-1
)
NW SE
NW SE
NW SE
lxxviii
Figure (9a) Conductivity profile, (9b) vertical and horizontal dipole field gradient
and (9c) Inverted pseudo section along EM- traverse 7
0
10
20
30
40
Co
nd
uctivity (
mS
m-1)
0
10
20
30
40
VDP
HDP
0 100 200 300
Distance (m)
0 100 200 300
-0.8
-0.4
0
0.4
0.8
Fie
ld g
rad
ien
t (m
Sm
-2)
0 100 200 300
Distance (m)
10
8
6
4
2
0
De
pth
(m
)
VDP
HDP
a = 14.59
1.60 (mSm-1)
a = 1.03
0.22 (mSm-1)
N S
N S
N S
lxxix
Figure (10a) Conductivity profile, (10b) vertical and horizontal dipole field gradient
and (10c) Inverted pseudo section along EM- traverse 8
0
10
20
30
40
Co
nd
uct
ivity
(m
Sm
-1)
0
10
20
30
40
VDP
HDP
0 100 200 300
Distance (m)
0 50 100 150 200 250
-0.4
-0.2
0
0.2
0.4
Fie
ld g
rad
ien
t (m
Sm
-2)
0 50 100 150 200 250
Distance (m)
10
8
6
4
2
0
De
pth
(m
)
VDP
HDP
a = 1.17
0.42 (mSm-1)
a = 15.39
2.78 (mSm-1)
NE NW
NE NW
NE NW
lxxx
4.1.2 Electrical resistivity data processing
The resistivity data were interpreted both qualitatively and quantitatively using
computer based interpretative modelling. The field results were improved upon by
employing an interactive (iterative) computer programme. Finally the interpretation of
the geo-electric parameters (resistivity and thickness) in terms of subsurface geology and
groundwater conditions of the study area were carried out on the basis of the
supplementary geological and lithological information from the area.
Considering the large number of parameters required in the interpretation of
resistivity field data with several horizontal layers, computer based programs had been
designed for easier and more efficient results. In the computer based interacting
modeling, the field data is input into the computer and the computer theoretically
calculated curves are modified by trial and error until a very close match is attained
between the calculated, and the observed resistivity curves (Koefoed, 1979). The
computer displays the resistivity and layer thickness of the model which was adjusted to
approximate or fit the field observations. There are different types of computer soft wares
application that can be used in the interpretation of VES data. These include
DCSCTHUM, Resound, Offix, Applet, IPI2 WIN and so on.
The program used in the interpretation of the VES data is WINRESIST™
(Vander Velpen, 2004). Consequently, the interpreted geo-electric parameters and the
lithologic logs from the boreholes close to the area of study provided valid inferred
lithological and hydro-geological information about the study area. In view of this,
SURFER 8 program was used to provide the iso-pach, iso-resistivity, conductance, and
groundwater potential maps, as the imaging pictures of the subsurface in the form of
contour maps. The field curves generated by the interpreted vertical electrical sounding
data are shown on Figures 12.1-12.15, while the VES summary is given in Table 3.1. The
lxxxi
summary of the geo electric parameters and the geological type curve models are shown
on Table 3.2.
Fig. 12.1: VES 1 curve
xc
Table 3.1: VES Summary
VES no. Layer no. Resistivity
(Ωm)
Thickness
(m)
Depth (m) Inferred
lithology
Comment
1 1 2177 0.6 0.6 Topsoil
2 3816 2.5 3.1 Dry sand
3 751 3.0 6.1 Sandy clay
4 52 32 38.1 Weathered
layer
Aquifer
5 823 - - Fractured
bedrock
Aquifer
2 1 6137 2.1 2.1 Topsoil
2 886 7.2 7.2 Sandy clay
3 58 18.5 27.9 Weathered
layer
Aquifer
4 1754 - - Bedrock
3 1 760 0.5 0.5 Topsoil
2 1577 2.3 2.8 Dry sand
3 461 6.0 6.8 Sandy clay
4 45 16.4 25.2 Weathered
layer
Aquifer
5 4549 - - Bedrock
4 1 2103 2.6 2.6 Topsoil
2 358 8.3 10.9 Sandy clay
3 77 25.0 35.9 Weathered
layer
Aquifer
4 1001 - - Fractured
bedrock
Aquifer
5 1 1650 1.7 1.7 Topsoil
2 620 2.6 4.3 Sandy clay
3 85 10.5 14.8 Weathered
layer
Aquifer
4 3160 - - Bedrock
6 1 2489 2.6 2.6 Topsoil
2 296 2.8 5.4 Sandy clay
3 53 5.3 10.7 Weathered
layer
Aquifer
4 1978 - - Bedrock
7 1 1507 2.5 2.5 Topsoil
2 205 2.0 4.5 Sandy clay
3 52 8.0 12.5 Weathered Aquifer
xci
layer
4 1167 - - Bedrock
8 1 1445 1.9 1.9 Topsoil
2 401 4.1 6.0 Sandy clay
3 83 6.9 12.9 Weathered
layer
Aquifer
4 1215 - - Bedrock
9 1 1069 2.2 2.2 Topsoil
2 300 2.0 4.2 Sandy clay
3 46 29.2 33.4 Weathered
layer
Aquifer
4 751 - - Fractured
bedrock
Aquifer
10 1 1950 1.7 1.7 Topsoil
2 176 4.5 6.2 Clayey
sand
3 31 32.8 39 Weathered
layer
Aquifer
4 1802 - - Bedrock
11 1 1537 1.2 1.2 Topsoil
2 60 18.9 20.1 Weathered
layer
Aquifer
3 184 - - Fractured
bedrock
Aquifer
12 1 1212 0.9 0.9 Topsoil
2 138 3.0 3.9 Clayey
sand
3 35 25.2 29.1 Weathered
layer
Aquifer
4 1570 - - Bedrock
13 1 323 0.3 0.3 Topsoil
2 103 1.6 1.9 Clayey
sand
3 29 19.4 21.3 Weathered
layer
Aquifer
4 109 - - Fractured
bedrock
Aquifer
14 1 509 3.4 3.4 Topsoil
2 41 10.3 13.7 Weathered
layer
Aquifer
3 4429 - - Bedrock
15 1 527 2.9 2.9 Topsoil
2 28 8.8 11.7 Weathered
layer
Aquifer
3 3444 - - Bedrock
xcii
Table 3.2: Summary of the geo- electric parameters and model theoretical resistivity
curve types over the study area.
Geo-
electric
earth
layer
model
type
Curve
Type
VES
Num
Layer
Resistivity
(Ohm-m)
Layer
Thickness
(m)
No. of
occurre-
nce
Percent. of
occurrence.
(%)
Layer Resistivity
Range (Ohm-m)
Thickness
Range (m)
3-Layer H
H
H
11
14
15
1537,60,184
509,41,4429
527,28,3444
1.2,18.9
3.4,10.3
2.9,8.8
3 20 1
2
3
509-1537
28-60
184-4429
1.2-3.4
8.8-18.9
∞
4-Layer H
H
H
H
H
H
H
H
2
4
5
6
7
8
9
10
6137,886,58,1754
2103,358,77,1001
1650,620,85,3160
2489,296,53,1978
1507,205,52,1167
1445,401,83,1215
1069,300,46,751
1950,176,31,1802
2.1,7.2,18.5
2.6,8.3,25.0
1.7,2.6,10.5
2.6,2.8,5.3
2.5,2.0,8.0
1.9,4.1,6.9
2.2,2.0,29.2
1.7,4.5,32.8
10 66.7 1
2
3
4
323-6137
103-886
29-85
109-3160
0.3-2.6
1.6-8.2
5.3-32.8
∞
xciii
H
H
12
13
1212,138,35,1570
323,103,29,109
0.9,3.0,25.2
0.3,1.6,19.4
5-Layer KH
KH
1
3
2177,3816,751,52,823
760,1577,461,45,4549
0.6,2.5,3.0,3.2
0.5,2.3,6.0,16.4
2 13.3 1
2
3
4
5
760-2177
1577-3816
461-751
45-52
823-4549
0.5-0.6
2.3-2.5
3.0-6.0
3.2-16.4
∞
Table 3.3 Aquifer parameters of the sounding locations
Bulk rest. Aquifer resist. Aquifer Trans. Long.
(ohm-m)ρh (ohm-m)ρa thick (m) resist.Rt cond. (mS/m)
7619 52 32 1664 0.62031003405
8835 58 18.5 1073 0.3274341147712
7392 45 16.4 738 0.3795859889978
3539 77 25.0 1925 0.349096011294
5515 85 10.5 829.5 0.12875326321
4816 53 5.3 280.9 0.110504055682
2931 52 8 416 0.165261176378
3144 83 6.9 572.7 0.094671847913
2166 46 29.2 1343.2 0.643507173496
3959 31 32.8 1016.8 1.08371987743621
1781 60 18.9 1134 0.3157807417046
2955 35 25.2 882 0.7424817046874
564 29 19.4 562.6 0.6854282903497
4979 41 10.3 422.3 0.257899276444
3999 28 8.8 246.4 0.3197885606
xcv
4.2 Interpretation of field data
4.2.1 Analysis of EM Profiles
The plots of horizontal and vertical coils measured in the field are presented as
conductivity profiles Figs. 3a-10a, the horizontal and vertical dipole field gradients as
Figs. 3b-10b, and the corresponding inverted pseudo-sections along the traverses are
presented in Figs.3c-10c respectively. The EM anomalies vary significantly; some are
sharp while others are broad (Omosuyi et al. 2008). Zones with peak inflection on the
vertical dipole are inferred conductive, typical of water–filled zones and /or fractures
(Ugwu and Nwosu, 2009), or effect of appreciable weathering.
Figure 3a shows the conductivity profile along EMT1 conducted NE-SW of
Depoor. There are several positive peaks that could be mapped as conductive bodies
(fractures and/or weathered zone): for example at a distance of about 340m- 360m with a
conductivity of 140mSm,-1
also at about 140m-180m with a conductivity of about
94mSm-1
. At these similar conductivity patterns, the locations were further investigated
by conducting two vertical electrical soundings (VES) at each location: VES1 and VES 2
respectively. This was done to determine the possible depth to the aquifer layer and the
bed rock for which information was not provided with the EM34-3. Figure 3b shows the
corresponding field gradient. This section is in agreement with the observations on Fig.3a
such that the points of inflexion at about 320m-350m and 130m-140m agree with the
locations of VES1and 2 respectively. From the field gradient, the conductivity at these
(inflexion) points is relatively high and presumed to be a contact zone which may act as a
suitable aquifer (MacDonald et al. 2005). This was confirmed from the geo-electric
section AA1 which runs along the same axis with fractured and fairly thick weathered
layer at VES 1. On the contrary, between the distance of about 140m-260m, the
conductivity values didn’t change much depicting that the rock was not generally
fractured (Ugwu and Nwosu, 2009) or a linear conductor, (McNeill, 1980b). Figure 3c
shows the corresponding pseudo-section of the traverse which provides the pictorial or
diagnostic information about current with depth. The inverted conductivity values are
shown with the most conductive layers having a high value of about 50.41mSm-1
-
70.68mSm-1
at a maximum depth of about 12m which could probably be a
xcvi
fractured/weathered layer. At conductivity of 18.34mSm-1
-36mSm-1
which is lower is
suspected to be fairly weathered zone.
Figure 4a shows the conductivity profile along the second traverse, EMT2 N-S of
(Depoor). There are several positive peaks that could be mapped as fractured or
weathered zones for example at a distance of about 200 and 240m and at about 300m on
the profile. These points could be assumed as zones of interest in groundwater
abstraction. Consequently, VES 3 and 4 were conducted along the traverse. Figure 4b
shows the corresponding field gradient of the traverse. Different zones of varying degree
of conductivity were delineated on the section; for instance between the distance of about
200-220m and about 380m, a conductive body was identified which was shown on the
conductivity profile. Fig 4c shows the corresponding pseudo-section of the profile. The
inverted conductivity values are shown with the most conductive area having a
conductivity of over 44.09mSm-1
at 200-220m at the upper layer and least conductivity of
about 10.05mS/m at a distance of over 400m indicating a resistive zone.
Figure 5a: shows the conductivity profile along EM traverse three (EMT3)
conducted at Imande. The traverse which runs across NE-SW of the area displays
appreciable variations in conductivity except at a distance of about 60m-80m where there
is observable peak of about 90mS/m-100mS/m which could be as a result of weathering.
Consequently VES 5 was conducted to ascertain the possible depth as well infer the
lithology. Also at a distance of about 290-320m along the profile with a broad anomaly,
another depth sounding (VES 6) was carried out. Figure 5b is the corresponding field
gradient of the traverse. From the plot, little observable changes in conductivity at about
60m and 90m respectively were of appreciable conductivity, depicting target zones (VES
5 and 6) respectively. Subsequently, the pseudo-section along the traverse (Fig. 5c)
revealed that there could be a conductive zone in the upper part of the subsurface with
conductivity of about 69.04mS/m depicting a weathered zone and at lower depth with
conductivity of about 3.53mS/m which is suggestive of resistive zone (bedrock).
Conductivity profile, (Fig. 6a), of EMT4 conducted E-W of Imande shows that the
anomaly is at about 60m and 200m. This is presumed to be a conductive zone which was
investigated with depth sounding. In view of this VES7 and 8 were carried out at a
distance of about 60m and 200m respectively to simulate the thickness of the underlying
xcvii
layers and their corresponding resistivity values as the instrument (EM34-3) was not
designed for detailed sounding. The corresponding field gradient, Figure 6b shows an
inflexion point between the vertical and horizontal coil readings at about 60m and 180-
200m respectively. From about 220m to 360m shows a conductor with appreciable
constant low conductivity which is indicative of less conductive layer with similar
characteristics. The pseudo-section along the traverse (Fig.6c) indicates a high
conductivity at these inflection points.
The conductivity profile along EM traverse-5 (Fig. 7a) which runs along E-W of the
study area shows a peak conductivity anomaly at a distance of about 120m and abroad
anomaly at about 200-280m. On this account VES 9 and 10 were conducted along the
profile and VES 9 with peak inflection, typical of water–filled zone and/or fracture
(Ugwu and Nwosu, 2009), or effect of appreciable weathering was confirmed with depth
sounding. Figures 7b and 7c showed similar inference.
The EM profile along traverse 6 (Fig. 8a) shows a broad anomaly at a distance of
about 60-80m, and a peak inflection at about 200-220m. These points were designated
VES 12 and 11 respectively. The depth sounding conducted at these points showed a
fractured zone within VES 11. The field gradient and the pseudo-section along this
profile proved the VES results.
Along N-S of the study area, EM traverse7 (Fig.9a) was conducted on the area.
EM anomaly was inferred at a distance of about 100m and 160m. These points were
designated VES 13 and 14 respectively. The depth sounding conducted along the profile
indicated a zone of appreciable low resistance suspected to be water bearing.
Figure 10a shows the EM traverse 8 along NE-NW direction of the study area.
The profile showed that the conductivity values at about 100-240m didn’t change much
depicting that the rock was not generally fractured, which McNeill, 1980b described as a
linear conductor. VES 15 was conducted at this point to ascertain the lithology and
possibly the depth to the aquifer unit.
Based on the interpreted EM profiles the points of interest designated as VES 1-
15 were further investigated with VES, as VES is used to assess the suitability of the
features because, a variety of subsurface conditions can give rise to similar EM34-3 data
xcviii
and also to predict depth to bed rock which is an important factor in cost control (Beeson
and Jones, 1988).
4.2.2 Analysis of electrical resistivity results
4.2.2.1 Resistivity sounding curves.
The resistivity sounding curves obtained from the surveyed area vary from 3, 4
layer (H type) or 5-layer (KH) as shown in Figures 11.1-11.15. The H-type curve with
about 86.7% of occurrence and KH-type curve with about 13.3% of occurrence were
deduced from the area. Worthington (1977) showed that field curves often mirror image
geo-electrically the nature of the successive lithologic sequence in an area and hence can
be used qualitatively to asses the groundwater prospect of an area. The H and KH curves
which are often associated with groundwater possibilities (Omosuyi, 2010) are pertinent
to the study area. The geo-electric parameters of the lithologic units were delineated from
the interpreted sounding curves.
4.2.2.2 Geo-electric characterization and lithologic delineation
Electrical resistivity methods primarily reflect variations in ground resistivity
(Omosuyi et al. 2008). These variations in ground resistivity exist across lithologic
interfaces or geo-electric boundaries in the subsurface. Their disparity is the yardstick on
which the aquiferous and non aquiferous units can hence be delineated. The 2
dimensional view of the geo-electric parameters (resistivity and thickness) obtained from
the inversion of the electrical resistivity sounding data were used to adjudge the
aquiferous or non aquiferous layers and reliable geological deductions. The geo-electric
sections (Figures12.1-12.6) of the various VES stations in the study area were created to
indicate the various geo-electric layers, their thicknesses within the depths penetrated
with their characteristics resistivity values and probable geo-electric connotations. The
profiles were taken along the NE-SW; (AA1, BB
1), NW-SE; (CC
1, DD
1, EE
1) and NNE-
SSW (FF1) directions.
The geo-electric section AA1 which runs across NE-SW direction of the study
area is made up of data from VES 1, 2, 3, 9 and 10 (Fig. 12.1). The interpretative cross
section AA1 shows four geo-electric layers in VES 2, 9 and 10 and five layers in VES 1
and 3. The topsoil which is relatively thin is characterized by resistivity values ranging
from 760 ohm-m to 2177ohm-meter with a thickness that varies from 0.5m to 2.2m, and
xcix
is composed of predominantly laterite, and clay towards the northeastern part. The second
layer has resistivity values that vary from 1577-6137ohm-m at the northeastern part and
terminated in VES 9 and 10. The next layer with resistivity range of 176-886 ohm-m and
a thickness between 2.0m- 7.2m is presumed to be sandy-clay. It is predominantly wet.
The third layer which is probably conductive and reflects the layer identified as the
aquifer unit characterized by resistivity values between 31 ohm-m and 58 ohm-m with
thickness values of 16.4m−32.8m is diagnostic of extensive weathered bedrock which is
in agreement with Ajayi and Hassan (1990), Oyedele and Adeyemo (2001) who are of
the view that the decomposed basement with resistivity of 20-1000ohm-m and thickness
of 14-28m forms the aquifer which are subject to groundwater development. The last
layer with resistivity values that vary from 751-4549 ohm-m with infinite thickness is
suggestive of fractured or fresh basement respectively.
c
The interpretive geo-electric section BB1 across NE-SW direction
is made up of
data from VES 4, 14 and 15 (Fig. 12.2) .The geo-electric section shows three/four geo-
electric layers, but three distinct lithologic layers. The topsoil along the section has
resistivity values ranging from 509ohm-m to 2310ohm-m characteristic of laterite at the
southwestern part and lateritic clay at the northeastern part. The second geo-electric layer
which is conductive and recognized as the aquifer layer with unit resistivity values
between 28ohm-m to over 358ohm-m with thickness range of 8.3-11.7m is the presumed
weathered layer. The basal unit with resistivity values ranging from 77- 4429ohm-m is
identified as the fractured bedrock at VES 4 which could be another aquifer unit and
fresh bedrock at VES14 and 15 along the section.
The geo-electric section CC1 across NW-SE direction (Fig.12.3) is made up of
data from VES 5, 7 and 14. The cross section shows three to four geo-electric layers. The
topsoil has resistivity value ranging from 509ohm-m to 1650ohm-m with thickness
varying from 1.7m-3.4m characteristic of lateritic sand at the southeastern part and
ci
sandy-clay at VES14. Beneath the topsoil layer towards the southeastern part, the
relatively low resistivity value of 205ohm-m observed under the topsoil which does not
extend to VES 14 is characteristic of clayey-sand. The next layer which is recognized as
the aquifer layer with resistivity range of 41ohm-m – 85 ohm-m with thickness of 8.0m-
10.5m is the presumed weathered layer. The underlying bedrock is characterized by
resistivity values ranging from 1167ohm-m to 4429 ohm-m.
ciii
Across DD1, four/five geo-electric layers underlie the southeast-northwest flank
of the study area, (Fig.12.4). The geo-electric section is made up of VES 1, 7 and 8. The
top soil thickness is relatively thin along this profile and ranges between 0.6-2.5m while
the resistivity values range between 1445 and 2177 ohm-m, which indicate that the
predominant composition of the layer is laterite. The second layer has resistivity value of
3186ohm-m at VES1 and diminished towards the southeastern part of the profile. The
third layer that varies in resistivity from 205ohm-m to 751ohm-m with thickness values
that varies from 2.0-4.1m is diagnostic of sandy-clay. Below this layer is a very low
resistivity layer suspected to be the aquifer unit with resistivity values between 52ohm-m
and 83ohm-m with a thickness value ranging from 6.9m to 32m which indicates high
degree of weathering. The basal unit of resistivity value 823ohm-m to 1215ohm-m is
suggestive of fractured and probably fairly fractured bedrock respectively.
The interpretive cross section EE1, southeast-northwest direction (Fig12.5) is underlain
by four geo-electric layers at VES 6 and 13 and three geo-electric layers at VES 15. The
topsoil which has a resistivity value of 2489 at VES 6 and absent in VES15 and forms a
very thin layer in VES 13 with a resistivity value of 323 is lateritic and clayey
respectively. Beneath this layer, a relatively low resistivity values ranging from 103ohm-
m - 296ohm-m is characteristic of sandy-clay. The underlying layer recognized as the
aquifer layer with unit resistivity values between 28ohm-m to 53ohm-m is the presumed
weathered layer. The bedrock which is fractured at VES 13 with unit resistivity of 109
ohm-m and 1978ohm-m and 3444ohm-m at VES 6 and 15 respectively forms the basal
layer unit along the profile.
cv
Cross section FF1 which is SSW-NNE direction of the study area (Fig12.6) also
shows four geo-electric layers at VES 10 and 12 except at VES11 where three layers
were obtained. The topsoil has resistivity values ranging from 1212-1950 ohm-m with
thickness of 0.9-1.7m which is lateritic. The second layer has resistivity values from
138ohm-m-176 ohm-m at the north-northeast of the profile which was not observed in
VES11. The third layer recognized as the aquifer layer with unit resistivity values
between 31ohm-m and 60ohm-m is the presumed highly weathered layer. The basal unit
with resistivity value of 184ohm-m is identified as the fractured bedrock at VES11, while
VES12 and 10 with resistivity values of 1570ohm-m and 1802ohm-m respectively is the
fresh basement. The six geo-electric sections presented in Figs.12.1-12.6 show high
variations of resistivity values which might be as a result of the geology and degree of
weathering.
A borehole outside the project area; at Kasar but located in a similar geologic setting
yielded the following information (Daagu, personal communication).
Table 4.1: Borehole data from Kasar
Static water level 3.0m
Dynamic water level 6.0m
Yield 140.00 litres per minute
The borehole lithology was as follows (depth in meters):
0-1 Laterite,
1-3 Lateritc clay
3-6 Sandy clay
6-11 Micacious clay
11-17 Weathered crystalline basement
17-18 Fresh basement
The close correlation between the geological interpretation of the sounding data and the
borehole lithology (Table 4.1) gave enough confidence on the reliability of the results.
Thus the six geo-electric sections compare well with the geology of the area and as well
the lithologic log close to the area.
4.2.2.3. Hydro-geological zoning
cvi
Electrical resistivity depth sounding is useful in locating areas of maximum
aquifer thickness and serves as a good predictive tool for estimation of borehole depth
(Omosuyi, 2010). Ameloko and Rotimi, (2010), Lenkey et al. (2005) took the advantage
of VES to infer that the large thickest weathered materials overlying the basement rocks
constitute the main water bearing layer (the aquifer). To zone the area into groundwater
prospects, the ideas of Ameloko and Rotimi, (2010), Lenkey et al. (2005), and Omosuyi
et al. (2008) were adopted. Several maps were produced using SURFER8 program to
monitor the trend of resistivity, thickness and conductance variation with a view of
assessing the sub-surface lithology suitable for low, intermediate or high groundwater
potentials. Due to the heterogeneous nature of the basement areas, the aforementioned
parameters vary constantly, hence the need for hydro-geological zoning (Omosuyi et al.
2008).
4.2.2.3.1 Isopach, iso-resistivity and longitudinal conductance maps
Based on visual examination of the 2-D geo-electric earth parameters; several
maps: Figures 13.1-13.3 were generated. Figure 13.1(a) shows the isopach map
distribution of the main aquifer unit (weathered layer) that varies from 5.3m to 32.8m.
Based on the weathered layer thickness, the central (Depoor), and south western
(Tsekyor) parts of the area can probably support intermediate-high groundwater
potentials where as the southeastern part (Imande) and a patch of northeastern areas show
an indication of low – intermediate groundwater potential. With regards to significant
role played by thickness in groundwater abstraction (Adiat et al. 2009; Omosuyi et al.
2008) areas characterized by thickness between 10.6 – 32.8m were accorded more
preference in groundwater development.
Figure 13.1(b) is the iso-resistivity map of the layer considered as the main
aquifer in the area. The resistivity value of the layer lies between 28 ohm-m and 83 ohm-
m while the most frequently occurring resistivity values are between 41 ohm-m and 58
ohm-m; typical of clay which may be constantly saturated but poorly permeable to the
interstitial formation water for abstraction (Abiola et al.2009).
Although aquifer thickness alone cannot be considered as the yardstick for
groundwater prospect evaluation, resistivity and lithology amongst others are relevant
considerations. In this study, a correlation between the borehole data close to the area and
cvii
the VES interpretation showed that the weathered layer directly overlying the basement
(bedrock) or fractured bedrock constitute the aquifer unit. This is in agreement with
Ajayi and Hassan (1990) who are of the view that the weathered basement is associated
with low to medium resistivity values suggestive of materials of most likely slight clayey
and/or saturated with water.
Fig.14.1a.Isopach map of the aquifer unit in the area
cviii
Consequently, the longitudinal unit conductance map of the study area (Figure
13.2(b)) was generated from the data calculated from the model parameter S =
n
i
ihi1
/
and shown in Table 3.3 for all the VES locations. The longitudinal unit conductance, S
values obtained from the study area ranged from 0.0947 to 1.083mhos.
From the map (Fig.13.2), the northern and a patch of southwestern region have
over 0.5 mhom. The southeastern and southern parts have conductance values lower than
0.5mhoms which correlates well with the groundwater potential map (Fig.13.3). This is
because the earth medium acts as a conductor especially when it contains fluid. Its ability
to conduct current is a measure of its conductance capacity and invariable its resistive
capacity as well.
4.2.2.3.2 Groundwater potential evaluation
At large the groundwater evaluation of Katsina Ala is based on various categories
of maps: iso-pach and iso resistivity maps of the weathered layer (aquifer), and the
longitudinal unit conductance map of the aquifer unit in preparing the groundwater
Figure 14.1(b): Iso-resistivity map of the aquifer unit in the
area study area
cix
potential map of the area as deduced from the geo-electric parameters (resistivity and
thickness) and longitudinal conductance obtained from interpreted VES results. The
groundwater potential map shown in Figure 13.3 was used to classify the study area into
high, intermediate, and low groundwater potential zones. In view of groundwater
abstraction, areas with intermediate to high notation are accorded more preference to well
development.
cxi
VES 1
VES 2VES 3
VES 4
VES 5
VES 6VES 7
VES 8
VES 9VES 10
VES 11
VES 12
VES 13
VES 14
VES 15
Tsekyor
Amande
Imande
Tsendele
Gurugu
Zem
KumeDepoor
Yokosi
Amaafu
Amaafu
0 0.6 1.2 1.8 2.4 3 km
A
A1
B
B1
C
C1
D
D1
E
E1
F
F1
9 30 EO '
9 30 EO '
7 20 NO ' 7 20 N
O '
7 15 NO '7 15 N
O '
EMT-1
EMT-6
EMT-5
EMT-4
EMT-3
EMT-2
EMT-7
EMT-8
9 22 30 EO ' ''
9 22 30 EO ' ''
EMT-1
A A1
VES 10
Zem Towns
EM Traverse
Geoelectric Cross Section
VES Locations
Stream
Road
Eze Aku Shale Group
Basement Rock(Quazite and Silicified Rocks)
Low
Intermediate
High
Ground water potential
Figure 14.3: Groundwater potential map of the study area
cxii
CHAPTER FIVE
CONCLUSIONS AND RECOMMENDATIONS
5.1 Conclusions
The geophysical methods: Very Low Frequency Electromagnetic, (VLF-EM) and
Electrical Resistivity (ER) were used in this study to investigate the groundwater
potentials of some selected areas in Katsina-Ala L.G.A, Benue State, Nigeria. A total of
eight (8) electromagnetic traverses and fifteen (15) vertical electrical soundings (VES)
employing Schlumberger array configuration with current electrode spacing, AB of 200-
340m.
The data acquired and analyzed from the study are geophysical, geological and
global positioning system (GPS) data. The GPS values were used to locate the EM and
VES points on the map of the study area. The geophysical data were derived from both
eight EM traverses and fifteen VES points systematically distributed over the area.
The EM data were analyzed qualitatively by plotting conductivity profiles,
gradients and pseudo-sections of both the horizontal and vertical coil orientations; while
the sounding data were analyzed both qualitatively and quantitatively by using Win-
Resist version of computer iterative inverse modeling of Vander Valpen, (2004).
The interpreted electromagnetic data identified zones of high conductivity which
could be fractures and/or weathered zones, and were considered as priority areas for
vertical electrical sounding.
The interpreted VES data results also revealed one to two earth curve model
(type) which varied from simple three layer H type to the complex four or five layers
models KH type curves. Type H and KH curves which are often associated with
groundwater possibilities (Omosuyi, 2010) are pertinent in the area. The H type curve
which is commonly obtained in a basement complex area, (Nur and Afa, 2002; Keller and
Freschneit, 1986) constituted about 83.7% of occurrence in the area.
Furthermore, the geo-electric parameters (resistivity and thickness) obtained from
the inverted vertical electrical resistivity sounding data were used to delineate the aquifer
types of the area as: weathered bedrock and fractured bedrock aquifer types, which are in
agreement with Nur and Afa (2002) who are of the opinion that the weathered and/or
cxiii
fractured rocks in the crystalline basement areas are the only places where water could be
found in the dry seasons.
The geo-electric parameters (resistivity and thickness) obtained from the
interpreted vertical electrical sounding data was used to generate geo-electric sections
and contoured maps: conductance, iso-pach and iso resistivity maps which were analyzed
in terms of hydro-geologic importance of the area. The geo-electric sections showed
three-five geo-electric layers but three lithologic (geologic layers) which were interpreted
based on the geologic data gotten from the lithological logs of drilled boreholes by Benue
State Rural Water Supply and Sanitation Agency (BERWASSA) Markurdi; Benue State.
A correlation between the borehole lithology of Kasar and VES results provided the basis
for the inferred lithology from the geo-electric sections. From the comparison of both
data, the first layer with apparent resistivity range of 509-6137ohm-m which is entirely
lateritic/lateritic clay is underlain by a weathered (aquiferous) layer with varying
resistivity of 28-184ohm-m. The third layer with resistivity between751-4549ohm-m is
the fractured/fresh basement.
Consequently, the maps were used to categorize the study area into three hydric
zones: high, intermediate and low groundwater potentials. The yield capacity of the
weathered layer constituting the main aquifer unit will not only depend on the thickness
but also on the quantity of clay.
5.2 Recommendations
The geophysical surveys carried out in the selected study areas revealed that the
areas could play a significant role in groundwater resource development. In Depoor at
VES 1 within a depth of about 6.1m-39m, and VES 4 within a depth of about 10m – 40m
groundwater could be abstracted. At Tsekyor, groundwater of reasonable quantity can be
developed at VES 10 and 12 within the depths of about 6m-40m. At Amaafu VES 13,
groundwater could be developed within a depth of about 21m.
It is however recommended that more sophisticated instruments such as depth
probing EM instrument (ABEM WADI VLF instrument) which detects fractures, depth
to the conductive zones and its dip, bedrock relief features such as basement troughs
which are of significant hydro-geologic importance (Adiat et al. 2009) could be used for
the EM while SAS 4000/1000 (ABEM LUND IMAGING SYSTEM) for VES could be
cxiv
used for data of better quality which can provide a better resolution of the geologic
situation at depth (ABEM Instruction Manual, 2009).
Also the use of 2-D electrical imaging which is a powerful technique in the study
of subsurface geology (Ameloko and Rotimi, 2010) and bedrock geometry such as down
warping, faulting structures could be used to give a better resolution of hydro-geologic
structures.
For a better and more accurate results, a more sophisticated and effective
geophysical method such as remote sensing (Offodile, 2003), a combination of electrical
imaging and seismic tomography which gives a more accurate result on the layering and
the depths of lithology is recommended.
Nonetheless, this work is worthy of continued research.
cxv
REFERENCES
Abem Instruments (2009). Instructional Manual for ABEM Terrameter SAS
1000/SAS4000. http://www.abem.se. p. 148.
Abiola, O., Enikanselu, P.A., and Oladapo, M. I., (2009). Groundwater potential and
aquifer protective capacity of overburden units in Ado-Ekiti, southwestern
Nigeria. International Journal of Physical Sciences. Vol. 4 (3), pp. 120-132.
Adelusi, A. O., and Balogun, O., (2001). A geo-electric investigation for groundwater
development of Orita-Obele area near Akure SW Nigeria. Global Journal of Pure
and Applied Sciences. Vol. 7 No.4: 707 – 717.
Adetola, B. A and Igbedi, A. O., (2000). The use of electrical resistivity survey in
location of aquifers: A case study in Agbede South Western Nigeria. Journal of
Nigerian Association of Hydro-geologists, Vol. 11: 7-13.
Adiat, K. A. N, Olayanju, G. M., Omosuyi, G. O., and Ako, B. D., (2009).
Electromagnetic profiling and Electrical Resistivity soundings in groundwater
investigation of a typical basement complex - A case study of Oda town
Southwestern Nigeria. Ozean Journal of Applied Science 2(4), pp. 333-359.
Ajayi, C. O., and Hassan, M., (1990). The delineation of aquifer overlying the Basement
Complex in the Western part of the Kubarni Basin of Zaria: Nigeria. Journal of
Mining and Geology Vol. 26, No.I, pp. 117 – 124.
Alile, M. O, Jegede, S.I. and Ehigiator, O. M., (2008). Underground water exploration
using electrical resistivity method in Edo State, Nigeria. Asian Journal of Earth
Sciences. Vol.1, pp 38-43.
Alkali, S. C., Kamfut, N. M., and Yusuf, A. K.,(1997). A Geo-electrical investigation for
groundwater at Kwasauri, near Kano: Northern Nigeria. Water resources-Journal
of NAH Vol.8 No1, pp. 11-18.
Amadi, U. M. P., and Nurudeen, S. I., (1990). Electromagnetic survey and the search for
groundwater in the Crystalline Basement Complex of Nigeria. Journal of Mining
and Geology Vol.26, No I, pp. 45-53.
Ameloko, A. A, and Rotimi, O. J., (2010). 2- D Electrical Imaging And Its Application In
cxvi
Groundwater Exploration In Part Of Kubanni River Basin-Zaria, Nigeria. World
Rural Observations Vol. 2(2). pp. 72-82.
cxvii
Ariyo, S. O., and Adeyemi, G. O., (2009). Role of Electrical Resistivity Method for
Groundwater Exploration in Hard Rock Areas: A Case Study from
Fidiwo/Ajebo Areas of Southwestern Nigeria. The Pacific Journal of Science and
Technology. Vol. 10. No. 1, pp. 483-486.
Ariyo, S. O., Adeyemi, G. O., and Oyebamiji, A. O, (2009). Electromagnetic VLF survey
for groundwater development in a Contact Terrain: a case study of Ishararemo,
Southwestern Nigeria. Journal of Applied Sciences Research, Vol. 5(a): 1239 –
1246.
Arshad, M., Cheema, J. M. and Ahmed S., (2007). Determination of lithology and
groundwater quality using electrical resistivity survey. Int. J Agric. Biol. Vol.9,
No.1, pp. 143-146. http://www.fspublishers.org
Bayode, S., Ojo, J. S., and Olorunfemi, M. O. (2006). Geo-electric Characterization of
Aquifer types in the Basement Complex Terrain of Parts of Osun State Nigeria.
Global Journal of Pure and Applied Sciences Vol. 12, No3, pp. 377 – 385.
BBC Sci/Tech News (2000). Water arithmetic “doesn’t add up” – Report of the World
Commission on Water for 21ist
Century.
Beeson, S., and Jones, C. R. C. (1988). The combined EMT/VES method for siting
boreholes. GROUNDWATER Vol.26, No1. Pp 54-63.
Bose, R. N., Chattarjee, D. and Sen A. K., (1972). Electrical resistivity surveys for
groundwater in the Auragabad Subdivision, Gaya District Bihir, India. Geo-
exploration, Vol.11, Issues 1-3, 1973, pp 171-181.
Burger, H. R. (1992). Exploration Geophysics of the shallow sub-surface. Prentice Hall,
Inc, Eaglewood Chaff, New Jersey 07632.
Chernicoff and Whitney (2002). An introduction to physical Geology 3rd
ed. Houghton
Mifflin Company New York.
Dessauvagie, T. F. J. (1975). Explanatory notes to the Geological Map of Nigeria.
Journal of Mining and Geology. Vol.9, Nos. I and 2. pp. 3-28.
Dhakate, R., Negi, B. C. and Singh,V. S. (2008). Electrical resistivity survey to delineate
groundwater potential zones in Granite Terrain, Nalgonda District, Idia. Asian
Journal of Water, Environmental and Pollution, Vol.5,No.1 2, 2008.
cxviii
Dobrin, M. B., (1985). Introduction to geophysical prospecting (4th
edition). Mc.Graw
Hill Inc. New York, USA p. 629.
Duffin, W. J., (1979). Electricity and Magnetism.3rd
edition. The English Book Society.
pp. 58-61, 155-156.
Du-Preeze, J. W.,and Barber, W. (1965). The distribution and chemical quality of
groundwater in Northern Nigeria: Geological Survey Bulletin No 36.
Eduvie, M. O. (2002). An hydro-geological geophysical evaluation of groundwater
resources of the Gundumi Formation and around Daura, North Western Nigeria.
Water Resources –Journal of Nigeria Association of Hydro-geologist (NAH),
Vol.13, pp. 46-49.
Egbu, R. N. (2000). A geophysical survey of productive boreholes sites for effective
water planning in Imo State, Nigeria. African Journal of Science and Technology
Vol. 1, No.2 pp. 129-138.
Egwebe, O., Aigbedion, I., and Ifedili, S.O. (2004). A Geo-electric investigation for
groundwater at Ivbiaro Ebesse; Edo State: Nigeria. Journal of Applied Science,
Vol. 22, pp. 146-150.
Evwaraye, A. O., and Mgbenu, E. N., (1993). Electromagnetism and modern physics for
physical sciences. Spectrum Books Ltd. pp. 86-88
Ezema, P. O. (2005). Fundamentals of applied geophysics. Enugu. Rojoint
Communication Services Ltd, Enugu pp. 1-167.
Fitterman, D. V and Deszez–Pan, M. (2003). Estimating water quality along Southwest
Florida Coast for hydrologic models: using Helicopter electromagnetic survey. A
Poster Presented at the greater Everglades Ecosystem Restoration Conference.
Federal Survey Nigeria, (1975). Map Sheet 272 Katsina – Ala.
Geological Survey of Nigeria, (1994). Geologic Map of Nigeria: Published by
Geological Survey Department: Ministry of Petroleum and Mineral Resources
Nigeria.
Grant, F. S and West, G. F. (1965). Interpretation theory in applied geophysics. McGraw
Hill book company pp. 365-443.
Hamill, L. and Bell, F. G. (1986). Groundwater resource development: London.
University Press Cambridge: p. 1 – 344.
cxix
Isife, F. A., Balogun, O., and Adedapo, O, J. (2000). Hydro-geophysical investigation of
the Federal Polytechnic, Ado–Ekiti, Ekiti State, Nigeria. African Journal of
Science and Technology, Vol.1, No. 2, pp. 158-165.
Iyioriobhe, S. E., and Ako., B. D. (1986). The hydrogeology of the Gombe sub
catchments, Benue Valley, Nigeria. Journal of African Earth Sciences Vol. 5, No.
5, pp. 509-518.
Keary, P., and Brooks M. (1991). An introduction to geophysical exploration (2nd
edition).
Oxford .Blackwell Scientific publications, London. p. 254.
Keller, G. V., and Frischknecht, F. C. (1966). Electrical methods in geophysical
prospecting. Pergamon press Oxford. New York. p. 517.
Koefoed, O. (1979). Geo-sounding Principles I, Resistivity sounding measurements.
Elservier. Oxford.
Land, L. A., Lautier, J. C., Wilson, N. C., Chanese, G., and Webb, S. (2004).
Geophysical monitoring and evaluation of coastal plain aquifer: Groundwater,
Vol.42. No1. pp. 59-67.
Lenkey, L., Hamori, Z and Mihalffy, P. (2005). Investigating the hydrogeology of a
water-supply area using direct-current vertical electrical soundings. Geophysics,
Vol.70. No. 4, H1-H19.
Lowrie, W. (1997). Fundamentals of Geophysics. Cambridge University press.pp354.
MacDonald, A., Davies, J., Calow, R., and Chilto, J. (2005). Developing groundwater, A
guide for rural water supply. www.itdgppublishing.org.uk. pp. 1- 358.
MacDonald, A., Davies, J., and Dochartagh, B. E. O. (2002). Simple methods for
assessing groundwater resources in low permeability areas of Africa. British
Geological Survey Commissioned Report, CR/01/168N.
Mamah L. I. (1984). Application of time domain electromagnetic sounding to a rift
system: Nigerian Journal of Mining and Geology Vol. 21 Nos.1 and 2. pp. 151-
155.
Mamah L. I. and Eze, L. C. (1988). Electromagnetic and ground magnetic survey over
zones of lead-zinc mineralization in Wanakom (Cross River State). Journal of
African Earth Sciences, Vol. 7, No.5-6, pp. 749-758.
cxx
McDougal, R. R., Abraham, J. D., and Bisdorf, R. J. (2003). Results of electrical
resistivity data collected near the town of Guernesey, Platte County, Wyoming.
U.S. Geological Survey Open File 2004-1095.
McNeill, J. D. (1980a). Technical Notes: TN-5 - Electrical conductivity of soils a4nd
rocks. Ontario, Canada. pp. 1 – 22.
McNeill, J. D. (1980b). Technical Note: TN-6. Electromagnetic terrain conductivity
measurements at low induction numbers. Ontario. Canada. pp.1-15.
McNeill, J. D. (1983). EM 34-3 Survey interpretation techniques. Technical note: TN-8.
Geonics Ontario. pp. 1-17.
McNeill, J. D. (1994). Technical Note: TN-27: Principles and application of time domain
electromagnetic technique for resistivity sounding. Ontario, Canada. pp. 1-16.
Microsoft Encarata®, (2009). Groundwater, Redmond, W.A Microsoft Corporation.
Mohamed, S. A., and Lee, C. Y. (1985). A resistivity survey for groundwater in Perlis
using offset Wenner technique. Karst Water Resources. IAHS Pub. No.161, 221-
232.
Montgomery, C. W. (1990). Physical Geology 2nd
edition. Wm. C. Brown Publishers
United States of America.
Moonrey, J. and Wicander, R. (2005). Physical Geology exploring the Earth. 5th
edition.
Thomson Learning, Belmon U.S.A.
Nosal, E.A. (1983). Statistical determination of geophysical well log response function.
Geophysics, Vol.48, No.11. pp. 1525-1535.
Nur, A., and Afa, D. E. (2002). Geo-electrical and Hydro-geological investigations in a
part of Adamawa State: Northeastern Nigeria. Water Resources- Journal of
Nigerian Associations of Hydro-geologists (NAH), Vol. 13. pp. 55 – 61.
Nur, A., and Kujir, A. S., (2006). Hydro-geoelectrical study in the northeastern part of
Adamawa State, Nigeria. Journal of Environmental Hydrology Vol. 14. pp1- 7.
Obiakor, I. P. (1984). Resistivity survey for groundwater in Idemili and Anambra local
government areas: Anambra State. An M.Sc thesis presented to the Department of
Physics and Astronomy, University of Nigeria Nsukka.
cxxi
Offodile, M. E. (1976). A review of the geology of the Cretaceous of the Benue valley, In
Geology of Nigeria: Edited by C. A, Kogbe. C.A Elizabeth Publishing Co. pp.
319-330.
Offodile, M. E. (1983). The occurrence and exploitation of groundwater: in Nigerian
Basement rocks. Nigeria Journal of Mining and Geology, Vol. 20 Nos. 1 and 2
pp. 131 – 146.
Offodile, M. E. (2002). Groundwater study and development in Nigeria. Mecon Geology
and Engineering Services Ltd., Jos. pp. 1 - 453.
Ohams, E., Agwunobi and Onuoha, M. K., (1988). Geophysical investigation for
groundwater in hard rock terrain: Experiences from the Fobur area of the Jos
Plateau, Nigeria. Journal of Mining and Geology Vol. 24 Nos. 1 & 2 pp. 45 –
50.
Olaleye, B.M., (2005). Influence of soil structure on borehole depth determination in
Osun State, Nigeria. International Research Journal in Engineering and
Technology (IRJET), Vol. 2, No. 1 pp. 111-119.
Olayinka, A. I., (1990). Electromagnetic profiling for groundwater in Precambrian
Basement Complex areas of Nigeria: Nordic Hydrogeology, Vol. 21 pp. 205 –
216.
Olayinka, B.Y., (2000). Senior Secondary Atlas: Longman. Atlas Nigeria.
Omosuyi, G. O, Adegoke, A. O, and Adelusi, A. O., (2008). Interpretation of
Electromagnetic and Geoelectric Sounding Data for Groundwater Resources
around Obanla-Obakekere, near Akure, Southwestern Nigeria. The Pacific
Journal of Science and Technology. Vol. 9 No. 2. pp. 508-525.
Omosuyi, G.O. (2010). Geoelectric assessment of groundwater prospect and vulnerability
of overburden aquifers at Idanre, Southwestern Nigeria. Ozean Journal of Applied
Sciences Vol. 3. No.1. pp. 19-28.
Oteze, G. E., and David, L .M. (2002). Hydro-geophysical survey of Ivioghe area: Edo
State Nigeria. Water Resources – Journal of Nigerian Association of Hydro-
geologists, (NAH), Vol. 13. pp. 71 – 77.
Oyedele, K. F., and Adeyemo, A. O. (2001). Surface electrical resistivity measurement in
the characterization of groundwater potentials of the typical Basement Terrain,
cxxii
Northern Nigeria. African Journal of Environmental Studies Vol.2 No. 1 pp. 52 -
54.
Parasins, D. S. (1986). Principles of applied geophysics. Chapman and Hall U.S.A.
pp. 1 - 402.
Reyment, R. A. (1965). Aspects of the Geology of Nigeria: Ibadan University Press.
pp. 36 – 43.
Richards, R. T., and Troester, J. W. (1998). An Electromagnetic geophysical survey of
the fresh water lens, of Isla De Mona, Puerto Rico. Journal of Cave and Karsts
Studies, Vol. 60 No. 2, pp. 115 – 120.
Selemo, A. O. I., Okeke, P. O. and Nwankwo, G. I. (1995).An appraisal of the usefulness
of vertical electrical sounding (VES) in groundwater exploration in Nigeria.
Water Resources Vol.6 No1 and 2, pp. 61-67.
Shahid, S., and Nath, S. K. (2010). GIS Integration of Remote Sensing and Electrical
Sounding Data for Hydrogeological Exploration. J. of Spatial Hydrology.Vol.2
No.1. pp. 1-12.
Singh, K. K. K., Singh, K. A., Singh, K. B., and Sinha, A. (2006). 2D resistivity imaging
survey for sitting water supply tube wells in metamorphic terrains: A case study
of CMRI campus, Dhanbad, India. The Leading Edge: 25, pp. 1458-1460.
Telford, W. M., Geldart, I. P., and Sheriff, R. E. (1990). Applied Geophysics, Second
Edition, New York. Cambridge University Press pp.1 – 770.
Ugwu, S. A., and Nwosu, J. I. (2009). Detection of fractures for groundwater
development in Oha-Ukwu using electromagnetic profiling. J.App. Sci. Environ.
Manage. Vol.13 (4) 59-63.
Ugwueke, B. U. D., Nkereuwem, O. T., Utah, E. U., (2005). Local tectonism and
groundwater accumulation in the Basement Terrain: The study of the North –
Eastern part of Gwoza area of Borno State, Nigeria. International Journal of
Environmental Issues, Vol. 3, No. 2 pp. 1-9.
Vander Velpen, B. P. A., (2004). WIN RESIST™. Electrical resistivity inversion
program.
Worthington, P. R. (1977). Geophysical investigations of groundwater resources in the
Kalahari Basin. Geophysics, Vol. 42, No 4, pp. 838-849.