Stanford Doerr School of Sustainability
Showing 31-40 of 46 Results
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Joel Moxley
Adjunct Professor
BioJoel Moxley is a Precourt Energy Scholar and Adjunct Professor at Stanford University. He currently teaches Stanford Climate Ventures (Energy 203). Joel received his B.S.E in chemical engineering from Princeton University, and his Ph.D. in chemical engineering from Massachusetts Institute for Technology. He is Managing Partner at Echelon and a Venture Partner at Breakthrough Energy Ventures.
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Tapan Mukerji
Professor (Research) of Energy Science Engineering, of Earth and Planetary Sciences and of Geophysics
Current Research and Scholarly InterestsMy students and I use theoretical, computational, and statistical models, to discover and understand fundamental relations between geophysical data and subsurface properties, to quantify uncertainty in our geomodels, and to address value of information for decision making under uncertainty.
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Aqsa Naeem
Physical Science Research Scientist
Current Research and Scholarly InterestsEnergy System Modeling and Optimization
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Simona Onori
Associate Professor of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsModeling, control and optimization of dynamic systems;
Model-based control in advanced propulsion systems;
Energy management control and optimization in HEVs and PHEVs;
Energy storage systems- Li-ion and PbA batteries, Supercapacitors;
Battery aging modeling, state of health estimation and life prediction for control;
Damage degradation modeling in interconnected systems -
Franklin M. ("Lynn") Orr, Jr.
Keleen and Carlton Beal Professor in Petroleum Engineering, Emeritus
Current Research and Scholarly InterestsResearch
My students and I work to understand the physical mechanisms that control flow of multiphase, multicomponent fluids in the subsurface, using a combination of experiments and theory. The theory part includes numerical simulation of flow in heterogeneous porous rocks and coalbeds, often using streamline approaches, and it also involves solving by analytical methods the differential equations that describe the interactions of complex phase equilibrium and flow (porous rocks containing more than one flowing phase can sometimes act like a chromatograph, separating components as they flow). The experiments are used to test how well the models describe reality. Applications of this work range from enhanced oil and gas recovery to geologic storage of carbon dioxide (to reduce greenhouse gas emissions) to the transport of contaminants in aquifers.
Teaching
I teach a courses for graduate students on the mathematics of multiphase, multicomponent flow in porous media and on the thermodynamics of phase behavior. I also teach an undergraduate course on energy for freshmen.
Professional Activities
Member, National Research Council Committee on Subsurface Characterization, Modeling, Monitoring, and Remediation of Fractured Rocks, 2013-present, Member, Technical Advisory Committee, Center for Sustainable Energy at Notre Dame; Member, Division Committee for the Division of Earth and Life Sciences of the National Research Council, 2012-present; Member, Energy Technology Innovation System Working Group, President's Council of Advisers on Science and Technology, 2010; Member, California Energy Future study committee (2009-2010); Member, NRC Committee on America's Energy Future (2007-2009); co-chair, Workshop on Basic Research Needs for the Geosciences, U.S. Dept. of Energy (2007); IOR Pioneer, Society of Petroleum Engineers (2006); Honorary Doctorate in Engineering, Heriot-Watt University, Edinburgh, Scotland (2005); member, Advisory Board, Carbon Mitigation Initiative, Princeton University (2004-present); director, Global Climate & Energy Project, Stanford University; member, Faculty Leadership Committee, Stanford Institute for the Environment (2004-05); National Associate of the National Academies (2002); Robert Earl McConnell Award, AIME (2001); election to National Academy of Engineering (2000); member, Board of Directors, David and Lucile Packard Foundation (1999-2008); member, Provost's Committee on the Environment (1995-2004); member, Board of Directors, Monterey Bay Aquarium Research Institute (1987-present); Chair, Fellowships for Science and Engineering Advisory Panel, David and Lucile Packard Foundation (1990-present); -
Celine Scheidt
Sr Res Engineer
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.
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Suihong Song
Physical Science Research Scientist
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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Daniel Tartakovsky
Professor of Energy Science Engineering
Current Research and Scholarly InterestsEnvironmental fluid mechanics, Applied and computational mathematics, Biomedical modeling.
