Stanford Doerr School of Sustainability
Showing 11-15 of 15 Results
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Suihong Song
Postdoctoral Scholar, Energy Resources Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.
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Alexis Pengfei Zhao
Postdoctoral Scholar, Energy Science and Engineering
BioAlexis Pengfei Zhao received the B.Eng. and Ph.D. degrees from the University of Bath, U.K., in 2017 and 2021, respectively. In 2019, he was a visiting Ph.D. student at the Smart Grid Operations and Optimization Laboratory (SGOOL), Tsinghua University. From 2021 to 2024, he was an Associate Professor at the UCAS. In 2024, he joined Cornell University, Ithaca, NY, USA, as an Ezra SYSEN Research Associate of System Engineering.
Dr. Zhao is now a Postdoctoral Research Associate in the Department of Energy Science and Engineering, Stanford Doerr School of Sustainability, Stanford University, Stanford, CA, USA. His major research interests include Net Zero Energy Systems and Cyber-Physical-Social Systems.