A Method For Reduction Of Uncertainties In Reservoir Model Using Observed Data: Application To A Complex Case

dc.creatorMaschio C.
dc.creatorSchiozer D.J.
dc.date2014
dc.date2015-06-25T17:53:55Z
dc.date2015-11-26T14:27:40Z
dc.date2015-06-25T17:53:55Z
dc.date2015-11-26T14:27:40Z
dc.date.accessioned2018-03-28T21:30:48Z
dc.date.available2018-03-28T21:30:48Z
dc.identifier
dc.identifierJournal Of The Brazilian Society Of Mechanical Sciences And Engineering. Springer Verlag, v. 36, n. 4, p. 901 - 918, 2014.
dc.identifier16785878
dc.identifier10.1007/s40430-013-0126-7
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84907587471&partnerID=40&md5=8f8cc4b52cebbe6bd8f705568b312afe
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/86554
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/86554
dc.identifier2-s2.0-84907587471
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246396
dc.descriptionThe 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.
dc.description36
dc.description4
dc.description901
dc.description918
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dc.languageen
dc.publisherSpringer Verlag
dc.relationJournal of the Brazilian Society of Mechanical Sciences and Engineering
dc.rightsfechado
dc.sourceScopus
dc.titleA Method For Reduction Of Uncertainties In Reservoir Model Using Observed Data: Application To A Complex Case
dc.typeArtículos de revistas


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