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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
Autores principales:	Zhang, Kai, Wang, Zengfei, Zhang, Liming, Yao, Jun, Yan, Xia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529104/ https://www.ncbi.nlm.nih.gov/pubmed/26252392 http://dx.doi.org/10.1371/journal.pone.0132418

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