Stanford Doerr School of Sustainability
Showing 101-120 of 151 Results
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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); -
Oluwatobi Raji
Ph.D. Student in Energy Science and Engineering, admitted Spring 2024
Masters Student in Energy Resources Engineering, admitted Autumn 2022Current Research and Scholarly InterestsOptimize injection well placement for CO2 storage in a field in Kern County California. Key optimization goals are minimization of pressure build-up and maximization of allowable land area for the CO2 storage.
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Frances Reuland
Masters Student in Energy Science and Engineering, admitted Autumn 2023
BioFran is an MS candidate in Energy Science & Engineering at Stanford University, where she was named as a 2023 Knight Hennessy Scholar. Before becoming a Stanford student, she spent three years at the Rocky Mountain Institute (RMI) in Boulder, Colorado working on decarbonization solutions for the oil and gas sector. She has a particular focus on methane detection, mitigation, and policy solutions. Prior to RMI, she held a position at the International Energy Agency (IEA) in Paris, France working to support IEA's work on methane from the petroleum sector. She also completed a Fellowship at the Carnegie Endowment for International Peace in the Energy and Climate Program. She is a graduate and varsity women's soccer player of the University of North Carolina-Chapel Hill. Fran earned a B.S. with High Honors in Environmental Science, a Chemistry minor, and a B.A. in Spanish. She has continued her competitive soccer career playing at the semi-pro level in France and Colorado.
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Sarah Dawn Saltzer
Managing Director of SCCS, Energy Science & Engineering
Current Role at StanfordManaging Director Stanford Center for Carbon Storage
Managing Director Stanford Carbon Initiative -
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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Madalsa Singh
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2019
BioI'm a Ph.D candidate in Department of Energy Science and Engineering at Stanford University researching carbon-constrained energy and transport systems. I study how to reliably move away from fossil fuels while improving public health, consumer affordability, and system economics. My research is advised by Prof. Inês Azevedo.
Please find more about my work at https://madalsa.org/ -
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.
