Scholarly record
WELL PLACEMENT OPTIMIZATION FOR WATER INJECTION WELLS
Abstract
Determining the optimal location of wells with the aid of an automated search method can significantly increase a project’s net present value as modeled in a reservoir simulator. This work addresses the efficient solution of this problem by using advanced techniques for coupling two important components of autonomic optimization: Dynamic model using Eclipse simulator software (E100), an optimization technique based on the genetic algorithm (GA). Profits and costs during the time period of the project were taken into consideration.
Publication details
References7
Goldberg, D. "Genetic Algorithms in Search, Optimization, and Machine Learning, Addison- Wesley, 1989
De Jong, K. A. An Analysis of the Behavior of a Class of Genetic Adaptive Systems, Ph.D. thesis, University of Michigan. Dissertation Abstracts International 36(10), 514B. ,1975
Morawej Farshi M. & Aziz Kh. Improving Genetic Algorithms For Optimum Well Placement, a report submitted to the department of petroleum engineering of Stanford university, US. ,2008
Rogers, L. L. & Dowla, F. U. Optimal Groundwater Remediation Using Artificial Neural Networks with Parallel Solute Transport. Water Resources Research, 30(2), pp 457^183,1994
Badru , 0.& Home, R. N. well - placement optimization using the quality map approach, a report submitted to the department of petroleum engineering of Stanford university, US. ,2003
G'uyag'uler, B. & Home, R. N. & Rogers, L., & Rosenzweig, J. J. Optimization of Well Placement in a Gulf of Mexico Water flooding Project, SPE 63221, Texas, 2000
Rian, D. T. & Hage, A. Automatic Optimization of Well Locations in a North Sea Fractured Chalk Reservoir Using a Front Tracking Reservoir Simulator, paper SPE 28716 presented at the SPE International Petroleum & Exhibition of Mexico, Veracruz, Mexico, October 10-13,1994
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