• Associate Professor, Petroleum Engineering
  • Ted H. Smith, Jr. ’75 and Max R. Vordenbaum ‘73 DVG Associate Professor
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Siddharth Misra

Educational Background

  • 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

    • Data-driven modeling and machine learning
    • Petrophysics and formation evaluation
    • Subsurface characterization
    • Subsurface data analytics
    • Carbon storage and geothermal reservoir monitoring

Industry Experience

    • Machine learning research consultant, Baker Hughes, Oklahoma City, OK - Mar-Aug 2019
    • Petrophysical research consultant, Schlumberger Technology Corporation, Sugar Land, TX - Jan 2014-May 2015
    • Petrophysics intern, Anadarko Petroleum Company, Woodlands, TX - Sep-Dec 2013
    • Petrophysics intern, Marathon Oil Company, Houston, TX - May-Aug 2012
    • Petrophysics intern, RWE Dea AG, Hamburg, Germany - May-Aug 2011
    • Wireline field engineer, Halliburton Energy Services, Houston, TX - Jul 2007-Dec 2009

Awards & Honors

  • Arie van Weelden Award, European Association of Geoscientists and Engineers - 2021
  • J. Clarence Karcher Award, Society of Exploration Geophysicists - 2020
  • 年轻的专业技术ward, Society of Petrophysicists and Well Log Analysts - 2020
  • Early Career Award, Department of Energy - 2018
  • Doctoral New Investigator Award, American Chemical Society - 2018

Selected Publications

  • Li, H., Misra, S., and He, J. 2019. Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints. Neural Computing and Applications, 1-13.
  • He, J., Li, H., and Misra, S. 2019. Data-driven in-situ sonic-log synthesis in shale reservoirs for geomechanical characterization. SPE Reservoir Evaluation & Engineering.
  • Wu, Y., Misra, S., Sondergeld, C., Curtis, M., and Jernigen, J. 2019. Machine learning for locating organic matter and pores in scanning electron microscopy images of organic-rich shales. Fuel, 253, 662-676.
  • Han, Y., and Misra, S. 2018. Joint petrophysical inversion of multifrequency conductivity and permittivity logs derived from subsurface galvanic, induction, propagation, and dielectric dispersion measurements. Geophysics, 83(3), D97-D112.
  • Tathed, P., Han, Y., & Misra, S. 2018. Hydrocarbon saturation in upper Wolfcamp shale formation. Fuel, 219, 375-388.
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