A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques

dc.creatorMaschio, C
dc.creatorde Carvalho, CPV
dc.creatorSchiozer, DJ
dc.date2010
dc.dateMAY
dc.date2014-11-14T02:27:36Z
dc.date2015-11-26T17:12:33Z
dc.date2014-11-14T02:27:36Z
dc.date2015-11-26T17:12:33Z
dc.date.accessioned2018-03-29T00:00:58Z
dc.date.available2018-03-29T00:00:58Z
dc.identifierJournal Of Petroleum Science And Engineering. Elsevier Science Bv, v. 72, n. 41671, n. 110, n. 119, 2010.
dc.identifier0920-4105
dc.identifierWOS:000278969700012
dc.identifier10.1016/j.petrol.2010.03.008
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/76314
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/76314
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/76314
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281358
dc.descriptionThis paper presents a new method to reduce uncertainties in reservoir simulation models using observed data and sampling techniques. The proposed methodology is able to deal with problems with a high number of reservoir uncertain attributes and includes the development of a probability redistribution algorithm using observed data. The use of Latin Hypercube technique in the construction of uncertainty curves that is a quantitative representation of the overall uncertainty of the problem studied was also proposed. Based on new probability distributions, selective samples are carried out through the Latin Hypercube technique. The methodology was evaluated using two case studies. The first one, used for validation purposes, is a simple reservoir with 8 attributes: the second one is a more complex case with 16 attributes. The results presented in the paper showed that the proposed methodology can be efficiently used in the integrated study of history matching and uncertainty analysis, providing a practical way to increase the reliability of prediction through reservoir simulation models reducing the uncertainty through observed data. (C) 2010 Elsevier B.V. All rights reserved.
dc.description72
dc.description41671
dc.description110
dc.description119
dc.descriptionUNISIM
dc.descriptionANP (PRH)
dc.descriptionPETROBRAS (REDE SIGER)
dc.descriptionCEPETRO
dc.descriptionDepartment of Petroleum Engineering
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationJournal Of Petroleum Science And Engineering
dc.relationJ. Pet. Sci. Eng.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectreservoir simulation
dc.subjecthistory matching
dc.subjectuncertainty
dc.subjectsampling techniques
dc.subjectLatin Hypercube
dc.subjectDynamic Data
dc.subjectOptimization
dc.titleA new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques
dc.typeArtículos de revistas


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