Stanford Doerr School of Sustainability
Showing 11-18 of 18 Results
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Mainak Mukherjee
Postdoctoral Scholar, Energy Resources Engineering
Current Research and Scholarly InterestsOPGEE or Oil Production Greenhouse Gas Emissions Estimators is a robust modeling and simulation tool that enables carbon intensity accounting in terms of gCO2eq/MJ.
Emissions value chain analysis for natural gas midstream operation -
Aqsa Naeem
Postdoctoral Scholar, Energy Resources Engineering
Current Research and Scholarly InterestsEnergy System Modeling and Optimization
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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.