Stanford Doerr School of Sustainability
Showing 141-150 of 178 Results
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Suihong Song
Physical Science Research Scientist, Energy Science & Engineering
Postdoctoral Scholar, Energy Science and EngineeringBioSuihong 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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Catherine Spurin
Postdoctoral Scholar, Energy Resources Engineering
BioI am a postdoctoral researcher in the Energy Science & Engineering department. My current research is focused on understanding how subsurface heterogeneity can be exploited to increase the amount of CO2 that is residually trapped. This increases storage security and minimizes the spread of the CO2 plume. This research makes up part of the GeoCquest consortium with Melbourne University, Cambridge University and CO2CRC. My supervisors are Prof. Hamdi Tchelepi and Prof. Sally Benson.
I obtained my PhD from Imperial College London in 2021. My PhD thesis "Intermittent flow pathways for multiphase flow in porous media: a pore-scale perspective" explored how flow phenomena not included in the framework of Darcy's law extended to multiphase flow influence the propagation and trapping of fluids. My supervisors were Prof. Sam Krevor and Prof. Martin Blunt. My research was funded by the President's PhD scholarship at Imperial. -
Joanna Sun
Assistant Director of Student Services, Energy Science & Engineering
Current Role at StanfordStudent Services, Department of Energy Science and Engineering
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Daniel Tartakovsky
Professor of Energy Science Engineering
Current Research and Scholarly InterestsEnvironmental fluid mechanics, Applied and computational mathematics, Biomedical modeling.
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Hamdi Tchelepi
Max Steineke Professor and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsCurrent research activities: (1) model and simulate unstable miscible and immiscible fluid flow in heterogeneous porous media, (2) develop multiscale numerical solution algorithms for coupled mechanics and multiphase fluid flow in large-scale subsurface formations, and (3) develop stochastic solution methods that quantify the uncertainty associated with predictions of fluid-structure dynamics in porous media.
