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Analyses Of Structural Trends in Bornu Basin Using Some Selected Seismic Attributes
Subject area: Physical Sciences and Environment · Area of research: Geophysics
DOI: https://doi.org/10.64388/IREV10I2-1722164
Abstract
Analyses of structural trends in Bornu basin was carried out using Coherence, Variance, and Curvature Seismic attributes with the aim of understanding the structural features in the basin which are suitable for hydrocarbon accumulation. The Coherence, Variance and Curvature attributes analysis also aim in identifying, analyzing and interpreting Structural Trends in the Basin optimally. Firstly 3-D seismic data of the basin was integrated with well data. Hence lithostratigraphic interpretation, seismic structural analyses, seismic attributes analyses and prospects identification at the Basin were carried out using Schlumberger`s petrel 2017 interpretation software. The lithostratigraphic interpretation showed that the study area is characterized by sand- shale interbedding. Lithologic correlation carried out showed the presence of a basin and intra-reservoir seals. The Structural analysis revealed various types of faults such as normal faults, Listric, also fold such as the anticline where older rocks are formed, which also help in hydrocarbon trapping. The use of Coherence and Curvature attributes shows that Coherence and Variance Attribute are the most effect and efficient attributes in revealing the hydrocarbon potential in the Basin.
References
[1] Alalade, B., and Tyson, R. V. (2010). Hydrocarbon Potential of the Late Cretaceous Gongila and Fika Formations, Bornu (Chad) Basin, Northeastern Nigeria. Journal of Petroleum Geology, 33(4), 339–353.
[2] Aminu, S. A and Whiteworth, M. (2016). Integrated well log and 2-D seismic data interpretation to image subsurface stratigraphy and structure in Northeastern Bornu Basin: Journal of African Earth Science, 121: 1 – 15.
[3] Avbovbo, A.A., Ayoola, E.O., Osahon, S.A., (1986). Depositional and structural styles in Chad Basin of Northeastern Nigeria: AAPG 70(121):1787–1798 Azevedo, L., Ruben F. N., Jose, A. A., Luís, M. P., Maria, H. C., Pedro, J. C. and Amílcar, S. (2012). Seismic Attributes for Constraining Geostatistical Seismic Inversion: ninth International Geostatistics Congress, Oslo, Norway. Conference paper, 1-11.
[4] Hamza, I. and Hamidu, I. (2012). Hydrocarbon resource potential of the Bornu basin northeastern Nigeria. Global Journal of Geological Sciences, 10(1).
[5] Obaje, N. G., Wehner, H and Scheeder, G. (2004). Hydrocarbon prospectivity of Nigeria’s inland basins: From the viewpoint of organic geochemistry and organic petrology. AAPG Bulletin, 2004, 87: 325–353
[6] Schlumberger (2017). Interpreter’s guide to seismic attributes manual, Schlumberger.
[7] Umeghalu Christian Okechukwu, earned his B.sc and M.sc in Physics and Industrial Physics in 2017 and 2023 respectively and also a current Ph.d student. A member of Isroset from May 2023 And also an assistance lecturer in Nnamdi Azikiwe University, Awka.
[8] Egwuonwu G.N earned his B.sc, M.sc, and Ph.d in Physics and Industrial Physics in 1996, 2000, and 2006, respectively. He has 50 researched papers in solid earth geophysics in reputed international journal including pacific journal of science, he has 22 years of teaching experiences. And a Professor in the department of Physics and Industrial Physics, Nnamdi Azikiwe University, Awka.
How to cite this paper
@article{1722164,
author = {Umeghalu Christian Okechukwu, Prof. Egwuonwu G.N.},
title = {Analyses Of Structural Trends in Bornu Basin Using Some Selected Seismic Attributes},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {2},
pages = {871-878},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722164.pdf},
abstract = {Analyses of structural trends in Bornu basin was carried out using Coherence, Variance, and Curvature Seismic attributes with the aim of understanding the structural features in the basin which are suitable for hydrocarbon accumulation. The Coherence, Variance and Curvature attributes analysis also aim in identifying, analyzing and interpreting Structural Trends in the Basin optimally. Firstly 3-D seismic data of the basin was integrated with well data. Hence lithostratigraphic interpretation, seismic structural analyses, seismic attributes analyses and prospects identification at the Basin were carried out using Schlumberger`s petrel 2017 interpretation software. The lithostratigraphic interpretation showed that the study area is characterized by sand- shale interbedding. Lithologic correlation carried out showed the presence of a basin and intra-reservoir seals. The Structural analysis revealed various types of faults such as normal faults, Listric, also fold such as the anticline where older rocks are formed, which also help in hydrocarbon trapping. The use of Coherence and Curvature attributes shows that Coherence and Variance Attribute are the most effect and efficient attributes in revealing the hydrocarbon potential in the Basin.},
month = {August},
doi = {https://doi.org/10.64388/IREV10I2-1722164}
}