Azam Khan

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

The framework provides a physically interpretable, calibration-ready forecasting tool for pre-treatment petrophysical prediction aligned with sustainable low-concentration acidizing design in accordance with UN SDG 7 and SDG 12.