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A Hybrid Optimization Method for Solving Bayesian Inverse Problems under Uncertainty

In this paper, we investigate the application of a new method, the Finite Difference and Stochastic Gradient (Hybrid method), for history matching in reservoir models. History matching is one of the processes of solving an inverse problem by calibrating reservoir models to dynamic behaviour of the r...

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Detalles Bibliográficos
Publicado en:PLoS One
Autores principales: Zhang, Kai, Wang, Zengfei, Zhang, Liming, Yao, Jun, Yan, Xia
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2015
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4529104/
https://ncbi.nlm.nih.gov/pubmed/26252392
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0132418
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