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The aim is to enhance pore pressure prediction accuracy under complex geological settings by integrating multiple overpressure mechanisms.

June 21, 2026SPE Journal

An Integrated Pore Pressure Estimation Model Using Sonic and Density Logs: Accounting for Multioverpressure Mechanisms

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Randomized trial investigates pore pressure prediction in petroleum engineering, suggesting a new model for accuracy.

The aim is to enhance pore pressure prediction accuracy under complex geological settings by integrating multiple overpressure mechanisms.
A systematic survey was conducted addressing various overpressure generation mechanisms based on effective stress principles.
An integrated model incorporating effective stress, sonic transit time, and density was developed for pore pressure estimation.
Analysis included two case studies in the Yinggehai Basin, comparing the new model with the Bowers' model.
The new model aligns more closely with measured pore pressures than the Bowers' model, demonstrating its improved predictive capability.
Dimensionless sonic velocity and density trend lines effectively distinguished between loading and unloading conditions for pore pressure analysis.
The integrated approach reveals significant contributions to pore pressure changes from different overpressure mechanisms.

Gong et al. (2026) studied this question.

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