Design and Evaluation of Tailored Chemical Injection Fluids for ‎Enhanced Oil Recovery in Carbonate Reservoirs in The Rio Del ‎Rey Basin

  • Authors

    • Tientcheu Raoul Martial Department of Petroleum and Gas Engineering, School of Geology and Mining Engineering, University of ‎Ngaoundere, PO. Box 115, Meiganga, Cameroon
    • Ganwa Alembert Alexandre Department of Mines and Geology, School of Geology and Mining Engineering, University of Ngaoundere, ‎PO. Box 115, Meiganga, Cameroon
    • Nteh Sixtus Okana Department of Petroleum Engineering, National Higher Polytechnic Institute, University of Bamenda, Cameroon
    • Fouda Ottou Thaddee Roland Department of Petroleum Engineering, Ivano-Frankivsk National Technical University of Oil and ‎Gas
    https://doi.org/10.14419/n24svd28

    Received date: August 28, 2025

    Accepted date: December 17, 2025

    Published date: December 23, 2025

  • Well Logging; Gamma Ray; Reservoirs; Lithology; Petroleum Exploration; Simulation; EOR
  • Abstract

    This document presents a study on the interpretation of well log data from two wells, BVM1 and BVM2, in the Rio Del Rey ‎basin of Cameroon. The study focuses on analyzing gamma ray (GR), resistivity (RDEEP), density (RHOB), and neutron ‎‎(NDPHI) logs to identify potential sandstone reservoirs and characterize their properties.‎

    ‎The document begins with an introduction to the Rio Del Rey basin, its geographical and geological settings, and the ‎importance of well logging in petroleum exploration. It then provides a detailed explanation of the various geophysical logs ‎used in the study, including gamma ray, resistivity, density, and neutron logs. Each log type is described in terms of its ‎measurement principle, interpretation, and significance in identifying lithology and fluid content.‎

    The study employs a qualitative interpretation method, using the 'quick look' approach developed by Serra (1979) to analyze ‎log responses. The interpretation process involves combining GR, NPHI, RHOB, and RDEEP logs to highlight different ‎lithologies and identify potential reservoirs. The results show that two potential reservoirs were identified in the BVM1 well, ‎while one potential reservoir was found in the BVM2 well. The document concludes by emphasizing the essential role of well ‎logging in petroleum exploration and exploitation.‎

    One interesting insight from this document is the use of Custom Markdown formatting to present scientific and ‎mathematical content, borrowing syntax from LaTeX. This approach enhances the readability and understanding of ‎complex technical information. Another unique aspect is the detailed explanation of the logging tools and their principles, ‎which provides valuable context for interpreting the well log data. The study also highlights the importance of combining ‎multiple log types to achieve a more accurate interpretation of subsurface formations and fluid content, demonstrating the ‎complexity and interdisciplinary nature of petroleum exploration‎.

  • References

    1. Obaje, N. G. (2014). Geology and Mineral Resources of Nigeria. Springer.
    2. Sheng, J. J. (2011). Modern Chemical Enhanced Oil Recovery: Theory and Practice. Gulf Professional Publishing.
    3. Aderibigbe, D. A., Adewole, J. K., & Adeleye, A. O. (2015). Application of Enhanced Oil Recovery Techniques in Africa: Opportunities and Chal-lenges. International Journal of Oil, Gas and Coal Engineering, 3(5), 81-88.
    4. Abubakar Isah, Muhammad Arif, Amjed Hassan, Mohamed Mahmoud, Stefan Iglauer (2022). Fluid–rock interactions and their implications on EOR: Critical analysis, experimental techniques and knowledge gaps. Energy Reports 8 (2022) 6355–6395. https://doi.org/10.1016/j.egyr.2022.04.071.
    5. Cheraghi, Y., Kord, S., & Mashayekhizadeh, V. (2021). Application of Machine Learning Techniques for Selecting the Most Suitable Enhanced Oil Recovery Method; Challenges and Opportunities. Journal of Petroleum Science and Engineering, 205, 108761. https://doi.org/10.1016/j.petrol.2021.108761.
    6. Elkatatny, S., Mahmoud, M., & Nasr-El-Din, H. A. (2016). Evaluation of crude oil viscosity in West Africa using laboratory and field data. Journal of Petroleum Science and Engineering, 145, 164-173.
    7. Guo, Zhenyu, Reynolds, Albert C., and Hui Zhao (2017). A Physics-Based Data-Driven Model for History-Matching, Prediction and Characteriza-tion of Waterflooding Performance. Paper presented at the SPE Reservoir Simulation Conference. https://doi.org/10.2118/182660-MS.
    8. Laurie, A. (2014). Well log analysis and reservoir characterization in the Rio del Rey Basin, Cameroon. arXiv.
    9. Levitt, D. B., Jackson, A. C., Heinson, C. W., & Pope, G. A. (2009). Identification and evaluation of high-performance EOR surfactants. SPE Journal, 14(3), 442-460.
    10. Manrique, E. J., and al. (2017). EOR field experiences in carbonates and sandstones. Journal of Petroleum Science and Engineering, 155, 56-77.
    11. Mina Seidy-Esfahlan, Seyyed Alireza Tabatabaei-Nezhad, Elnaz Khodapanah (2024). Comprehensive review of enhanced oil recovery strategies for heavy oil and bitumen reservoirs in various countries: Global perspectives, challenges, and solutions, Heliyon, 10(18), e37826. https://doi.org/10.1016/j.heliyon.2024.e37826.
    12. Nasr-El-Din, H. A., Taylor, K. C., & Al-Humaidan, S. (2011). Chemical EOR in carbonate reservoirs: A review of recent progress. Society of Petro-leum Engineers.
    13. Oyedele, K. F., & Adeyemi, M. O. (2014). Structural interpretation of the Rio del Rey Basin using 3D seismic data. International Journal of Geo-sciences, 5(9), 1011-1022.
    14. Rabiei, M., and al. (2016). A critical review of chemical EOR processes and their modeling techniques. Petroleum Science, 13, 123-143.
    15. Thomas, S. (2008). Enhanced Oil Recovery: An Overview. Oil & Gas Science and Technology, 63(1), 9-19. https://doi.org/10.2516/ogst:2007060.
    16. ResearchGate. (2011). Permeability analysis of Rio del Rey reservoirs.
    17. SCIRP. (2014). Petrophysical evaluation of Agbada Formation.
    18. SCIRP. (2014). Temperature variation in Rio del Rey Basin reservoirs.
    19. Nasr-El-Din, H. A., Taylor, K. C., & Al-Humaidan, S. (2011). Chemical EOR in Carbonate Reservoirs: A Review of Recent Progress. Society of Petroleum Engineers. https://www.researchgate.net/publication/262054147.
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  • How to Cite

    Martial , T. R. ., Alexandre , G. A. ., Okana , N. S. ., & Roland , F. O. T. . (2025). Design and Evaluation of Tailored Chemical Injection Fluids for ‎Enhanced Oil Recovery in Carbonate Reservoirs in The Rio Del ‎Rey Basin. International Journal of Advanced Geosciences, 13(2), 28-36. https://doi.org/10.14419/n24svd28