Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/86554
Type: Artigo de periódico
Title: A Method For Reduction Of Uncertainties In Reservoir Model Using Observed Data: Application To A Complex Case
Author: Maschio C.
Schiozer D.J.
Abstract: The aim of this paper is to show a methodology to reduce uncertainties in complex reservoir models using observed dynamic data. The basic idea is the use of the difference between observed and simulated data to constrain the probability redistribution of the uncertain attributes, reducing the spread of the posterior distribution and, as a consequence, reducing the dispersion of the reservoir response and mitigating risk. To capture the influence between attributes and reservoir responses, an influence matrix is proposed. The method deals with discrete and continuous attributes, which permits an adequate representation of the several types of uncertainties. The methodology was applied to a complex case and promising results are shown.
Editor: Springer Verlag
Rights: fechado
Identifier DOI: 10.1007/s40430-013-0126-7
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84907587471&partnerID=40&md5=8f8cc4b52cebbe6bd8f705568b312afe
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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