My research interest focuses on the exploration and application of novel numerical methods, like the generalized finite difference method (GFDM) to analyze multi-physics coupling flow behavior in porous media, demonstrating their computational efficiency across various computational domains. I am also interested in exploring machine learning applications in reservoir numerical simulation for enhanced prediction and optimization.

Generalized finite difference method based meshless analysis for coupled two-phase porous flow and geomechanics Y.N. Liu, X. Rao, H. Zhao, W.T. Zhan, Y.F. Xu, Y. Liu Engineering Analysis with Boundary Elements, 146, 184-203, (2023)

Reservoir simulation multi-physics coupling simulation Machine Learning