Seismic attribute analysis for oil field characterization in Côte d’Ivoire sedimentary basin
https://doi.org/10.21285/2686-9993-2025-48-4-406-417
EDN: CUPPPI
Abstract
A seismic attribute can be defined as any parameter or observation retrieved from available seismic data that directly or indirectly enhances and deepens understanding of data processing and interpretation in hydrocarbon exploration. Indeed, seismic attributes contribute to better understanding of geological structures, petrophysical properties, fluid content and their differentiation in a simplified but more detailed form that enables the determination of their presence in reservoirs as well as the spatiotemporal distribution of subsurface geological elements. This work studies the application of various seismic attributes to identify and describe the oil and gas potential of the license area. This site is characterized as a deepwater alluvial fan on the end-slope fan on the Turonian stage based on regional seismic data, whereas the 3D seismic data clearly determining the boundaries of the stratigraphic trap indicate the likelihood of hydrocarbon saturation. Analysis of dynamic characteristics of seismic waves confirmed the presence of oil and gas-bearing indicators that imply the high potential of the reservoir. The study showed how seismic attributes retrieved from 3D seismic data can qualitatively provide valuable information about subsurface geological features. This, research is highly promising for hydrocarbon exploration based on the results of the combined seismic attribute analysis. However, even if this study is deemed sufficient for drilling an exploratory well, it may be useful to propose other geophysical methods to be integrated into this study that could improve the assessment. For example, electrical methods are known for their effectiveness in direct detecting of fluids in reservoirs and have proven their efficiency in Western Siberia, Russia.
About the Authors
D. L. A. OnamounRussian Federation
Désiré Lucien Ayémoun Onamoun, Postgraduate Student, Siberian School of Geosciences
Irkutsk
Competing Interests:
The authors declare no conflict of interests.
A. G. Dmitriev
Russian Federation
Alexander G. Dmitriev, Dr. Sci. (Geol. & Mineral.), Professor, Consulting Professor of the Geophysics Department, Siberian School of Geosciences
Irkutsk
Competing Interests:
The authors declare no conflict of interests.
References
1. Onamoun D.L.A., Dmitriev A.G. Identification of Côte D’Ivoire basin turbidite reservoirs and their characteristics prediction based on 3D seismic survey. Earth sciences and subsoil use. 2025;48(1):88-100. (In Russ.). https://doi.org/10.21285/2686-9993-2025-48-1-88-100. EDN: JEDUPM.
2. Taner T.M. Seismic attributes, their classification and projected utilization In: Rock solid Images: Proceedings of the 6th International Congress of the Brazilian Geophysical Society. August 1999, Houston – Texas. Houston – Texas: European Association of Geoscientists & Engineers; 1999, SBGf39699, p. 215-321. https://doi.org/10.3997/2214-4609-pdb.215.sbgf396.
3. Chopra S., Marfurt K.J. Seismic attributes – A historical perspective: 75th Anniversary Society of Exploration Geophysicists 1930–2005. Geophysics. 2005;70(5):3SO-28SO. https://doi.org/10.1190/1.2098670.
4. Onamoun D.L.A., Dmitriev A.G. Results of 3D seismic surveying for hydrocarbons in the gulf of Guinea. Earth sciences and subsoil use. 2024;47(4):430-441. (In Russ.). https://doi.org/10.21285/2686-9993-2024-47-4-430-441. EDN: TTLTBO.
5. Bancroft J.C. Review of seismic imaging: Prestack. CREWES Research Report. 2001;13:551-571.
6. Geiger H.D. Data preparation for prestack depth migration. CREWES Research Report. 2004;16:1-13.
7. Rauch-Davies M., Sutherland S., Bradshaw M., Codd J., Kessler D. Use of prestack depth migration for improving the accuracy of horizontal drilling in unconventional reservoirs. The Leading Edge. Special Section: Advancements in 3D seismic processing. 2018;1:21-32. https://doi.org/10.1190/tle37010027.1.
8. Wang Y. Seismic inversion: theory and applications. London: Imperial College; 2017, 26 p. https://doi.org/10.1002/9781119258032.
9. Atse Y.D.B., Kotenev Yu.A., Sultanov Sh.Kh., Umetbaev V.G. The oil-and-gas potential of the Cote D’Ivoire sedimentary basin: a case study of the CI-202 block licence area. Herald of the Academy of Sciences of the Republic of Bashkortostan. 2019;33(4):5-13. (In Russ.). https://doi.org/10.24411/1728-5283-2019-10401. EDN: OTGQCD.
10. Appiah M.K., Danuor S.K., Bedu-Addo S., Bienibuor A.K. Turbidite dynamics and hydrocarbon reservoir formation in the Tano basin: A coastal West African perspective. International Journal of Geosciences, 2024;15:137-161. https://doi.org/10.4236/ijg.2024.152010.
11. Li C., Li W., Ye H., Zhu Q., Shan X., Wang S., et al. Reservoir architecture of Turbidite Lobes and remaining oil distribution: A study on the B formation for Z oilfield of the Illizi Basin, Algeria. Processes. 2025;13(3):805. https://doi.org/10.3390/pr13030805.
12. Cheng J., He X., Duan D., Li J. Turbidite fan deposits in gentle slope zones of continental faulted basins: A case study from the Chezhen depression, Bohai Bay basin. Processes. 2023;11(7):2001. https://doi.org/10.3390/pr11072001.
13. Bouma A.H. Sedimentology of some Flysch deposits. A graphic approach to facies interpretation. Amsterdam – New York: Elsevier; 1962, 168 p. 14. Li A., Xu F., Xu G., Fan C., Li M., Jiang F., et al. Controlling effects of complex fault systems on the oil and gas system of buried hills: A case study of Beibuwan basin, China. Journal of Marine Science and Engineering. 2025;13(8):1472. https://doi.org/10.3390/jmse13081472.
14. Alarfaj M., Lawton D.C. Interpreting fault-related gas leakage. CREWES Research Report. 2012;24:1-10. 16. Feng H., Bancroft J.C. AVO principles, processing and inversion. CREWES Research Report. 2006;18:1-19.
15. Huang H.-D., Wang Y.-C., Guo F., Zhang S., Ji Y.-Z., Liu C.-H. Zoeppritz equation-based prestack inversion and its application in fluid identification. Applied Geophysics. 2015;12(2)199-211. https://doi.org/10.1007/s11770-015-0483-3.
16. Young R.A., LoPiccolo R.D. A comprehensive AVO classification. The Leading Edge. 2003;22(10)1030-1037. https://doi.org/10.1190/1.1623645.
17. Ekwe A.C., Onuoha K.M., Osayande N. Fluid and lithology discrimination using rock physics modelling and LambdaMuRho inversion: an example from Onshore Niger Delta, Nigeria. In: Adapted from extended abstract prepared in conjunction with oral presentation at American Association of Petroleum Geologists International conference and exhibition. 23–26 October 2011, Milan. Milan; 2012, p. 40865.
18. Ayman M.A., Sudarmaji S., Trisna M.D. Petrophysical analysis and seismic attribute for reservoir characterization in “AMN” field, Talang Akar formation, South Sumatra basin. Jurnal Penelitian Fisika dan Aplikasinya. 2024;14(1)1-18. https://doi.org/10.26740/jpfa.v14n1.p1-18.
19. El-Sayed A.S., Mabrouk W.M., Metwally A.M. Pre-stack seismic inversion for reservoir characterization in Pleistocene to Pliocene channels, Baltim gas field, Nile Delta, Egypt. Scientific Reports. 2025;15(1):1180. https://doi.org/10.1038/s41598-024-75015-x.
20. Ogbamikhumi A., Igbinigie N.S. Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field Onshore Niger Delta Basin. Journal of Petroleum Exploration and Production Technology. 2020;10:3127-3138. https://doi.org/10.1007/s13202-020-00975-5.
Review
For citations:
Onamoun D., Dmitriev A.G. Seismic attribute analysis for oil field characterization in Côte d’Ivoire sedimentary basin. Earth sciences and subsoil use. 2025;48(4):406-417. https://doi.org/10.21285/2686-9993-2025-48-4-406-417. EDN: CUPPPI
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