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Reading Room :: Theses 2001
Takaaki Uetani's report
by
Takaaki Uetani, MSE
University of Texas at Austin, 2001
Supervisor: Kamy Sepehrnoori
Numerical simulation of large complex petroleum reservoirs is computationally expensive and time-consuming
process. Traditionally, such simulations were performed using powerful workstations, mainframes, and in some
cases supercomputers. More recently, some developers have addressed developments of reservoir simulators
for massively parallel supercomputers. However, due to high cost, usage of these supercomputers have been
mainly limited to the users in major oil companies and national laboratories. But, developments of several
hardware and software have enabled application of such parallel reservoir simulators affordable using clusters of
PCs.
This report evaluates the performance of various Intel Architecture-based PC clusters with different networks
using a parallel compositional reservoir simulator with up to 1.5 million gridblocks for a gas injection process.
Results indicate that fast processors are essential for high-performance computing and also high-speed
networks contribute effectively to reduce the wall-clock time of the simulation on clusters of PCs.
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