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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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Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Zhang, Kai, Wang, Zengfei, Zhang, Liming, Yao, Jun, Yan, Xia
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2015
Teme:
Online pristup: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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