Relative permeability estimation using mercury injection capillary pressure measurements based on deep learning approaches
Ce Duan,
Bo Kang,
Rui Deng
et al.
Abstract:Relative permeability (RP) curves which provide fundamental insights into porous media flow behavior serve as critical parameters in reservoir engineering and numerical simulation studies. However, obtaining accurate RP curves remains a challenge due to expensive experimental costs, core contamination, measurement errors, and other factors. To address this issue, an innovative approach using deep learning strategy is proposed for the prediction of rock sample RP curves directly from mercury injection capillary… Show more
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