Academics
PhD students are encouraged to have both theoretical and computational components to their research projects. Our research group consists of students with varying backgrounds including computational mathematics, fluid mechanics, computer science, petroleum, chemical and environmental engineering, and physics. For more information about academic programs in the Department of Energy Science & Engineering, please refer to the Department's website.
Student Opportunities
We are looking for prospective students with a background in computational mathematics, fluid mechanics, computer science, chemical and environmental engineering, or physics. Please refer to the department's admissions page for the requirement and application procedure of our graduate program.
Related Courses
The following courses are recommended for those interested in reservoir simulation research. Graduate students are suggested to build solid knowledge and skills in multi-phase flow in porous media, numerical analysis, optimization, high performance computing, and object-oriented programming.
Most Relevant Courses
Course Number | Title |
ENERGY 221 | Fundamentals of Multiphase Flow |
ENERGY 222 | Advanced Reservoir Engineering |
ENERGY 223 | Reservoir Simulation |
ENERGY 224 | Advanced Reservoir Simulation |
ENERGY 284 | Optimization and Inverse Modeling |
CME 200 | Linear Algebra with Application to Engineering Computations |
CME 204 | Partial Differential Equations in Engineering |
CS 106B | Programming Abstractions |
Relevant Courses
Course Number | Title |
ENERGY 225 | Theory of Gas Injection Processes |
ENERGY 227 | Enhanced Oil Recovery |
ENERGY 240 | Geostatistics |
ENERGY 251 | Thermodynamics of Equilibria |
CME 206 | Introduction to Numerical Methods for Engineering |
CME 343 | Programming Parallel Numerical Algorithms with CUDA and MPI |
ME 335A | Finite Element Analysis |
ME 335B | Finite Element Analysis |
GEOPHYS 112 | Exploring Geosciences with MATLAB |