Md Niamul Quader

State-of-the-art machine learning for reservoir characterization: methods, applications, and challenges

Reservoir characterization integrates geological and petrophysical information to estimate key subsurface properties and reduce uncertainty in field development. However, the workflow remains challenging because reservoir systems are inherently heterogeneous and nonlinear, while field datasets are often limited, noisy,...