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Enhancing Pore Pressure Prediction In Oil Well Drilling: A Comprehensive Study Of Well Planning And Cost-Effective Modeling In The Niger Delta Region

Author

Listed:
  • Joachim Osheyor Gidiagba

    (University of Johannesburg, South Africa.)

  • Kelechi Anthony Ofonagoro

    (Kelanth Energy Solutions Nigeria)

  • Olawe Alaba Tula

    (NLNG - Bonny Island Rivers State)

  • Tina Chinwe Ndiwe

    (Osmotic Engineering Group, South Africa.)

Abstract

Accurate pore pressure prediction is pivotal in drilling operations, impacting safety, well design, and cost-effectiveness. This research paper aims to assess various pore pressure prediction methods, particularly in transition zones. It introduces a novel descriptive model for quick and reliable pore pressure estimation when essential data parameters are unavailable. The study underscores the importance of selecting appropriate prediction methods based on geological conditions. The research findings reveal that Eaton’s correlation utilizing transit compressive wave velocity offers superior pore pressure prediction when drilling through transition zones. Additionally, the developed descriptive model is a valuable tool for quick look pore pressure estimation, ensuring operational efficiency when data parameters for traditional methods like Eaton’s are lacking. However, a critical caveat emerges as the model’s suitability for pore pressure prediction in fractured or shaled-out reservoirs is questioned, necessitating caution in its application in such geological settings. This paper recommends the continued use of Eaton’s method as a reliable pore pressure prediction tool and advocates for the adoption of the proposed descriptive model in scenarios where time constraints or data limitations are prevalent. By amalgamating these approaches, drilling operations can achieve enhanced accuracy and efficiency in pore pressure assessment, ultimately contributing to safer and more cost-effective well-drilling processes.

Suggested Citation

  • Joachim Osheyor Gidiagba & Kelechi Anthony Ofonagoro & Olawe Alaba Tula & Tina Chinwe Ndiwe, 2023. "Enhancing Pore Pressure Prediction In Oil Well Drilling: A Comprehensive Study Of Well Planning And Cost-Effective Modeling In The Niger Delta Region," Engineering Heritage Journal (GWK), Zibeline International Publishing, vol. 7(2), pages 167-177, October.
  • Handle: RePEc:zib:zbngwk:v:7:y:2023:i:2:p:167-177
    DOI: 10.26480/gwk.02.2023.167.177
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