2017
DOI: 10.1002/ese3.177
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Abstract: Reservoir modeling and simulation have become important elements of reservoir management. However, high computational cost associated with the use of numerical simulators make them cumbersome, especially with large-scale simulation models and complex oil recovery processes like steam-assisted gravity drainage (SAGD). A data-driven proxy model can be an alternative to predict SAGD recovery performance in real heterogeneous reservoirs, however, computationally efficient proxy model which can handle large number … Show more

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Cited by 10 publications
(9 citation statements)
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“…The authors [7,59] proposed the application of polynomial chaos proxy efficiently sample with MCMC and ANNs, respectively. Application of ANNs in the form of gene expression programming is applied through an extensive statistical manner [60] in HM [61][62][63].…”
Section: Background Studies Of Proxy Modelmentioning
confidence: 99%
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“…The authors [7,59] proposed the application of polynomial chaos proxy efficiently sample with MCMC and ANNs, respectively. Application of ANNs in the form of gene expression programming is applied through an extensive statistical manner [60] in HM [61][62][63].…”
Section: Background Studies Of Proxy Modelmentioning
confidence: 99%
“…When the proposed proxy model dramatically reduces the computation time, it potentially carries out frequent execution of uncertainty quantification, history matching, risk analysis, and optimisation, resulting in efficient reservoir management and significant computational time reduction. For example: [7,59] developed a proxy model using Polynomial Chaos Expansion to improve computational time when utilising numeric reservoir simulator. They obtained significant monetary benefits and computational time reduction.…”
Section: How Many Proxy Model Studies Were Performed Frommentioning
confidence: 99%
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