Characterizing hydraulic and natural fractures properties in shale oil well in Permian basin using assisted history matching
Author:
Funder
Computer Modeling Group Ltd.
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference12 articles.
1. An efficient MCMC history matching workflow using fir-for-purpose proxies applied in unconventional oil reservoirs;Dachanuwattana;J Petrol Sci Eng,2019
2. Best practices of assisted history matching using design of experiments;Li;SPE J,2019
3. A practical and efficient iterative history matching workflow for shale gas well coupling multiple objective functions, multiple proxy-based MCMC and EDFM;Tripoppoom;J Petrol Sci Eng,2019
4. Tripoppoom S, Yu W, Sepehrnoori K, Miao J, 2019. Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm. Paper URTeC 2019-659, presented at the Unconventional Resources Technology Conference held in Denver, Colorado, USA; 22–24 July 2019.
5. 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;Tripoppoom;Fuel,2020
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