Siddharth Misra

Educational Background

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

Arie van Weelden Award, European Association of Geoscientists and Engineers – 2021
J. Clarence Karcher Award, Society of Exploration Geophysicists – 2020
Young Professional Technical Award, Society of Petrophysicists and Well Log Analysts – 2020
Early Career Award, Department of Energy – 2018
Doctoral New Investigator Award, American Chemical Society – 2018

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.