selected publications academic article Osogba, O., Misra, S., & Xu, C. (2020). Machine learning workflow to predict multi-target subsurface signals for the exploration of hydrocarbon and water. Fuel: the science and technology of fuel and energy. 278, 118357-118357. Jin, Y., Misra, S., Homan, D., & Rasmus, J. (2020). Effects of wettability of conductive particles on the multifrequency conductivity and permittivity of fluid-filled porous material. Fuel: the science and technology of fuel and energy. 268, 117411-117411. Li, H., Misra, S., & He, J. (2020). Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints. Neural Computing and Applications. 32(8), 3873-3885. Wu, Y., Misra, S., Sondergeld, C., Curtis, M., & Jernigen, J. (2019). Machine learning for locating organic matter and pores in scanning electron microscopy images of organic-rich shales. Fuel: the science and technology of fuel and energy. 253, 662-676. He, J., & Misra, S. (2019). Generation of synthetic dielectric dispersion logs in organic-rich shale formations using neural-network models. GEOPHYSICS. 84(3), D117-D129. Han, Y., Misra, S., Wang, H., & Toumelin, E. (2019). Hydrocarbon saturation in a Lower-Paleozoic organic-rich shale gas formation based on Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic dispersion logs. Fuel: the science and technology of fuel and energy. 243, 645-658. Li, H., & Misra, S. (2019). Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions. IEEE Geoscience and Remote Sensing Letters. 16(2), 192-195. Tathed, P., Han, Y., & Misra, S. (2018). Hydrocarbon saturation in Bakken Petroleum System based on joint inversion of resistivity and dielectric dispersion logs. Fuel: the science and technology of fuel and energy. 233, 45-55. Tathed, P., Han, Y., & Misra, S. (2018). Hydrocarbon saturation in upper Wolfcamp shale formation. Fuel: the science and technology of fuel and energy. 219, 375-388. Han, Y., & 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. Li, H., & Misra, S. (2018). Assessment of miscible light-hydrocarbon-injection recovery efficiency in Bakken shale formation using wireline-log-derived indices. Marine and Petroleum Geology. 89, 585-593. Li, H., & Misra, S. (2017). Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks. IEEE Geoscience and Remote Sensing Letters. 14(12), 2395-2397. Ojha, S. P., Misra, S., Tinni, A., Sondergeld, C., & Rai, C. (2017). Relative permeability estimates for Wolfcamp and Eagle Ford shale samples from oil, gas and condensate windows using adsorption-desorption measurements. Fuel: the science and technology of fuel and energy. 208, 52-64. Misra, S., Torres-Verdn, C., Revil, A., Rasmus, J., & Homan, D. (2016). Interfacial polarization of disseminated conductive minerals in absence of redox-active species Part 2: Effective electrical conductivity and dielectric permittivity. GEOPHYSICS. conference paper He, J., Li, H., & Misra, S. (2019). Data-Driven In-Situ Sonic-Log Synthesis in Shale Reservoirs for Geomechanical Characterization. Day 3 Mon, April 16, 2018. 1225-1239.
principal investigator on Quantification of the Crack Evolution Process by Extracting Relevant Signal Components from Wave Propagation and Diffusive Transport Front Measurements awarded by Office of Science - (Washington D.C., District of Columbia, United States) 2020 - 2023
teaching activities GEOL689 Sptp: Pete Data Analy&mach Lr Instructor PETE321 Formation Evaluation Instructor PETE419 Pete Data Analytcs & Mach Lrng Instructor PETE489 Sptp: Data Anlytcs & Mch Lrng Instructor PETE489 Sptp:data Anlytcs&mch Lrng Instructor PETE681 Seminar Instructor PETE684 Professional Internship Instructor PETE689 Sptp:pete Data Analy& Mach Lrn Instructor PETE689 Sptp:pete Data Analy&mach Lr Instructor PETE689 Sptp:petr Data Analytics&machi Instructor PETE691 Research Instructor PETE692 Professional Study Instructor
education and training Ph.D. in Petroleum Engineering, The University of Texas at Austin - (Austin, Texas, United States) 2015 M.S. in Petroleum Engineering, The University of Texas at Austin - (Austin, Texas, United States) 2014