Journal
ENERGIES
Volume 16, Issue 21, Pages -Publisher
MDPI
DOI: 10.3390/en16217280
Keywords
pore pressure prediction; Eaton-Yale method; shale gas reservoirs; overpressure zones; Sichuan Basin
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In this study, the pore pressure prediction for the Wufeng-Longmaxi shale in the Sichuan Basin was conducted using the Eaton-Yale approach. By integrating various data and modeling techniques, the pore pressure values were determined and overpressure zones were corrected, providing a basis for reservoir simulation models and permeability prediction.
Pore pressure prediction is critical for shale gas reservoir characterization and simulation. The Wufeng-Longmaxi shale, in the southeastern margin of the Sichuan Basin, is identified as a complex reservoir affected by overpressure generation mechanisms and variability in lithification. Thus, standard methods need to be adapted to consistently evaluate pore pressure in this basin. Based on wireline logs, formation pressure tests, and geological data, this study applied the Eaton-Yale approach, which extends the theoretical basis of Eaton and Bowers methods to reservoir geological conditions and basin history. The method was developed by integrating petrophysical properties, rock physics interpretations, and geology information. The essential steps include (1) a multi-mineral analysis to determine mineral and fluid volumes; (2) a determination of the normal pressure trend line and extending it to overpressured sections; (3) predicting pore pressure using the basic Eaton approach and identifying overpressured zones; (4) correcting compressional velocity using lithology logs and a rock physics model; (5) determining the Biot Alpha coefficient and vertical-effective stress and estimating the new pore pressure values using the Eaton-Yale method. Overpressure zones were corrected, and reservoir pore pressure varied between 30.354 and 34.959 MPa in the wells. These research results can provide a basis for building reservoir simulation models, identifying reservoir boundaries, and predicting relative permeability.
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