Predictive pore pressure modeling using well-log data in the West Baram Delta, offshore Sarawak Basin, Malaysia

Abstract Accurate prediction of pore pressure (PP) is crucial for optimizing drilling and reservoir management operations. This study investigates PP prediction in the West Baram Delta, Offshore Sarawak, a mature oil and gas field. The field exhibits varying depths of top overpressure zones, emphasi...

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Bibliographic Details
Main Authors: Dejen Teklu Asfha, Haylay Tsegab Gebretsadik, Abdul Halim Abdul Latiff, Omeid Rahmani
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
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Online Access:https://doi.org/10.1007/s40948-024-00903-5
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Summary:Abstract Accurate prediction of pore pressure (PP) is crucial for optimizing drilling and reservoir management operations. This study investigates PP prediction in the West Baram Delta, Offshore Sarawak, a mature oil and gas field. The field exhibits varying depths of top overpressure zones, emphasizing the need for reliable PP predictions before the commencement of drilling operations. Sonic transit time, gamma-ray, and density logs are used to establish shale compaction trends and predict PP using Eaton’s and Miller’s methods. The predicted PP at the wellbore location was validated using a repeat formation tester data from two wells. Results showed that the Eaton DT method underestimates PP while the Miller method provides more accurate predictions at deeper overpressure zones. In shallow overpressure zones, where disequilibrium compaction is the dominant mechanism, the Eaton DT and Miller methods yield acceptable PP predictions. A 3D PP model demonstrated a better agreement with Eaton DT predictions at wellbore locations. The onset of overpressure was identified at approximately 2150 m depth. This study's out come provides valuable insights for PP evaluation in the West Baram Delta and in other similar geological settings prior to the drilling operation.
ISSN:2363-8419
2363-8427