Azam Khan

Machine learning and deep learning for prediction of post-acidizing petrophysical properties in sandstone reservoirs: a physics-augmented data-driven framework

Predicting post-acidizing porosity and permeability in sandstone reservoirs remains a fundamental challenge due to complex, nonlinear acid–rock interactions. This study presents a physics-augmented machine learning and deep learning (ML/DL) framework that integrates 24 laboratory core-flooding measurements from the...