Mohammad Shahvali, Ph.D.

Mohammad Shahvali

Assistant ProfessorStephenson Hall #2275
(918) 631-3886

Office Hours - Spring 2014

Tuesdays & Thursdays, 1:00PM - 2:30PM
*All other times, by appointment only.

Course Syllabi - Spring 2014


Dr. Shahvali’s general area of research is numerical modeling of subsurface flow in heterogeneous porous media. In particular his interests include, but not limited to the following:

  1. Nonlinear solvers: Efficient and robust nonlinear solvers are vital for large-scale simulation of multiphase flow in porous media. The current state-of-the-art is not fully capable of resolving the coupling between the nonlinear equations that arise from discretization of the governing PDEs. Addressing the coupling in an adaptive yet robust fashion is the primary objective of Dr. Shahvali’s research in the area of nonlinear solvers.
  2. Unconventional resources: With an ever-growing need for energy, the unconventional resources play an important role in the industry. To better predict the behavior of unconventional reservoirs, it is important to understand the mechanisms that affect the recovery processes. Dr. Shahvali’s research focuses on mathematical modeling of fluid flow in the unconventional reservoirs such as shale gas and coal bed methane.
  3. Reservoir geo-mechanics:Accurate modeling of coupled flow and Geomechanics is necessary to predict the behavior of many reservoirs around the world. Dr. Shahvali’s research in this area aims to provide stable and efficient numerical schemes for incorporating Geomechanics in general-purpose simulation of hydrocarbon reservoirs.

Education and Degrees Earned

  • Ph.D., Petroleum Engineering, Stanford University
  • M.S., Petroleum Engineering, University of Calgary
  • B.S., Petroleum Engineering, Sharif University of Technology
  • B.S., Electrical Engineering, Sharif University of Technology

Areas of Academic Specialty

  • Natural Gas Reservoir Engineering
  • Reservoir Simulation

Areas of Research Focus

  • Reservoir Engineering

Professional Affiliations

  • Society of Petroleum Engineers (SPE), member
  • Society for Industrial and Applied Mathematics (SIAM)

Courses Taught at TU

  • Natural Gas Reservoir Engineering (PE-3133)
  • Reservoir Engineering I (PE-3023)
  • Reservoir Simulation II (PE-8013)