Stanford Doerr School of Sustainability
Showing 131-140 of 172 Results
-
Celine Scheidt
Sr Research Engineer, Energy Science & Engineering
BioCéline Scheidt has worked extensively in uncertainty modeling, sensitivity analysis, geostatistics and in the use of distance-based methods in reservoir modeling. She obtained her PhD at Strasbourg University and the IFP (France) in applied mathematics, with a focus on the use of experimental design and geostatistical methods to model response surfaces.
-
He Shan
Postdoctoral Scholar, Energy Science and Engineering
BioHe Shan obtained a joint Ph.D. in Energy and Engineering Thermophysics from Shanghai Jiao Tong University and National University of Singapore. His research focuses on functional soft materials and thermal engineering design for water-energy systems. Working with his supervisor, Prof. Ruzhu Wang, he studies atmospheric water harvesting systems that extract clean water from arid air. His work includes developing a thermodynamic framework for hygroscopic materials and proposing new cyclic operating principles for water harvesting systems. These advances have been translated into a spin-off company and demonstrated in real arid climates. He received his M.S. from Chongqing University and was awarded the Shanghai Jiao Tong University Academic Star in 2023.
-
Suihong Song
Physical Science Research Associate, 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.
-
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