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Assessment Of Reservoir Performance In The Cz Field, Niger Delta Basin, Utilizing Integrated Facies And Petrophysical Analyses For Predictive Modeling

Author

Listed:
  • Chisom Kingsley Okwaraojimadu

    (Department of Geology, Federal University of Technology, Owerri, Nigeria)

  • Casmir Zanders Akaolisa

    (Department of Geology, Federal University of Technology, Owerri, Nigeria)

  • Okechukwu Ebuka Agbasi

    (Geo-Okna Geophysics Services, Eket, Nigeria)

Abstract

The “CZ” field refers to a promising hydrocarbon reservoir situated inside the Niger Delta region in Nigeria. The field is characterised by the presence of three distinct reservoir zones, namely the Agbada, Benin, and Akata formations. The research employed a multidisciplinary methodology to assess the hydrocarbon potential of the field, using techniques such as well log analysis, seismic interpretation, and petrophysical modelling. The findings of the research indicate that the “CZ” region has noteworthy potential for hydrocarbon resources. The aggregate assessed in-situ reserves of oil and gas amount to 1.2 billion barrels of oil equivalent (BOE) and 8.0 trillion cubic feet (TCF) of gas, correspondingly. The expected recovery factor for oil in the field is 20%, while for petrol it is predicted to be 80%. The study has identified a number of issues that want attention in order to advance the subject of “CZ.” The problems encompass several factors, namely the existence of water and gas within the reservoir, the intricate structural geology of the field, and the field’s distant geographical position. Notwithstanding these obstacles, the “CZ” sector exhibits the capacity to emerge as a significant hydrocarbon producer. The research offers a significant foundation for subsequent assessment and advancement of the discipline.

Suggested Citation

  • Chisom Kingsley Okwaraojimadu & Casmir Zanders Akaolisa & Okechukwu Ebuka Agbasi, 2023. "Assessment Of Reservoir Performance In The Cz Field, Niger Delta Basin, Utilizing Integrated Facies And Petrophysical Analyses For Predictive Modeling," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 7(2), pages 174-182, October.
  • Handle: RePEc:zib:zbesmy:v:7:y:2023:i:2:p:174-182
    DOI: 10.26480/esmy.02.2023.174.182
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