Open Journal of Geology, 2013, 3, 1-6
doi:10.4236/ojg.2013.32B001 Published Online April 2013 (http://www.scirp.org/journal/ojg)
2-D Resistivity Study: The Horizontal Resolution
Improvement by Introducing the Enhancing Horizontal
Resolution (EHR) Technique
M. M. Nordiana, Rosli Saad, M. N. M. Nawawi, Nisa’ Ali, I. N. Azwin, A. H. A. Teh Saufia
Geophysics section, School of Physics, 11800 Universiti Sains Malaysia, Penang, Malaysia
Email: mmnordiana@gmail.com, rosli@usm.my, mnawawi@usm.my, nisa_ali_89@yahoo.com,
nurazwinismail@yahoo.com, teh.saufia@gmail.com
Received 2013
ABSTRACT
2-D resistivity method is an indirect method to the shallow subsurface survey for maintaining the geo-environment. It is
used to measure the apparent resistivity of subsurface. EHR technique was developed in order to get detail and deeper
penetration for shallow subsurface study. In this study, 2-D resistivity with Enhancing Horizontal Resolution (EHR)
technique is adopted to map and characterize the shallow subsurface (mineral exploration, geology, engineering and
environment) using Pole-dipole array. The locations are Pagoh, Johor; Nusajaya, Johor and Puchong, Selangor (Malay-
sia). The study associated with mineral exploration is Pagoh, Johor while for Nusajaya, Johor is associated with geology
and Puchong, Selangor is associated with engineering and environment. The 2-D resistivity and Induced polarization
(IP) were employed at Pagoh, Johor to study and detect the subsurface variation of resistivity and chargeability of iron
ore in the area. Result of the 2-D resistivity as well as the Induced Polarization (IP) shows that the area is underlain by a
thick alluvium with resistivity value of 10 - 800 ohm-m iron which has chargeability rate of 0.1 - 3 msec. A sedimentary
case study was executed at Nusajaya, Johor shows sandstone contains iron mineral (30 - 250 ohm-m) and weathered
sandstone (500 -1000 ohm-m). Interpretation of 2-D resistivity data at Puchong, Selangor showed a low resistivity value
(< 40 ohm-m), which appears to be a zone that is fully saturated with sandy silt and this could be an influence factor the
increasing water level because sandy silt is highly permeable in nature. The borehole, support the results of 2-D resis-
tivity method relating a saturated zone in the survey area. There is a good correlation between the 2-D resistivity inves-
tigations and the results of borehole records. The stratigraphy and structure of the three case studies (mineral explora-
tion, geology, engineering and environment) can be mapped effectively using 2-D resistivity with EHR technique.
Keywords: 2-D Resistivity; EHR Technique; Mineral Exploration; Geology; Engineering and Environment
1. Introduction
Geophysical study provides supported data in order to
save cost and time. Geophysical methods can be used to
determine depth of bedrock, nature of overburden mate-
rials and near surface structures such as sinkholes, cavi-
ties, voids, faults and boulders [1]. This paper aims to
show how 2-D resistivity methods were successfully
used for detection in shallow subsurface. An important
part of this study is to improve the 2-D resistivity hori-
zontal resolution and prove a detail image of deep struc-
ture can be obtained using EHR technique.
2. 2-D Resistivity Method
2.1. Theory of 2-D Resistivity
2-D resistivity method is used to determine the electrical
resistivity structure of the subsurface (Figure 1). Resistivity
is defined as a measure of the opposition to the flow of
electric current in a material. The resistivity of a soil or
rock is dependent on several factors that include amount
of interconnected pore water, porosity, amount of total
Figure 1. Four-point electrode configuration in a two-layer
model of resistivity, ρ1 and ρ2. I, current; U, voltage; C,
current electrode; P, potential electrode [6].
Copyright © 2013 SciRes. OJG
M. M. NORDIANA ET AL.
2
dissolved solid such as salts and mineral composition
(clays). The 2-D resistivity method is described by [2-5].
2.2. Enhancing Horizontal Resolution (EHR)
Technique
When two current electrodes are placed close to one an-
other, current flows along arc-shaped paths connecting
the two electrodes. About 50% of the current flows
through rock at depths shallower than the current elec-
trode spacing provided the earth has a constant resistivity.
By increasing the electrode spacing, more of the injected
current will flow to greater depths, as indicated in Figure
2. If the electrode spacing is much closer, current flows
mostly near the earth surface and apparent resistivity will
be dominated by resistivity structure of the near surface
[7]. Using EHR technique, the current will flow close to
each other at a greater depth (Figure 3).
Electrode spacing = 10 m
Depth (m)
0
-10
-20
-30
-40
-40 -20 0 20 40
Distance (m)
Distance (m)
Electrode spacing = 50 m
Depth (m)
0
-10
-20
-30
-40
-40 -20 0 20 40
Figure 2. Current flow through the earth with different
electrode spacing.
Electrode spacing = 10 m
Depth (m)
0
-10
-20
-30
-40
-40 -20 0 20 40
Distance (m)
Figure 3. Current flow through the earth with EHR tech-
nique.
The important part of this study is to show that EHR
technique can improve the 2-D resistivity pseudo section
and prove to get deeper penetration. 2-D resistivity sur-
vey is to determine the subsurface resistivity distribution
by taking measurements on the ground surface. The true
resistivity of the subsurface can be estimated [8]. Figure
4 shows the datum points for Pole-dipole arrays with and
without EHR technique.
3. Study Area
Four different locations were identified and associated
with mineral exploration, geology, engineering and en-
vironment studies which were mainly focused on shallow
subsurface investigations. The locations are Pagoh, Johor;
Nusajaya, Johor and Puchong, Selangor (Malaysia).
3.1. Pagoh, Johor
Two electrical techniques that were chosen in this study
area were 2-D resistivity and Induced polarization (IP)
method to map the iron ore distribution. Three survey
lines (PAR1-PAR3) were conducted using electrical
methods and based on the result obtained, PAR3 was
selected to run the EHR technique. For each electrical
method, a total spread of 400 m and 690 m were obtained
with a vertical depth of penetration of about 140 to 150
m.
3.2. Nusajaya, Johor
The 2-D resistivity with Enhancing Horizontal Resolu-
tion (EHR) technique is adopted to map and characterize
the shallow subsurface of the sedimentary outcrop.
(a)
(b)
Figure 4. 2-D resistivity datum points to build up a pseudo
section, (a) common Pole-dipole array; (b) Pole-dipole ar-
ray with EHR technique.
Copyright © 2013 SciRes. OJG
M. M. NORDIANA ET AL. 3
3.3. Puchong, Selangor
2-D resistivity is carried out to detect spread saturated
zone and subsurface problems caused by the presence of
underground river, which resulted from selected urban
area at Selangor, Malaysia. The surveyed area was inves-
tigated by three 2-D resistivity profiles (PR1-PR3), each
consisting of 5 m minimum electrode spacing with 41
electrodes. Based from the result obtained PR6 were se-
lected for the EHR technique. The survey lines were
correlated with borehole that existed on site.
4. Methodology
The survey used pole-dipole array with space between
electrodes is 2 m (Nusajaya, Johor) and 5 m (Pagoh, Jo-
hor and Puchong, Selangor). For EHR technique, after
the data acquisition of the first survey line was complete,
the electrodes were shifted to the right on the same line
and the process of data acquisition was repeated. The two
sets of data (without shifted and shifted) obtained for
each line was combined during processing using
Res2Dinv software for gridding, contouring and final
presentation. Surfer software was used to map the sub-
surface outcrop and to correlate with the borehole record.
5. Results and Discussions
The results of the 2-D resistivity survey are divided into
two main parts, without and with EHR technique. Bore-
hole data provided at some of the study area used to be
correlated with geophysical data. Physical parameters
that are related to mineral exploration, geology, engi-
neering and environment are discussed in detail by con-
sidering the geological setting, borehole records and
geomorphology of the study areas. Discussions are made
according the objective of each study area which is di-
vided into three different study areas. The HER tech-
nique performance was evaluated based on a least square
algorithm, available in the RES2DINV software.
5.1. Pagoh, Johor
There are several possible mechanisms that can explain
the occurrence of iron ore in the study area. The survey
results are presented in Figures 5 - 8. The resistivity re-
sult of PAR1, PAR2 and PAR3 suggested the area is un-
derlain by a thick alluvium with resistivity value of 10 -
800 m (Figure 9). The alluvium can be expected to
cover to a depth of up to 150 m. The alluvium can be
divided into three zones. The first zone is saturated zone
with resistivity value of 20 - 100 m and suspected to be
groundwater. The second zone is hard layer with resistiv-
ity value of 1500 - 5000 m while third zone is boulders
or hard material with resistivity value > 5000 m (Fig-
ures 5(a), 6(a), 7(a) and 8(a)). The IP result as shown in
Figure 5(b) suggests that the material with chargeability
rate of 0.1 - 3 ms at depth below 20 m is abundant. A low
chargeability material (0.1 - 3 msec) of probably iron ore
can be expected at depth of about 40 m between 80-350
m from point B as shown in Figure 6(b). The thickness
of this layer is about 20 - 60 m. On the other hand, a hard
material body is expected at depth of 80 m. Figure 7(b)
shows a low chargeability material (probably iron) (0.1-3
msec) is detected at about 20 m below the original
ground level. The thickness of this material is estimated
20 - 100 m. However, Figure 8(b) shows an image im-
provement in term of horizontal distribution with EHR
technique. PAR3 used 5 m minimum electrode spacing
with depth of penetration 140 m (Figure 7) while PAR3
with EHR technique used 1.67 m with the same depth of
penetration (Figure 8). The concentration of low charge-
ability was clearly shown in PAR3 with EHR technique.
This is proving by the drilling process which the iron ore
is found at the study area as show in Figures 10 and 11.
Boulders
Saturated
Saturated Saturated
Chargeability
0.1-3 msec
Figure 5. (a) Inversion modelesistivity of PAR1 from elec- r
trical resistivity and (b) chargeability section from IP sur-
vey.
Boulders
Saturated
Saturated
Chargeability
0.1-3 msec
Figure 6. (a) Inversion model resistivity of PAR2 from elec-
trical resistivity and (b) chargeability section from IP sur-
vey.
Saturated
Chargeability
0.1-3 msec
Figure 7. (a) Inversion model resistivity of PAR3 from elec-
trical resistivity and (b) chargeability section from IP sur-
vey.
Copyright © 2013 SciRes. OJG
M. M. NORDIANA ET AL.
4
Saturated
Chargeability
0.1-3 msec
Figure 8. (a) Inversion modelesistivity of PAR3 with EHR
technique from electrical rey and (b) chargeability
r
sistivit
section from IP survey.
Figure 9. Alluvium at the study area.
Figure 10. A sample of iron ore found at the study ara.
e
Figure 11. The iron ore deposit found after drilling.
5.2. Nusajaya, Johor
Profile trends South-North direction to a length of 80 m
and imaging depths of 18 m was carried out in the sedi-
mentary area at Nusajaya, Johor. Figures 12 and 13
show the 2-D resistivity section of without and with EHR
technique. The EHR technique produce almost the same
depth of penetration (~18 m) with 1 m minimum elec-
trode spacing while without EHR technique used 2 m
minimum electrode spacing. The result from EHR tech-
nique show great improvement in horizontal resolution as
compare to without EHR technique.
Tt
d
he inversion model resistivity displays the upper par
n mineral (30 - 250 ohm-m) anas sandstone contains iro
weathered sandstone (500 - 1000 ohm-m) alternately.
The lower part of the layer represents sandstone and silt-
stone exhibit high resistivity values of 1500 - 5000
ohm-m. Result from EHR technique was chosen to over-
lap the outcrop (Figure 14).
5.3. Puchong, Selangor
The inversion model resistivity of PR1 shows permeable
with resistivity value of 300 - 500 m at depth < 20 m
from the surface. The permeable layer comprises coarse
gravel/sand, a good potential for groundwater aquifer. In
10 20 30 40 50 60 70 80
1
0
2
0
30 4
0
5
0
6
0
7
0
8
0
-
1
5
-
1
0
-5
0
-15
-10
-5
0
resistivity at Nusajaya, Johor Figure 12. Inversion model
without EHR technique.
10 2030 4050 6070 80
10 2030 4050 6070 80
-
1
5
-
1
0
-5
0
-10
-5
0
-15
30
100
160
230
250
270
300
330
370
500
800
1500
3000
5000
8000
15000
30000
Figure 13. Inversion model resistivity at Nusajaya, Johor
with EHR technique.
Figure 14. Contouring model resistivity for sedimentary
deposits at Nusajaya, Johor.
Copyright © 2013 SciRes. OJG
M. M. NORDIANA ET AL. 5
relation to this investigation, the permeable layer pro-
vides a passage for water to flow through easily. As
shown in Figure 15, saturated zone (0 - 40 m) was
found scattered at PR2 and PR3 at the depth of 10 m to
20 m. The nearest borehole is at PR3 where DBH 4
shows at depth 10 m to 20 m is sandy silt. Therefore the
low resistivity at 10 - 20 m depth could be mainly due to
sandy silt and this could be an influence factor the in
an be further confirm that sandy silt
located at 10-15 m depth and water level is full at the
end of each borehole measured by DBH 2, DBH 5 and
DBH 7. These low resistivity value from top of the sur-
face with fracture and highly weathered sandstone will
caused to tension crack at this area.
Throughout, 2-D profiling with Pole-dipole array for
common array and modified array with EHR technique
-
creasing water level because sandy silt is highly perme-
able in nature. This c
is
adopted at PR6 due to the good horizontal and vertical
resolution with correlation with SPT N-value as shown in
Figure 16.
PR1
PR2
PR3
Permeable layer
Bedrock
Saturated clay/ silt
Permeable layer
Bedrock
Permeable layer
DBH4
Figure 15. Inversion model resistivity of PR1, PR2 and PR3.
20 40 60 80100120
20 40 60 80100120
20
40
20
40
20 40 60 80100120
20 40 60 80100120
20
40
20
40
0
3
5
8
10
25
50
60
80
100
300
500
800
1000
3000
b) with EHR
5000
a) without EHR
Resistivity (ohm-m), N-value
DBH 4
602.94, 7
1318.4, 9
893.82, 8
527.22, 20
160.62, 9
90.39, 11
20.16, 7
22.475, 15
24.79, 7
65.62, 10
106.45, 8
147.28, 12543.505, 9
939.73, 19
1681.1, 17
2422.4, 50
3163.8, 50
3700.7, 50
Resistivity (ohm-m), N-value
708.6, 7
1075.9, 9
1406.5, 8
784.27 , 20
220.36, 9
61.13, 11
28.88, 7
31.6, 15
52.78, 7
73.96, 10
166.345, 8
258.73, 12942.15, 9
1536, 19
2129.9, 17
2723, 50
3955, 50
5186.2, 50
DBH 4
Figure 16. Inversion model resistivity of PR3 with SPT
N-value a) Pole-dipole array b) Pole-dipole array with EHR
technique.
-D resistivity imaging survey at the depth of 10 m to 20
from the surface. The borehole is located at 63 m at
the survey line and shows at depth of 10 m to 20 m is
sandy silt. Highly weathered sandstone was found at 6 m
depth with resistivity value of 800 m and SPT N-value
of 20. The bedrock was found at 27 m depth with resis-
tivity value of 3000 m and SPT N-value of 50. Figure
16 shows the higher the resistivity value, the higher the
SPT N-value using common Pole-dipole array and Pole-
dipole with EHR technique. However the soil resistivity
can be affected by water and clay content. Subsequently,
Figure 17(b) shows that the resistivity value for EHR
technique is closely arranged where it matches with the
SPT N-value.
Saturated zone (0 - 40 m) was found scattered at the
2
m
6. Conclusions
Based on regional characterization of the study areas, the
2-D resistivity imaging with Enhancing Horizontal
Resolution (EHR) technique mapped the shallow sub-
surface of the study areas in Malaysia. Photo observation,
surface observations and borehole record are used to sup-
port the 2-D resistivity technique interpretation.
Figure 17. Relationship between measured N-values and
resistivity survey.
Copyright © 2013 SciRes. OJG
M. M. NORDIANA ET AL.
Copyright © 2013 SciRes. OJG
6
7. Acknowledgements
The authors express their sincere thanks to all technical
staffs and postgraduate, School of Physics, Universiti
Sains Malaysia.
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