Facies-Conditioned Physics-Guided Machine Learning for Interpretable Permeability Prediction in Heterogeneous Clastic Reservoirs
Permeability prediction in clastic reservoirs is challenged by the limited vertical coverage of core measurements, the indirect nature of wireline log responses, and variations in pore connectivity across sandy and shaly lithological intervals. This study presents a novel facies-conditioned physics-guided machine lea...