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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleIntegration Of History Matching And Uncertainty Analysispt_BR
dc.contributor.authorSchiozer D.J.pt_BR
dc.contributor.authorAlmeida Netto S.L.pt_BR
dc.contributor.authorLigero E.L.pt_BR
dc.contributor.authorMaschio C.pt_BR
unicamp.authorSchiozer, D.J., University of Campinas (UNICAMP), Brazil, Petroleum Engineering Department, State University of Campinas (UNICAMP), Brazilpt_BR
unicamp.authorLigero, E.L., University of Campinas (UNICAMP), Brazil, Petroleum Engineering Department, State University of Campinas (UNICAMP), Brazilpt_BR
unicamp.authorMaschio, C., University of Campinas (UNICAMP), Brazil, Petroleum Engineering Department, State University of Campinas (UNICAMP), Brazilpt_BR
unicamp.author.externalAlmeida Netto, S.L., Petrobras, Brazil, Petrobras Brazilian Oil Company, Brazilpt
dc.description.abstractThe most common procedure to perform a production history matching is to start with a base model and modify reservoir and fluid properties to adjust simulation results with the production history of the field. This paper presents an example of a different procedure. The history matching starts with an uncertainty analysis where several possible models are generated and the models that do not reproduce the behaviour of the reservoir are discarded: 1) allowing a faster history matching process; 2) increasing confidence in the process; and, 3) adding uncertainty analysis to the production prediction. The methodology starts with a dynamic sensitivity analysis based on simulation of models where uncertain attributes are tested and compared with a base model. The attributes are then selected and combined in a derivative tree. Several models are evaluated and those that do not match the production and pressure history are discarded, reducing uncertainty in prediction of the behaviour of the reservoir. This methodology was motivated by a reservoir with unexpected behaviour that yielded a difficult history matching when considering the usual procedures. Techniques were developed to analyze reservoir performance and differential pressure maps between zones. New approaches to assess connectivity between zones were used to give alternate structural models to the sensitivity analysis. This methodology may be helpful during the first years of production when uncertainties are still significant and when typical procedures to perform production history matching are unable to solve the problem efficiently.en
dc.relation.ispartofJournal of Canadian Petroleum Technologypt_BR
dc.date.issued2005pt_BR
dc.identifier.citationJournal Of Canadian Petroleum Technology. , v. 44, n. 7, p. 41 - 46, 2005.pt_BR
dc.language.isoenpt_BR
dc.description.volume44pt_BR
dc.description.issuenumber7pt_BR
dc.description.firstpage41pt_BR
dc.description.lastpage46pt_BR
dc.rightsfechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn219487pt_BR
dc.identifier.doipt_BR
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-24644500172&partnerID=40&md5=8b1e375f4fd5732dc056e968b6dfc548pt_BR
dc.date.available2015-06-26T14:10:03Z
dc.date.available2015-11-26T14:10:22Z-
dc.date.accessioned2015-06-26T14:10:03Z
dc.date.accessioned2015-11-26T14:10:22Z-
dc.description.provenanceMade available in DSpace on 2015-06-26T14:10:03Z (GMT). No. of bitstreams: 0 Previous issue date: 2005en
dc.description.provenanceMade available in DSpace on 2015-11-26T14:10:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2005en
dc.identifier.urihttp://www.repositorio.unicamp.br/handle/REPOSIP/93950
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93950-
dc.identifier.idScopus2-s2.0-24644500172pt_BR
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