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A Comparison between Evolutionary Metaheuristics and Mathematical Optimization to Solve the Wells Placement Problem
Texas Tech University, Lubbock, USA
Texas Tech University, Lubbock, USA
- 1 Texas Tech University, Lubbock, USA
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- 4 Texas Tech University, Lubbock, USA
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Advances in Chemical Engineering and Science·Volume 03 (2013)·Pages 30–36·Published 25 September 2013·DOI10.4236/aces.2013.34A1005
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Abstract
The Wells Placement Problem (WPP) consists in choosing well locations within an oil reservoir grid to maximize the reservoir total oil production, subject to distance threshold between wells and number of wells cap constraints. A popular approach to WPP is Genetic Algorithms (GA). Alternatively, WPP has been approached in the literature through Mathematical Optimization. Here, we conduct a computational study of both methods and compare their solutions and performance. Our results indicate that, while GA can provide near-optimal solutions to instances of WPP, typically Mathematical Optimization provides better solutions within less computational time.
KeywordsWells PlacementGenetic AlgorithmInteger Programming
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