Prediction of Water Saturation Using Physics-Guided Machine Learning in Deep Silurian Shale Gas Reservoirs
Accurate water saturation estimation in deep shale reservoirs is complicated by clay-related additional conductivity and coupled pore, organic-matter, and structural effects. This study develops a feature-level physics-guided machine-learning framework, termed PhysML-Hybrid. Five mechanism-derived descriptor groups rep...