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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
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 |