Subsurface Flow

Zhao Beichen

Visiting Student, Applied Mathematics and Computational Science

Physics-informed Neural Networks Scientific Machine Learning Subsurface Flow

Beichen Zhao is a Ph.D. candidate at China University of Petroleum–Beijing and a visiting student in the Applied Mathematics and Computational Science program at KAUST. His research focuses on physics-informed neural networks and surrogate modeling for subsurface flow, with applications in CO₂ enhanced oil recovery, geological carbon storage, and geothermal reservoir simulation.