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Volume 2021, 18 pages | Article ID : IJPGE-2107082112366
International Journal of Petroleum and Geoscience Engineering
Journal homepage: www.htpub.org/ijpge/
ISSN: 2289-4713
Petrophysical Characterization of Agbada Formation Reservoirs, In Well U4, Offshore, Eastern Niger Delta Basin, Nigeria
Christopher M. Agyingi*, Alex-Abbas T. Ngassa, Anatole E. D-Lordon, Victor L. Wotanie
Petroleum Research Group, Department of Geology, University of Buea, P.O. Box 63 Buea Southwest Region Cameroon
Article
Abstract
Article history: Received: 27 May 2021 Received in revised form: 03 July 2021 Accepted: 09 July 2021
Well U4 is located offshore, in the eastern part of the Niger Delta Basin in Nigeria. A conventional suit of wireline logs including caliper log, gamma ray log, density log, neutron log, photoelectric effect log, sonic logs (shear and compressional) and resistivity logs were acquired for petrophysical evaluation of reservoirs in the well in order to assess their hydrocarbon potentials. The results show that the lithological succession of the reservoir zones in the well corresponds to the Agbada Formation within the depth interval of 2302m and 3246m, where fourteen hydrocarbon reservoir Zones (A to N) have been delineated. Eight of these reservoirs have thicknesses ranging from 11m to 32m, while six have thicknesses ranging from 2m to 9m. Neutron-density plots and neutron-density crossover patterns indicate that 12 of these reservoirs are gas-bearing sandstones, but with Zone D having gas, oil and water, while Zone E is saturated with gas and oil. Average reservoir porosities range from 0.160 to 0.300 and average permeability range from 255.2md to 1708.8md. The low shale volumes values (0.033 to 0.161) obtained from calculations indicate that almost all of these reservoirs have shale volume values below the limit of 15% that can affect water saturation and the free flow of fluids. Average water saturations are low, consequently, high hydrocarbon saturations with values ranging from 0.553 at Zone D, to 0.906 at Zone B. This well shows significant gas columns within the reservoir intervals. With large reservoir thicknesses, suitable reservoir qualities and high hydrocarbon saturation values, this area is a good natural gas prospect.
Keywords: Niger Delta, Reservoir porosity, Reservoir permeability, Fluid saturation
1. Introduction
The increasing demand for petroleum has caused reservoirs of low prospect to be reviewed and re-
characterized with the help of modern logging instruments with higher resolution; which provide
improved information about reservoirs. This information has helped in the discovery of new reservoirs
and revitalization of some “low prospect” reservoirs. With a better understanding of the petrophysical
and petrochemical properties of reservoirs, appropriate well completion and production methods,
which could improve the actual recovery, can be used. Logging tool responses and core data are often
*Corresponding author at: Petroleum Research Group, Department of Geology, University of Buea, P.O. Box 63 Buea Southwest
Region Cameroon
Email address: [email protected]
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
2
used to draw inferences about lithology, depositional environments and fluid content [1]. Reservoir
characterization is undertaken to determine its capability to both store and transmit fluid.
All studies carried out in this delta by several researchers, point to the Agbada Formation as the
main hydrocarbon habitat in the Niger Delta Basin [2-5]. Qualified and quantified reservoirs of some
wells in the basin, i.e. they determined the depth and thickness, lithology, gas bearing sands, porosity
and production potential.
This delta is the largest petroleum oil province in Africa with 574 discovered fields (481 oil fields
and 93 gas fields) [6] and any information on the reservoir geology is very important for further
exploration and exploitation of hydrocarbon in the basin. The overall objective of this work was to carry
out petrophysical interpretation of wireline log to qualify and quantify reservoirs of the Agbada
Formation in Well U4 (Fig 1), in order to assess their hydrocarbon potentials.
1.1. Geologic Setting
The Niger Delta is ranked among the world’s major hydrocarbon provinces. It is the most important
in the West African continental margin [7]. This basin is situated in the Gulf of Guinea, on the West
African continental margin lies between latitudes 4o and 7oN and longitudes 3o and 9oE (Fig 1). It
underlies the coastal plain, continental shelf and slope of Nigeria, western Cameroon and northern
Equatorial Guinea west of Bioko Island. The part of the Delta in western Cameroon and Equatorial
Guinea is known as Rio del Rey Basin. The depo-belts of this basin form one of the largest regressive
deltas in the world with an area of some 300,000 km2 [8], a sediment volume of 500,000 km3 [9] and a
sediment thickness of over 10 km in the basin depo-centers [10]. These deposits have been divided into
three large-scale lithostratigraphic units: the basal Paleocene to Recent pro-delta facies of the Akata
Formation (about 6,000m thick), Eocene to Recent, paralic facies of the Agbada Formation (more than
3,700m thick), and Oligocene-Recent, fluvial facies of the Benin Formation (about 2,000m thick) [11-
13]. These formations represent prograding depositional facies that are distinguished mostly on
the basis of sand-shale ratios. Petroleum occurs throughout the Agbada Formation of the Niger Delta,
where oil and gas are mainly trapped in rollover anticlines and fault closures.
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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Figure 1. Map showing the study area
Figure 2. Stratigraphy of the East Niger Delta Basin [14]
2. Methodology
The wire-line logs used in this research comprise of a caliper log, gamma ray log, photoelectric effect
log, density log, neutron porosity log, sonic logs (shear sonic and compressional sonic) and a resistivity
log (deep and shallow resistivity log). This study involves the interpretation of the logs to delineate the
potential zones of hydrocarbon in the Agbada Formation. The logs were manually interpreted through
a systematic approach to determine the lithologic succession in the well and petrophysical properties
of the zones of interest. The parameters of log interpretation were determined directly or inferred
indirectly. Rock properties or characteristics that the study was based on and that affect logging
measurements are: lithology, porosity, mineralogy, permeability and water saturation.
2.1. Determination of Lithology
The gamma-ray log was used to delineate the lithology using a quick-look interpretation method.
The American Petroleum Institute (API) values range from sandstone line 0 API to shale line 125 API.
As the signature of the log moves towards the higher values, the formation becomes shalier. Then, the
lithological sequence of the formation of the study area was established. The caliper log was also used
for lithologic purposes; the critical data are caliper readings relative to bit size.
2.2. Petrophysical Analysis
2.2.1. Shale and Clay Volume
The gamma ray was used to calculate the volume of shale in the porous reservoirs. To calculate the
shale volume, the gamma ray index (IGR) is needed.
𝐼𝐺𝑅 = (𝐺𝑅𝑙𝑜𝑔 − 𝐺𝑅𝑚𝑖𝑛)
(𝐺𝑅𝑚𝑎𝑥 − 𝐺𝑅𝑚𝑖𝑛) (1)
where,
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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IGR = Gamma ray index
GRlog = Gamma Ray Log reading of formation
GRmin = Gamma Ray Matrix (Clay free zone)
GRmax = Gamma Ray Shale (100% Clay zone)
For this study, 24GAPI and 164GAPI were picked from the log for minimum and maximum gamma
ray values respectively. Then, the non-linear equation [15] for Tertiary rocks was used to calculate the
shale volume:
[15] Non-linear equation:
𝑽𝒔𝒉 = 𝟎. 𝟎𝟖𝟑(𝟐𝟑.𝟕(𝑰𝑮𝑹) − 𝟏) (2)
2.2.2. Porosity
Porosity was determined from the formulas:
∅ =∅𝑁 + ∅𝐷
2, (for liquid saturation) (3)
∅ = √∅𝑁
2 + ∅𝐷2
2, (for gas saturation) (4)
where,
∅𝑁 = neutron porosity, obtained from the neutron log
∅𝐷 = density porosity, determined from Wyllie equation as follows:
∅D = (δma − δb)
(δma − δfl) (5)
where,
∅𝐷 = porosity derived from density log
δma = matrix (or grain) density
δb = bulk density (as measured by the tool and hence includes porosity and grain density)
δfl = fluid density.
The effective porosity was estimated according to Eq. (6)
∅e = [(δma − δb)
(δma − δfl)] − [Vsh ∗ (
(δsh − δb)
(δsh − δfl))] (6)
i.e., ∅𝑒 = ∅ − 𝑉𝑠ℎ . ∅𝑠ℎ
where,
∅e = Effective porosity
δ𝑠ℎ = Density of shale
Vsh ∗ ((δsh − δb)
(δsh − δfl)) = Shale Bound Water
(δma = 2.65g/cc, δw = 1.0g/cc, δsh = 2.6g/cc, δg = 0.6g/cc, δoil = 0.8g/cc)
2.2.3. Water Saturation
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
5
Water saturation was determined using Pickett plot and the accuracy of the values was verified using
Archie Equation for water saturation as shown in Eq. (7) and the Indonesian Equation was used to
calculate the effective water saturation as shown in Eq. (8).
Sw = √(a. R𝑤
∅m. R𝑡
)n
(7)
Swe = √
1
(V𝑠ℎ
2
Rt𝑠ℎ⁄ ) + (
∅𝑒m
a. R𝑤⁄ ) ∗ R𝑡
n (8)
(a = 0.81, m = 2, n = 2, Rtsh= 2.5)
where,
Rtcl = Deep resistivity in clay (read from log)
Rt = Deep Resistivity
Rw = Down hole water resistivity
Фe = Effective porosity
Sw = Water saturation
Swe = Effective water saturation
a = Archie’s exponent (tortuosity factor)
m = Cementation factor
n = Saturation exponent, it is the gradient of the line defined on the Pickett plot.
2.2.4. Determination of Hydrocarbons Saturation
Hydrocarbon Saturation, Sh, is the percentage of pore volume in a formation occupied by
hydrocarbon. It can be determined by subtracting the value obtained for water saturation from 1, i.e.
Sh = 1 − Sw (9)
2.2.5. Calculation of Permeability
Permeability, K is the property of a rock to transmit fluids. For each identified reservoir,
permeability (K) was calculated using [16] equation [27]:
𝐾 = (250 ∗ ∅3
𝑆𝑤 𝑖𝑟𝑟
)
2
, (medium − gravity oils) (10)
𝐾 = (79 ∗ ∅3
𝑆𝑤 𝑖𝑟𝑟
)
2
, (dry gas) (11)
where,
Φ = porosity
Swirr = irreducible water saturation
where Swirr was calculated using [17] equation
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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𝑆𝑤 𝑖𝑟𝑟 = 𝐶
∅
where,
C = constant (for sandstone, C = 0.02 to 0.10)
2.2.6. Bulk Volume Water
This is the product of the formation water saturation (Sw) and it porosity (ϕ)
𝐵𝑉𝑊 = 𝑆𝑤 ∗ ∅ (12)
The grain size of the reservoir was obtained from BVW by the use of a comparative chart (Table 3.4).
2.2.7 Pay Zone
The pay zone thickness was determined by subtracting the non-hydrocarbon section from the
reservoir’s thickness.
2.2.8 Cross-Plots
The neutron-density plot was used to determine the rock type and fluid saturation type. The Pickett
plot was used to confirm the interpretation from the quick-look method and for the determination of
formation water resistivity (Rw), water saturation (Sw) and irreducible bulk volume water. The Buckles
plot was used to determine whether the reservoirs are at irreducible water saturation or not.
3. Results and Interpretation
3.1. Lithologic units and reservoir zones
The interval of Well U4 evaluated shows from the depth tracks that this well is a directional well,
having a general trendline with gradient of 1.3 and makes and angle of 41.40 with the vertical. The true
vertical depth (TVD) interval ranges from 1970m to 3335m. The evaluated log interval has two major
lithological units based on gamma ray log, and neutron-density lithology plot, namely: shale and
sandstone. According to [18], this depth interval corresponds to the Agbada Formation. A cut off value
of 73API was determined using the gamma ray log and values below it are sandstones while those above
it are shale. Added to the above mentioned methods is the caliper log which was used to identified zones
of mudcake formation (permeable zones) and cave-in zones (impermeable zones; shale), by the
reduction and increase in borehole diameter respectively. Forty two reservoirs were delineated with
different thicknesses, but fourteen (14) of them are of interest to this study, because of their thickness
and fluid saturation type. These reservoir bodies were marked as Zone-A to Zone-N (Fig. 3, 4, & 5).
The density porosity was calculated using 2.65g/cm3 grain density, 1.0g/cm3water density,
0.8g/cm3oil density and 0.6g/cm3 gas density [19]. The porosities are generally very good according to
[20] porosity classification.
Table 1. Porosity classification
Porosity (%) Retarding Theory
0-5 Negligible
5-10 Poor
15-20 Good
20-30 Very good
>30 Excellent
Many gas-bearing zones have been identified in this well by negative crossing over of Density and
Neutron logs at the reservoir zones. These reservoirs generally have low water saturations, which
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
7
invariably are indications that hydrocarbon saturations are high. There is a general decrease in grain
size determined from BVW) from Zone A (at shallower depth) to Zone N (at greater depth).
Figure 3. Wireline log for Well U4 with interpreted
lithology and fluid saturation type
Figure 4. Wireline log for Well U4 with interpreted
lithology and fluid saturation type (continuation of Fig. 4)
Figure 5. Wireline log for Well U4 with interpreted lithology and fluid saturation type (continuation of Fig. 5)
Three reservoir scenarios were encountered along this well and Zone B, D and E are used as
examples to illustrate how all the reservoirs were characterised.
3.1.1. Zone-B
This reservoir is a sandstone bed with a thickness of 22m and occurs at a vertical depth interval of
2457m and 2479m. It has an average shale volume of 0.050 (5.0%), which is below the limit of 15%.
This reservoir has an average porosity value of 0.300, which according to Rider (1986) classified; it is
“very good”. The effective porosity is also excellent (0.280) and this is due to the very small shale volume
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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present in the reservoir. This zone has low average water saturation value (0.094), with very high
average hydrocarbon saturation value (0.906). This reservoir has an average permeability value of
1328.9md, which can permit a very free flow of fluid. According to [20] permeability classification, this
permeability is classified as “excellent”. The density curve reads much higher porosity than the neutron
log: “crossover‟ [19], combined with the neutron density plot (Fig. 6a) and very high true resistivity
values at this zone, indicate that this zone is entirely a gas-bearing sandstone reservoir. A fairly constant
porosity value with depth can be identified from the porosity values in Table 1. This could be as a result
of the very low shale volume, it’s even distribution and the well sorted nature of the sands in the
reservoir. The average BVW value of 0.028 indicates that this sandstone is medium-grained. The
computed petrophysical parameters for this reservoir are presented in Table 1.
A Pickett plot (Fig. 6b) of true resistivity against porosity for this zone indicates that all the points
plot below 0.2 water saturation line; which is a good indication of high hydrocarbon saturation. This
plot also shows that all the points plot below the irreducible BVW line. Also, from the Buckles plot (Fig.
6c) all the points cluster around a BVW line slightly below the irreducible BVW hyperbolic curve;
indicating that the zone is at irreducible water saturation. Therefore, hydrocarbon cans be produced
from this zone with no water. This plot also confirms the fact that this zone is saturated with
hydrocarbons.
3.1.2. Zone-D
This reservoir occurs at a vertical depth interval of 2512m and 2540m, with a thickness of 28m. This
huge sandstone reservoir has an average porosity value of 0.229 and an average effective porosity value
of 0.223. It has an average permeability value of 314.3md, which can permit a very free flow of fluid.
According to [20] porosity and permeability classification, this porosity is considered as “very good” and
permeability as “very good”. The average shale volume in this zone is 0.038 (3.8%), which is very much
below the limit of 15% that can affect the water saturation value and fluid flow in the reservoir [9].The
calculated average water saturation for this reservoir is 0.447 and average hydrocarbon saturation
value of 0.553. The neutron-density plot (Fig. 7a),the crossover pattern of density and neutron log,
combined with the high resistivity values at this reservoir indicate that this reservoir is saturated with
gas at the upper section, oil below the gas zone and water at the base of the reservoir. The gas/oil contact
is suspected at the depth of 2522m and the oil/water contact at the depth of 2526m. The BVW values
indicate that the hydrocarbon saturated zone is made of very fine grains, while the water saturated zone
is made of silt. The permeability of this water saturated zone is not as good as that of the zone above it,
which is saturated with hydrocarbon. The computed petrophysical parameters for this reservoir are
presented in Table 2.
A Pickett plot (Fig. 7b) for water saturation, with BVW values, shows a cluster of points that are
closely plotted around the 0.6 water saturation line; indicating a water saturated zone while the rest of
the points cluster around the 0.2 water saturation line; indicating hydrocarbon saturation. Buckles plot
(Fig. 7c) shows that the water saturated points cluster around a BVW hyperbolic curve which is slightly
above the 0.15 BVW value, indicating that the zone is at irreducible water saturation. The rest of the
points cluster around several BVW hyperbolic curves, indicating that the zone is not at irreducible water
saturation and therefore, hydrocarbons will be produced with some water.
3.1.3. Zone-E
This sandstone reservoir occurs at a vertical depth interval of 2615m to 2647m, with a thickness of
32m. This huge reservoir has an average porosity value of 0.288, with an effective porosity value of
0.256. According to [20] porosity classification, this porosity is classified as very good. It also has an
excellent permeability of 1708.8md, which can permit the free flow of fluid. The average shale volume
for this reservoir stands at 0.141 (14.1%), which is slightly below the limit of 15% that can affect the
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
9
water saturation and fluid flow in the reservoir [9]. The calculated average water saturation for this
reservoir is 0.122 and average hydrocarbon saturation value of 0.878. The neutron-density plot (Fig.
8a),the crossover pattern of density and neutron log, combined with the high resistivity values at this
reservoir indicate that this reservoir is saturated with gas at the upper section and oil at the base. The
gas/oil contact is at 2645m depth. The average BVW value (0.029) for this reservoir indicates that the
sandstone is medium-grained. The computed petrophysical parameters for this reservoir are presented
in Table 3.
3.2. Petrophysical parameters and fluid saturation
A Pickett plot (Fig. 8b) for water saturation, with lines for BVW value, shows that the entire points
plot below the 0.4 water saturation line, but with majority plotting below the 0.2 water saturation line.
These low water saturation values are indications of high hydrocarbon saturation. It can be seen from
Fig. 8c (Buckles plot) that the points do not plot along any BVW hyperbolic curve, indicating that the
formation is not at irreducible water saturation. Therefore, hydrocarbons will be produced with some
amount of water.
Table 4 is a summary of results of the important petrophysical parameters utilized as variables to
determine reservoir quality. Considering these parameters across all the delineated reservoirs, there is
a decreasing trend with depth in the reservoirs’ average porosity (Fig. 9), with the values ranging from
0.160 to 0.300, indicating an outstanding reservoir quality and reflecting probably well sorted
sandstones with minimal cementation. This decreasing trend of porosity with reservoir depth can be
due to compaction caused by overburden pressure from overlying rocks. The reservoir units’ average
permeability value ranges from 255.2md to 1708.8md (Fig. 10). In the appraisal of a well's productivity,
the permeability of reservoir unit is an important parameter. The water saturations in the zones of
interest are generally very low, with average reservoir values ranging from 0.094 to 0.447 and an
increasing trend of these average water saturation values can be seen as we move from Zone A to Zone
N. The reservoirs show a decreasing trend in reservoir’s average hydrocarbon saturation values from
Zone A to N, with the values ranging from 0.553 to 0.906, but generally having very high hydrocarbon
saturation values. The occurrence of low shale volumes (0.033 to 0.161) in the reservoirs is another
important factor for the good porosity and permeability values. There is an increasing shale volume
trend with increasing depth. Fig. 11 shows an increasing trend in reservoir thickness from Zone A to
Zone E and an irregular pattern form Zone F to N. The resistivity values of formation water for the
various reservoir depths have a decreasing trend with depth. This might be due to increasing
temperature and salinity with depth.
From the reservoirs grain sizes determined from BVW values, a general shallow-up pattern
(coarsing-up pattern) can be seen, but in detail, there are some transgression and regression patterns.
Zone B, C, D, E, G, I, J, and N have thickness ranging from 11m to 32m, with Zone E being the thickest and
Zone A, F, H, K, L, and M have thicknesses below 10m, with Zone K being the smallest (2m thick). The
thick reservoirs indicate regressive sequences of sandstone and the shales, of up to 185m, represent the
transgressive sequences.
Table 2. Reservoir parameters obtained from parameters digitised from logs for Zone B
Depth (m)
Calculated
Porosity
(v/v)
Effective
Porosity
(v/v)
Shale
volume
(v/v)
Water
Saturation
(v/v)
Hydrocarbon
saturation
(v/v)
Permeability
(md)
Bulk
Volume
Water
2457.0 0.308 0.291 0.019 0.082 0.918 1271.6 0.025
2457.9 0.302 0.285 0.010 0.130 0.870 1088.0 0.039
2458.8 0.306 0.289 0.008 0.077 0.923 1207.1 0.024
2459.6 0.310 0.292 0.008 0.058 0.942 1317.4 0.018
2460.5 0.300 0.283 0.001 0.059 0.941 1035.7 0.018
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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2461.4 0.310 0.293 0.004 0.055 0.945 1325.7 0.017
2462.3 0.293 0.275 0.008 0.055 0.945 850.3 0.016
2463.2 0.300 0.283 0.016 0.066 0.934 1023.7 0.020
2464.0 0.307 0.290 0.009 0.055 0.945 1246.1 0.017
2464.9 0.289 0.271 0.013 0.049 0.951 760.8 0.014
2465.8 0.317 0.300 0.011 0.043 0.957 1580.3 0.014
2466.7 0.319 0.302 0.006 0.043 0.957 1655.8 0.014
2467.6 0.321 0.304 0.002 0.043 0.957 1753.5 0.014
2468.4 0.319 0.302 0.013 0.052 0.948 1670.0 0.017
2469.3 0.310 0.293 0.033 0.120 0.880 1344.2 0.037
2470.2 0.319 0.302 0.008 0.104 0.896 1672.1 0.033
2471.1 0.304 0.287 0.008 0.095 0.905 1139.6 0.029
2472.0 0.254 0.236 0.058 0.061 0.939 273.7 0.015
2472.8 0.202 0.182 0.291 0.137 0.863 43.3 0.028
2473.7 0.168 0.148 0.217 0.187 0.813 10.1 0.032
2474.6 0.346 0.330 0.034 0.092 0.908 3194.0 0.032
2475.5 0.343 0.327 0.044 0.109 0.891 2984.0 0.037
2476.4 0.298 0.280 0.149 0.170 0.830 964.0 0.051
2477.2 0.298 0.281 0.141 0.176 0.824 975.4 0.053
2478.1 0.337 0.320 0.058 0.157 0.843 2570.1 0.053
2479.0 0.317 0.300 0.124 0.168 0.832 1593.9 0.053
Average 0.300 0.282 0.050 0.094 0.906 1328.9 0.028
Max. 0.346 0.330 0.291 0.187 0.957 3194.0 0.053
Min. 0.168 0.148 0.001 0.043 0.813 10.1 0.014
Table 3. Reservoir parameters obtained from parameters digitized from logs for Zone D
Depth (m)
Calculated
Porosity
(v/v)
Effective
Porosity
(v/v)
Shale
volume
(v/v)
Water
Saturation
(v/v)
Hydrocarbon
saturation
(v/v)
Permeability
(md)
Bulk
Volume
Water
2512.0 0.209 0.197 0.062 0.375 0.625 56.4 0.078
2512.7 0.324 0.319 0.018 0.168 0.832 1910.8 0.054
2513.5 0.357 0.350 0.020 0.169 0.831 4123.4 0.060
2514.2 0.312 0.305 0.024 0.147 0.853 1401.0 0.046
2514.9 0.283 0.280 0.014 0.238 0.762 649.5 0.068
2515.7 0.196 0.182 0.082 0.279 0.721 34.0 0.055
2516.4 0.261 0.255 0.025 0.238 0.762 338.3 0.062
2517.2 0.270 0.263 0.025 0.246 0.754 434.3 0.066
2517.9 0.257 0.252 0.022 0.278 0.722 295.8 0.071
2518.6 0.246 0.241 0.023 0.297 0.703 208.9 0.073
2519.4 0.244 0.240 0.017 0.308 0.692 193.2 0.075
2520.1 0.210 0.206 0.020 0.262 0.738 58.5 0.055
2520.8 0.225 0.220 0.025 0.268 0.732 102.0 0.060
2521.6 0.210 0.207 0.017 0.262 0.738 59.1 0.055
2522.3 0.189 0.184 0.032 0.258 0.742 25.7 0.049
2523.1 0.216 0.211 0.025 0.288 0.712 74.3 0.062
2523.8 0.197 0.192 0.026 0.266 0.734 35.1 0.052
2524.5 0.199 0.194 0.029 0.200 0.800 38.2 0.040
2525.3 0.201 0.198 0.017 0.363 0.637 41.8 0.073
2526.0 0.219 0.215 0.017 0.634 0.366 82.2 0.139
2526.7 0.222 0.220 0.012 0.672 0.328 93.2 0.149
2527.5 0.237 0.234 0.011 0.662 0.338 152.9 0.156
2528.2 0.225 0.222 0.016 0.654 0.346 103.3 0.147
2528.9 0.237 0.234 0.012 0.655 0.345 154.9 0.155
2529.7 0.233 0.231 0.010 0.643 0.357 134.1 0.150
2530.4 0.225 0.215 0.049 0.713 0.287 103.1 0.161
2531.2 0.223 0.213 0.048 0.672 0.328 95.0 0.150
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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2531.9 0.237 0.234 0.014 0.626 0.374 153.9 0.148
2532.6 0.231 0.228 0.013 0.774 0.226 125.8 0.179
2533.4 0.236 0.232 0.019 0.719 0.281 147.9 0.169
2534.1 0.162 0.128 0.242 0.529 0.471 7.3 0.086
2534.8 0.205 0.195 0.055 0.500 0.500 48.5 0.103
2535.6 0.224 0.220 0.022 0.515 0.485 99.2 0.115
2536.3 0.246 0.243 0.013 0.727 0.273 206.0 0.178
2537.1 0.245 0.241 0.018 0.731 0.269 205.3 0.179
2537.8 0.227 0.223 0.022 0.654 0.346 110.7 0.148
2538.5 0.224 0.220 0.018 0.666 0.334 97.4 0.149
2539.3 0.209 0.201 0.043 0.579 0.421 56.1 0.121
2540.0 0.060 0.049 0.290 0.207 0.793 0.0 0.012
Average 0.229 0.223 0.038 0.447 0.553 314.3 0.101
Max. 0.357 0.350 0.290 0.774 0.853 4123.4 0.179
Min. 0.060 0.049 0.010 0.147 0.226 0.0 0.012
Table 4. Reservoir parameters obtained from parameters digitized from logs for Zone E
Depth
(m)
Calculated
Porosity
(v/v)
Effective
Porosity
(v/v)
Shale
volume
(v/v)
Water
Saturation
(v/v)
Hydrocarbon
saturation
(v/v)
Permeability
(md)
Bulk
Volume
Water
2615.0 0.176 0.141 0.230 0.316 0.684 14.7 0.056
2615.7 0.262 0.197 0.266 0.307 0.693 341.8 0.080
2616.4 0.301 0.259 0.148 0.143 0.857 1042.5 0.043
2617.1 0.224 0.137 0.425 0.223 0.777 100.1 0.050
2617.8 0.204 0.116 0.480 0.292 0.708 46.3 0.060
2618.5 0.251 0.196 0.238 0.290 0.710 246.8 0.073
2619.2 0.158 0.117 0.303 0.357 0.643 6.2 0.057
2619.9 0.169 0.124 0.301 0.335 0.665 10.3 0.057
2620.6 0.273 0.203 0.277 0.198 0.802 487.3 0.054
2621.3 0.167 0.107 0.409 0.289 0.711 9.3 0.048
2622.0 0.171 0.132 0.262 0.347 0.653 11.4 0.059
2622.7 0.157 0.127 0.219 0.237 0.763 5.7 0.037
2623.3 0.311 0.269 0.144 0.131 0.869 1369.7 0.041
2624.0 0.321 0.263 0.193 0.102 0.898 1775.0 0.033
2624.7 0.334 0.296 0.121 0.084 0.916 2436.2 0.028
2625.4 0.350 0.328 0.066 0.076 0.924 3478.4 0.027
2626.1 0.345 0.310 0.107 0.070 0.930 3147.4 0.024
2626.8 0.333 0.295 0.121 0.069 0.931 2379.9 0.023
2627.5 0.328 0.288 0.127 0.071 0.929 2090.2 0.023
2628.2 0.345 0.297 0.145 0.069 0.931 3126.2 0.024
2628.9 0.329 0.306 0.074 0.061 0.939 2137.9 0.020
2629.6 0.325 0.301 0.076 0.062 0.938 1926.9 0.020
2630.3 0.336 0.316 0.063 0.059 0.941 2519.9 0.020
2631.0 0.338 0.313 0.078 0.053 0.947 2642.5 0.018
2631.7 0.333 0.311 0.071 0.061 0.939 2385.5 0.020
2632.4 0.332 0.300 0.101 0.059 0.941 2322.0 0.020
2633.1 0.307 0.282 0.085 0.060 0.940 1222.5 0.018
2633.8 0.342 0.310 0.096 0.067 0.933 2906.8 0.023
2634.5 0.329 0.308 0.069 0.064 0.936 2143.0 0.021
2635.2 0.352 0.337 0.044 0.057 0.943 3640.8 0.020
2635.9 0.353 0.336 0.050 0.052 0.948 3739.0 0.018
2636.6 0.339 0.326 0.040 0.047 0.953 2691.8 0.016
2637.3 0.353 0.343 0.030 0.040 0.960 3797.3 0.014
2638.0 0.344 0.334 0.031 0.044 0.956 3031.9 0.015
2638.7 0.340 0.332 0.024 0.040 0.960 2760.8 0.014
2639.3 0.304 0.295 0.032 0.034 0.966 1138.1 0.010
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
12
2640.0 0.286 0.283 0.014 0.031 0.969 706.1 0.009
2640.7 0.229 0.222 0.036 0.036 0.964 119.7 0.008
2641.4 0.361 0.353 0.023 0.036 0.964 4507.7 0.013
2642.1 0.351 0.345 0.018 0.044 0.956 3568.7 0.015
2642.8 0.352 0.344 0.025 0.043 0.957 3677.4 0.015
2643.5 0.356 0.349 0.018 0.047 0.953 3985.7 0.017
2644.2 0.261 0.229 0.134 0.103 0.897 335.7 0.027
2644.9 0.225 0.203 0.107 0.101 0.899 101.2 0.023
2645.6 0.237 0.211 0.121 0.121 0.879 157.5 0.029
2646.3 0.185 0.137 0.295 0.091 0.909 21.5 0.017
2647.0 0.137 0.103 0.292 0.191 0.809 1.9 0.026
Average 0.288 0.256 0.141 0.122 0.878 1708.8 0.029
Max. 0.361 0.353 0.480 0.357 0.969 4507.7 0.080
Min. 0.137 0.103 0.014 0.031 0.643 1.9 0.008
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
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C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
14
Figure 6a. Neutron-density plot for the determination of
lithology and saturation type, for Zone B
Figure 7b. Pickett plot (saturation crossplot or resistivity-porosity crossplot, with BVW) illustrating water-bearing
and hydrocarbon-bearing zones and BVW for Zone B
Figure 8c. Buckles plots of water saturation against porosity in determining BVW and irreducible water
saturation for Zone B
Figure 7a. Neutron-density plot for the determination of
lithology and saturation type, for Zone D
Figure 7b. Pickett plot (saturation crossplot or resistivity-porosity crossplot, with BVW) illustrating water-bearing
and hydrocarbon-bearing zones and BVW for Zone D
Figure 7c. Buckles plots of water saturation against porosity in determining BVW and irreducible water
saturation for Zone D
0.01
0.1
1
0.01 0.1 1 10 100 1000
po
rosi
ty, v
/v
Resistivity, Ωm
Pickett Plot with BVW
Sw = 1
Sw =0.8
Sw =0.6
Sw =0.4
Sw =0.2
BVW =0.05
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
Po
rosi
ty, v
/v
Sw, v/v
Buckles Plot - Linear
BVW=0.05
BVW=0.07
BVW= 0.1
BVW=0.15
0.01
0.1
1
0.01 0.1 1 10 100 1000
po
rosi
ty, v
/v
Resistivity, Ωm
Pickett Plot with BVW
Sw =1
Sw =0.8
Sw =0.6
Sw =0.4
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
Po
rosi
ty, v
/v
Sw, v/v
Buckles Plot - Linear
BVW =0.05
BVW =0.07
BVW =0.1
BVW =0.15
BVWirr= 0.04
Data
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
15
Figure 8a. Neutron-density plot for the determination of
lithology and saturation type, for Zone E
Figure 8b. Pickett plot (saturation crossplot or resistivity-porosity crossplot, with BVW) illustrating water-bearing
and hydrocarbon-bearing zones and BVW for Zone E
Figure 8c. Buckles plots of water saturation against porosity in determining BVW and irreducible water
saturation for Zone E
Figure 9. A Chart showing the variation of porosity,
formation water resistivity, water saturation and hydrocarbon saturation from Zone A to Zone N
Figure 10. A graph of permeability variation from Zone A
to Zone N
Figure 11. Chart showing the variation of the various
reservoirs thicknesses and pay zones thicknesses
0.01
0.1
1
0.01 0.1 1 10 100 1000
po
rosi
ty, v
/v
Resistivity, Ωm
Pickett Plot with BVW
Sw = 1
Sw =0.8
Sw =0.6
Sw =0.4
Sw =0.2
0
0.2
0.4
0.6
0.8
1
0 0.5 1
Po
rosi
ty, v
/v
Sw, v/v
Buckles Plot - Linear BVW=0.05
BVW=0.07
BVW= 0.1
BVW=0.15
BVWirr =0.04
Data
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
23
02
-231
0
24
57
-247
9
24
91
-250
9
25
12
-254
0
26
15
-264
7
27
14
-272
2
29
06
-291
7
29
26
-293
5
29
80
-299
4
30
12
-302
4
30
28
-303
0
30
91
-309
8
32
22
-322
6
32
31
-324
6
Reservoir Interval (m)
Variation of Petrophysical Parameters with Reservoirs Depth Porosity
Water Sat.
HC Sat.
Shale Volume
Rw
Trendline forporosityTrendline forWater Sat.Trendline forHC Sat.Trendline forVshTrendline forRw
0.0
200.0
400.0
600.0
800.0
1000.0
1200.0
1400.0
1600.0
1800.0
230
2-2
310
245
7-2
479
249
1-2
509
251
2-2
540
261
5-2
647
271
4-2
722
290
6-2
917
292
6-2
935
298
0-2
994
301
2-3
024
302
8-3
030
309
1-3
098
322
2-3
226
323
1-3
246
Pe
rmea
bili
ty (
md
)
Reservoir interval (m)
Variation of Permeability with Reservoirs Depth
Permeability
0
5
10
15
20
25
30
35
A B C D E F G H I J K L MN
Reserv
oir
's t
hic
kn
ess (
m)
Reservoir zone
Reservoir zones vs Gross, Net thicknesses
Gross thickness
Pay zone's thickness
C.M. Agyingia et al., IJPGE, Vol. (2021), Article ID: IJPGE-2107082112366, 18 pages
16
4. Discussion
This study reveals that Well U4 consists of sandstone beds alternating with shales, which
corresponds to the Agbada Formation [12]. Generally, the reservoirs’ average shale volumes are very
low (ranging from 0.033 to 0.161), and similar values were determined by [21]. The resistivity values of
formation water for the various reservoir depths are similar to those of [22]. This research also reveals
that all the reservoirs studied at depth intervals of 2302m and 3246m, are saturated with hydrocarbons
and all, except two reservoirs are saturated entirely with natural gas. The high occurrence of gas in the
study area could be attributed to the remigration induced by tilting of reservoir beds during the latter
history of deposition within the down dip portion of the depo-belt, up dip flushing of accumulations by
gas generated at higher maturity, and/or heterogeneity of source rock type, as speculated by [14].
Natural gas is derived from Type III kerogen which is formed from terrestrial materials, with origin from
fibrous and woody plant fragments and structure less colloidal humic matter [23], and since the Agbada
Formation is made of paralic sediments, i.e. mixed continental, brackish water and marine deposits, the
Agbada Formation might be the source of this high occurrence of gas. The occurrences of oil in Zone D
and E are small relative to the gas-bearing zones in the two reservoirs. This is also an indication of
terrestrial origin of the hydrocarbons. The water saturations are relatively low, consequently giving the
reservoirs high hydrocarbon saturations; ranging from 55.3% to 90.6%. This low water saturation can
be due to tilting nature of the traps as speculated by [12] and also be attributed to the fact that where
there is the generation of Type III kerogen, there is little liquid hydrocarbon generating capacity [23].
These source rocks (shale) must have been subjected to maturation temperatures (> 175ºC) for a
considerable length of time for gas generation [24]. Possible hydrocarbon sources include variable
contributions from the marine interbedded shale in the Agbada Formation and the marine Akata shale,
and Cretaceous shale [2, 3, 11, 14, 25-27].
5. Conclusion
The results of the petrophysical evaluation show that delineated reservoir units have average
porosities ranging from 16.0% to 30.8%, reservoir’s average permeability values from 255.2md to
1708.8md, and very low shale volume values; which are indications of suitable reservoir qualities.
Hydrocarbon saturations range from 55.3% to 90.6%, implying high hydrocarbon potential. In addition
to the petrophysical parameters, the thicknesses of the reservoirs ranging from 2m-32m, suggest high
hydrocarbon potential. Therefore, with these suitable reservoir conditions and high hydrocarbon
saturations, this area seems satisfactory for hydrocarbon (gas) exploitation. Despite these favorable
reservoir conditions, decisions on economic production of hydrocarbon should not be based solely on
wireline logs.
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