I. Zahmatkesh

Integrating machine learning-estimated Swir for robust rock typing and 3D modeling of heterogeneous carbonate reservoirs

By anchoring machine learning predictions to physical rock measurements, this approach effectively links static well data to dynamic reservoir properties, providing a robust framework for reducing geological uncertainty.