Siddharth Misra

Siddharth Misra is an Associate Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University, part of the College of Engineering. He holds the Ted H. Smith, Jr. ’75 and Max R. Vordenbaum ‘73 DVG Endowed Professorship. His research focuses on data-driven modeling, machine learning applications in subsurface systems, petrophysics, and carbon storage.

Education:

• Ph.D., Petroleum Engineering, University of Texas at Austin
• M.S., Petroleum Engineering, University of Texas at Austin
• B.Tech., Electrical Engineering, Indian Institute of Technology, Bombay

Research Interests: Dr. Misra’s work integrates machine learning with subsurface characterization, including shale reservoir modeling, geothermal energy monitoring, and carbon sequestration. He emphasizes data analytics for improving subsurface exploration and reservoir management.

Publications: His recent publications highlight advancements in neural network modeling for pore structure analysis, machine learning for SEM image interpretation, and geophysical log inversion techniques. These contributions reflect a focus on bridging computational methods with traditional petroleum engineering challenges.

Awards:

• Arie van Weelden Award (2021)
• J. Clarence Karcher Award (2020)
• Forty under 40 (Oil and Gas Investor, 2023)

Advising/Grants: While specific student/advisor details are not listed, his research is supported by grants from the U.S. Department of Energy and the American Chemical Society. He collaborates on projects involving carbon storage and geothermal reservoir monitoring.