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Louis Durlofsky is the Otto N. Miller Professor in the Department of Energy Resources Engineering at Stanford University, with a distinguished career in petroleum engineering. He co-directs the Stanford Smart Fields Consortium and leads research focused on reservoir simulation, history matching, and optimizing subsurface flow processes pertinent to oil and gas production and geological carbon storage operations. His research interests extend to optimization challenges, like determining the optimal configuration of wells, and his group is exploring advanced methodologies, including deep-learning-based surrogate models for simulation. Durlofsky teaches graduate-level courses on advanced reservoir engineering and simulation, emphasizing analytical solutions alongside computational modeling of subsurface phenomena. He has published extensively and is an active member of professional organizations including the Society of Petroleum Engineers and the Society for Industrial and Applied Mathematics. His contributions have garnered numerous awards, including membership in the National Academy of Engineering, highlighting his impact on the field.
Stanford University • Stanford, California
Stanford University • Stanford, California
Chevron Energy Technology Company • San Ramon, California
Stanford University • Stanford, California
California Institute of Technology • Pasadena, California
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.