• Associate Professor, Petroleum Engineering
  • Aghorn Energy Career Development Professor
  • Affiliated Faculty, Multidisciplinary Engineering
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Hadi Nasrabadi

Educational Background

  • Ph.D., Petroleum Engineering, Imperial College London – 2006
  • B.S., Civil Engineering, Sharif University of Technology – 2002

Research Interests

    • Phase behavior of hydrocarbon fluids in shale reservoirs
    • CO2 sequestration and enhanced oil recovery
    • Machine learning
    • Geothermal energy
    • Hydrogen storage

Awards & Honors

  • Pioneer Natural Resources Faculty Award, Harold Vance Department of Petroleum Engineering – 2021
  • Karen and Larry A. Cress '76 Excellence in Teaching Faculty Award, Harold Vance Department of Petroleum Engineering – 2019

Selected Publications

  • Chen, F., Luo, S. , Wang, S., Nasrabadi, H. 2022. A Generalized Machine Learning–Assisted Phase-Equilibrium Calculation Model for Shale Reservoirs. Fluid Phase Equilibria journal. (in press).
  • Luo, S., Chen, F., Zhou, D. and Nasrabadi, H. 2021. Multiscale Pressure/Volume/Temperature Simulation of Decreasing Condensate/Gas Ratio at Greater than Dewpoint Pressure in Shale Gas-Condensate Reservoirs. SPE Journal 26(6):4174-4186.
  • Mehana, M., Kang, Q., Nasrabadi, H., Viswanathan, H. 2021. Molecular Modeling of Subsurface Phenomena Related to Petroleum Engineering. Energy & Fuels 35(4):2851-2869.
  • Luo, S., Lutkenhaus, J. L. and Nasrabadi, H. 2020. A Framework for Incorporating Nanopores in Compositional Simulation to Model the Unusually High GOR Observed in Shale Reservoirs. Journal of Petroleum Science and Engineering 195:10788.
  • Sun, Z., Li, X., Liu, W., Zhang, T., He, M., Nasrabadi, H. 2020. Molecular Dynamics of Methane Flow Behavior through Realistic Organic Nanopores under Geologic Shale Condition: Pore size and Kerogen Types. Chemical Engineering Journal, 398:124341
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