Zhao Beichen
- Visiting Student, Applied Mathematics and Computational Science
- Zhao Beichen > Appointments, Roles and Affiliations (former)
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.
Biography
Beichen Zhao is currently pursuing his Ph.D. at China University of Petroleum–Beijing. He is also a visiting student in the Applied Mathematics and Computational Science program at King Abdullah University of Science and Technology (KAUST).
Expertise and Interests
Beichen’s research interests include physics-informed neural networks, scientific machine learning, surrogate modeling, subsurface fluid flow, CO₂ enhanced oil recovery, geological carbon storage, and geothermal reservoir simulation.
About
Beichen Zhao is a visiting student in the Applied Mathematics and Computational Science program at King Abdullah University of Science and Technology (KAUST). His research focuses on developing physics-informed neural networks and surrogate models for the efficient simulation of subsurface fluid flow, with applications in CO₂ enhanced oil recovery, geological carbon storage, and geothermal reservoirs.
Qualifications
Education
- Doctor of Science (D.Sc.)
- Energy Artificial Intelligence, China University of Petroleum - Beijing, China, 2023
- English
- Professional working proficiency
