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Hewei Tang is an Assistant Professor at the Hildebrand Department of Petroleum and Geosystems Engineering at the University of Texas at Austin, where he conducts research in the field of subsurface energy systems. His work involves numerical simulation and experimental studies encompassing coupled thermal-hydro-mechanical-chemical processes. He is particularly interested in geologic carbon storage, geothermal energy systems, and unconventional resources. He utilizes machine learning techniques for data assimilation and dynamic reservoir characterization, aiming to advance drilling completions and reservoir simulation methodologies. Dr. Tang completed his PhD in Petroleum Engineering from Texas A&M University in 2019, having previously earned his MS in Petroleum Engineering and BS in Chemical Biomolecular Engineering from the same university and Tsinghua University, respectively. His research is recognized through multiple honors, including the Society of Petroleum Engineers Regional Data Science Engineering Analytics Award, and he contributes to several academic journals as an editor. He is set to join the faculty at UT PGE in August 2024, having previously worked as a staff scientist at Lawrence Livermore National Laboratory.
University of Texas at Austin • Austin, TX
Research and teaching in Petroleum Engineering with a focus on subsurface energy systems.
Lawrence Livermore National Laboratory • Livermore, CA
Conducted research in geothermal energy systems and carbon storage.
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