Integrated Oil Production
Motivation and Objectives: Accurate computer simulation of petroleum reservoirs enables the development of more effective strategies for enhanced oil and gas recovery at highly reduced cost. Current production simulators are fundamentally limited in the size and complexity of the problems that they can handle. The use of parallel computing and novel discretization methods will allow the industry to tackle problems of current interest. The goal of the project is, through a collaboration of engineers, applied mathematicians, and computer scientists, to provide the underlying research and development required for the next generation of simulators.

UT Team:
Mary Wheeler (PI)
Todd Arbogast (Co-PI)
Clint Dawson (Co-PI)
Srinivas Chippada, Joe Eaton, Carter Edwards, Qin Lu, John Wheeler, Ivan Yotov

NPACI collaboration:
Manish Parashar, Rutgers University

Other collaboration:
Gary Pope, Kamy Sepehrnoori, Peng Wang, CPGE, University of Texas at Austin
Tom Morgan, Barry Smith, Argonne National Laboratory
Sue Minkoff, Sandia National Laboratory

Background projects:
Department of Energy Grand Challenge Project and Advanced Computation Technology Initiative (ACTI) "Development of a New Generation Framework for Parallel Reservoir Simulation"

Simulators: