International Journal of Soft Computing

Year: 2006
Volume: 1
Issue: 3
Page No. 207 - 214

A Comparison of Soft Computing Methods for Reservoir Simulation

Authors : Guadalupe Janoski , Srinivas Mukkamala and Andrew H. Sung

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 , 2006. A Comparison of Soft Computing Methods for Reservoir Simulation. International Journal of Soft Computing, 1: 207-214.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved