Application of Genetic Algorithm (GA) in History Matching of the Vapour Extraction (VAPEX) Heavy Oil Recovery Process

Xu, Sha; Zhang, Min; Zeng, Fanhua; Chan, Christine W.

doi:10.1007/s11053-014-9255-7

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…When applied to a waterflood they found that their approach gave comparable results to a full adjoint based method. Xu et al [78] applied a modified GA for the history matching of a Vapor Extraction (VAPEX) heavy oil recovery process. They found that their modified approach increased computational efficiency while achieving an excellent match.…”

Section: History Matching As Precursor To Production Optimizationmentioning

confidence: 99%

Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms

et al. 2017

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This paper presents a review of history matching and oil field development optimization techniques with a focus on optimization algorithms. History matching algorithms are reviewed as a precursor to production optimization algorithms. Techniques for history matching and production optimization are reviewed including global and local methods. Well placement, well control, and combined well placement-control optimization using both secondary and tertiary oil production techniques are considered. Secondary and tertiary recovery techniques are commonly referred to as waterflooding and enhanced oil recovery (EOR), respectively. Benchmark models for comparison of methods are summarized while other applications of methods are discussed throughout. No single optimization method is found to be universally superior. Key areas of future work are combining optimization methods and integrating multiple optimization processes. Current challenges and future research opportunities for improved model validation and large scale optimization algorithms are also discussed.

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Section: History Matching As Precursor To Production Optimizationmentioning

confidence: 99%