Abstract
As time progresses, more and more oil fields and reservoirs are reaching maturity; consequently, secondary and tertiary methods of oil recovery have become increasingly important in the petroleum industry. This significance has added to the industry’s interest in using simulation as a tool for reservoir evaluation and management to minimize costs and increase efficiency. This paper presents results of several experiments using soft computing algorithms and techniques to perform history matching, a well-known important simulation task usually performed to calibrate reservoir simulators.
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Janoski, G.I., Sung, A.H. (2001). Alternate Methods in Reservoir Simulation. In: Alexandrov, V.N., Dongarra, J.J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds) Computational Science - ICCS 2001. ICCS 2001. Lecture Notes in Computer Science, vol 2074. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45718-6_29
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