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Siddharth Misra

Associate Professor Texas A&M University

Sid Misra, SPE, is an associate professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University with a joint appointment in the Department of Geology and Geophysics. He is a researcher and educator in the field of subsurface monitoring for the exploration and production of subsurface earth resources. He has authored two books—“Machine Learning for Subsurface Characterization” and “Electromagnetic Data Interpretation for Subsurface Characterization.” Misra holds a bachelor of technology degree in electrical engineering from the Indian Institute of Technology, Bombay, and a PhD degree in petroleum and geosystems engineering from The University of Texas at Austin. He can be reached at misra@tamu.edu.

  • Large geological models are needed for modeling the subsurface processes in geothermal, carbon-storage, and hydrocarbon reservoirs. The size of these models contributes to the computational cost of history matching, engineering optimization, and forecasting. To reduce this cost, low-dimensional representations need to be extracted. Deep-learning tools, such as autoenc…
  • Supervised learning has many commercial applications; however, such learning lacks the capability to generate new insights and knowledge. In contrast, unsupervised learning discovers the inherent structures in unlabeled data, thereby helping generate new insights and actionable knowledge from large volumes of data.