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Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis

Ezeobi Chika Franklin1 , Egwuonwu Gabriel Ndubuisi2 , Chibuogwu Ikechukwu Udoka3

  1. Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Nigeria.
  2. Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Nigeria.
  3. Physics and Industrial Physics, Nnamdi Azikiwe University, Awka, Nigeria.

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.1 , pp.7-16, Feb-2023


Online published on Feb 28, 2023


Copyright © Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka, “Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis,” International Journal of Scientific Research in Physics and Applied Sciences, Vol.11, Issue.1, pp.7-16, 2023.

MLA Style Citation: Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka "Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis." International Journal of Scientific Research in Physics and Applied Sciences 11.1 (2023): 7-16.

APA Style Citation: Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka, (2023). Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis. International Journal of Scientific Research in Physics and Applied Sciences, 11(1), 7-16.

BibTex Style Citation:
@article{Franklin_2023,
author = {Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka},
title = {Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis},
journal = {International Journal of Scientific Research in Physics and Applied Sciences},
issue_date = {2 2023},
volume = {11},
Issue = {1},
month = {2},
year = {2023},
issn = {2347-2693},
pages = {7-16},
url = {https://www.isroset.org/journal/IJSRPAS/full_paper_view.php?paper_id=3043},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRPAS/full_paper_view.php?paper_id=3043
TI - Reservoir Identification in Bornu Basin, Northeastern Nigeria Based on Well Log Analysis
T2 - International Journal of Scientific Research in Physics and Applied Sciences
AU - Ezeobi Chika Franklin, Egwuonwu Gabriel Ndubuisi, Chibuogwu Ikechukwu Udoka
PY - 2023
DA - 2023/02/28
PB - IJCSE, Indore, INDIA
SP - 7-16
IS - 1
VL - 11
SN - 2347-2693
ER -

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Abstract :
The successful hydrocarbon exploration activities in Chadian and Nigerien sector of Chad basin has led to increase in exploration in Nigerian sector (Bornu basin). The geology of the Bornu basin is similar to that of the contiguous Termit basin in Niger and Chad Republics where commercial oil discoveries has been made. Major source and reservoir rocks in the Termit basin occur in continental Aptian to Cenomanian deposits of the Abu Gabra and Bentiu formations respectively which is correlated Bima Sandstone in the Bornu basin. Well log data was utilized to identify reservoir zones in Bornu basin, three reservoirs were identified in the study area (Bornu basin) with the aid of Gamma log (GR), Resistivity log (ILD), Density (RHOB) and Neutron Porosity log (NPHI). Petrophysical calculations were done employing the Archie’s equation. Reservoir 2 across Kanadi well is at depth interval of 1010 – 1050 m, Volume of Shale of 0.140, Total Porosity (?T) of 0.38, Formation Water Resistivity (Rw) of 0.26 ?m, Permeability (K) of 0.55 and Hydrocarbon Saturation (Sh) of 72.2%. Reservoir 2 across Kinasar well is at interval of 950 -980 m, Volume of Shale (Vshale) of 0.280, Total Porosity (?T) of 0.39, Formation Water Resistivity (Rw) of 0.28 ?m, Permeability (K) of 0.67 and Hydrocarbon Saturation of 72%. Porosity and Resistivity cross-plot was generated for the wells showing hydrocarbon zone in the Kinasar well.

Key-Words / Index Term :
Bornu Basin, Hydrocarbon, Lithology, Gamma Ray, Resistivity, Porosity, Density, Formation Factor, Petrophysics, Volume of Shale, Permeability.

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