International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
As time progresses, more and more oil reservoirs reach maturity; consequently, secondary and tertiary methods of oil recovery have become increasingly important in the petroleum industry. This reality has increased the industry’s interest in using simulation as a tool for reservoir evaluation and management to minimize costs and increase efficiency. This study presents and compares several control methods in regards to the well-known reservoir simulation task of history matching that is performed to calibrate simulators.
How to cite this article:
Guadalupe Janoski , Srinivas Mukkamala and Andrew H. Sung . A Comparison of Soft Computing Methods for Reservoir Simulation.
DOI: https://doi.org/10.36478/ijscomp.2006.207.214
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2006.207.214