Assisted history matching in shale gas well using multiple-proxy-based Markov chain Monte Carlo algorithm: The comparison of K-nearest neighbors and neural networks as proxy model

•A new assisted history matching workflow for shale gas reservoirs was developed.•K-nearest neighbors and neural networks as proxy model was compared.•Hydraulic fracture properties were identified in a probabilistic manner.•Hydraulic fractures were modeled using EDFM. We performed assisted history m...

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Veröffentlicht in:	Fuel (Guildford) Jg. 262; S. 116563
Hauptverfasser:	Tripoppoom, Sutthaporn, Ma, Xinhua, Yong, Rui, Wu, Jianfa, Yu, Wei, Sepehrnoori, Kamy, Miao, Jijun, Li, Ning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 15.02.2020 Elsevier BV
Schlagworte:	Algorithms Assisted history matching Bayesian analysis Computer simulation Design optimization Economic forecasting EDFM Gas wells K-nearest neighbors Markov analysis Markov chain Monte Carlo Markov chains Mathematical models Monte Carlo simulation Neural networks Parameter robustness Parameter uncertainty Permeability Probability theory Shale Shale gas Shales Workflow ECDF NN EUR WGR HM AHM EDFM MCMC KNN BHP Assisted history matching Neural networks LGR LHS Markov chain Monte Carlo K-nearest neighbors MH WHP
ISSN:	0016-2361, 1873-7153
Online-Zugang:	Volltext
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