Faculty

Khalid Aziz

Khalid Aziz, Otto N. Miller Professor Emeritus

Department of Energy Resources Engineering, Stanford University

Reservoir Simulation, Natural Gas Engineering and Multiphase Flow in Pipes, Optimization of Field Development and Operations.
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Biondo L. Biondi

Biondo L. Biondi, Associate Professor

Department of Geophysics, Stanford University

Seismic imaging and computational seismology.
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Adam Brandt

Adam Brandt, Assistant Professor

Department of Energy Resources Engineering, Stanford University

Greenhouse gas emissions, energy systems optimization, mathematical modeling of resource depletion, life cycle analysis
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Durlofsky

Louis Durlofsky, Chairman & Professor

Department of Energy Resources Engineering, Stanford University

General reservoir simulation, upscaling, modeling of advanced wells, optimization, flow in fractured systems, history matching, CO2 sequestration
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Harris

Jerry M. Harris, Cecil and Ida Green Professor

Department of Geophysics, Stanford University

Computational geosciences, reservoir geophysics, seismic attenuation, and acoustical resonance spectroscopy
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Horne

Roland Horne, Professor

Department of Energy Resources Engineering, Stanford University

Well Testing, Optimisation and Geothermal Reservoir Engineering
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Mukerji

Tapan Mukerji, Associate Professor

Department of Energy Resources Engineering, Stanford University

Rock physics, geostatistics, and wave propagation
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Pereyra

Victor Pereyra, Consulting Professor

Department of Energy Resources Engineering, Stanford University
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Saunders

Michael Saunders, Research Professor

Department of Management Science and Engineering, Stanford University

Numerical optimization, numerical linear algebra, including linear programming, nonlinear programming, sparse matrix methods, iterative solvers. The design and implementation of algorithms for constrained optimization and sparse linear equations (including sparse least squares).
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Hamdi Tchelepi

Hamdi Tchelepi, Associate Professor

Department of Energy Resources Engineering, Stanford University

Adaptive multiscale methods for reservoir simulation, modeling unstable fluid flow in porous media, scalable, parallel linear solvers for multiphase flow in heterogeneous reservoirs, stochastic methods, including statistical moment equations, for quantifying the uncertainty associated with predictions of reservoir flow performance. View CV »

Thiele

Marco R. Thiele, Consulting Professor

Department of Energy Resources Engineering, Stanford University

Streamline simulation and its broad application to reservoir engineering and management, including flood optimization, upscaling, and history matching.
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Roy

Benjamin Van Roy, Associate Professor

Department of Management Science and Engineering, Stanford University

Benjamin Van Roy is broadly interested in the formulation and analysis of mathematical models that address problems in information technology, business, and public policy.
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Ye

Yinyu Ye, Professor

Department of Management Science and Engineering, Stanford University

Yinyu Ye is Professor of Management Science and Engineering and, by courtesy, Electrical Engineering and the Director of the MS&E Industrial Affiliates Program at Stanford's School of Engineering.
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