Source Rock Evaluation in The Lake Chad Area of the Bornu Basin, Nigeria

Sunday, Ola Peter; Adeyinka, Adekoya John; Ojo, Olabode Solomon

doi:10.4172/2157-7463.1000346

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…The Z t (2.92-6.55 km) which is somewhat depth to magnetic basement (Lawal and Nwankwo, 2017) agrees relatively well with the SPI and SED result (Figure 5). These depth results correlate strongly with the depth assessment results in the Bornu Basin by Ola et al (2017), Nwankwo et al (2012) andGenik (1993). However, estimated sediment thickness of over 10 km reported by Avbovbo et al (1986) is not supported by the findings of this study.…”

Section: Discussion Of Resultssupporting

confidence: 86%

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Ekwok¹,

Achadu²,

Ugar³

et al. 2023

Glo Jnl Geo Sci

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The Bornu Basin in northeast Nigeria was studied using high-resolution airborne magnetic data with the objective of improving the reliability of mapped magnetic and geothermal anomalies, and depth solutions. Necessary enhancement operations like analytic signal (ASIG), upward continuation, depth assessment methods involving standard Euler deconvolution (SED) and source parameter imaging (SPI) as well as spectral analysis applying the centroid technique were applied. The middle and southern parts are dominated by high frequency anomalies as revealed by the ASIG map. Furthermore, the magnetic data, when upward continued to 5 km, revealed avalanche of deeply buried igneous intrusions that created near-surface magnetic sources and geologic structures. Maximum thicknesses of sedimentary series estimated from SED and SPI, are respectively ~5974.7 and ~5885.3 m. These values correlate correlated relatively well with depth to the top boundary (Zt) of ~6550 m obtained from the centroid technique. These depth estimates reveal sequence of thick sediments overlying igneous intrusions and falls under the prospective geothermal anomaly zones characterised by high geothermal gradient (GG) (>55 °C/km) and heat flow (HF) (>130 mW/m2) values. Areas characterised by high geothermal anomalies correspond to igneous intrusion-dominated shallow Curie point depths (CPD or Zb).

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Section: Discussion Of Resultssupporting

confidence: 86%

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Ekwok¹,

Achadu²,

Ugar³

et al. 2023

Glo Jnl Geo Sci

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“…Our model also shows that the Fika formation (Figure 8(c)) is the thickest layer in the LBB and reaches 2000 m in the CLBB. Similar results were found in exploration wells east of the Bornu basin close to the CLBB [12] [14].…”

Section: Stratigraphic Sequences and Hydrocarbonssupporting

confidence: 84%

“…Consequently, limited detailed work has been done to improve our understanding of the geological structure of the Logone Figure 1. (a) Simplified geological map and location of the study area modified after Eyike and Ebbing [8]; (b) The Stratigraphy of the LBB [14]. Open Journal of Geology Birni basin.…”

Section: Introductionmentioning

confidence: 99%

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Depositional and Structural Styles in the Logone Birni Basin (LBB), Northern Cameroon, from 3D Potential Field Modeling: Preliminary Results

Mkoumbe¹,

Eric²,

Albert³

et al. 2019

OJG

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A three-dimensional model of the Logone Birni Basin (LBB) is presented by combining gravity and magnetic data and constrained by broad seismic profiles. The 3-D model has revealed the distribution of the stratigraphic formations as well as the top basement variation. Detailed structure of different stratigraphic sequences is presented for the first time for this basin and some of the sequences correlate with established sequences of the neighboring basins. The sediments pill consists of six sedimentary units dating from the Neocomian to the Quartenary. The Makary subbasin or Northern Logone Birni Basin (NLBB) is the deepest part of the basin and may hold good prospect for hydrocarbon generation and accumulation. However, the limited presence of faults and intrusive bodies decreases the possibility of thermal degeneration, contrary to the Central Logone Birni Basin (CLBB) where conditions seem to be fulfilled for possible hydrocarbon generation and maturity. The complexity of the structural pattern of the model is further enhanced by the presences of volcanic bodies, some of which lay directly on basement or interbedded with the sediments layers mainly in the CLBB.

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“…Over the past few years, there have been intensive studies on various areas of the basin. Ola et al (2017) evaluated the potential of the source rock at the south-western section of the basin using rock samples from three different wells. The authors identified the area to be predominantly gasprone with oil shows in one of the wells.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic approach for shale volume estimation in Bornu Basin of Nigeria

Adjei¹,

Wilberforce²,

Opoku³

et al. 2019

J. Petroleum Gas Eng.

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The gamma ray log has over the years provided the conventional means for shale volume (Vsh) estimation. Knowledge of Vsh is used in the prediction of petrophysical parameters like effective porosity and water saturation, which are the input parameters for the calculation of oil in place. Currently, many studies have been conducted on the Bornu Basin of Nigeria, to access its hydrocarbon potential. Unfortunately, the practice of using best gamma ray log value for the computation of gamma ray index, I GR , and subsequently Vsh estimation incorporates huge uncertainty in the estimated volumes. Uncertainty is best captured when estimates are represented in a possible range rather than single value measurements. To the best of our knowledge, this is the first time shale volume has been estimated from the gamma ray log using sampling techniques. The gamma ray log data of the two upper shaly intervals of the NGAMMAEAST_1 well, which penetrates the Gombe formation of the basin, were utilized for this study. The gamma ray log response of the zone of interest is the uncertain parameter in Vsh estimation. A histogram plot of the uncertain log data was used to assume the probability distribution of the data. In the MATLAB platform, Standard Monte Carlo (MC) and Latin Hypercube sampling techniques were used to model the uncertain log response using random numbers. Possible input log data generated from the distribution of the uncertain log data were used in the linear and non-linear models for shale volume estimation to run a series of simulations to determine the possible range of estimates with their probabilities. The Latin hypercube method has shown to be a quick and accurate alternative method to the standard MC method. The approach presented here sets a guideline for the implementation of a probabilistic approach for the volume of shale estimation.

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Source Rock Evaluation in The Lake Chad Area of the Bornu Basin, Nigeria

Cited by 4 publications

References 20 publications

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Depositional and Structural Styles in the Logone Birni Basin (LBB), Northern Cameroon, from 3D Potential Field Modeling: Preliminary Results

Probabilistic approach for shale volume estimation in Bornu Basin of Nigeria

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