Petroleum Reservoir Uncertainty Mitigation Through The Integration With Production History Matching

dc.creatorBecerra G.G.
dc.creatorMaschio C.
dc.creatorSchiozer D.J.
dc.date2011
dc.date2015-06-30T20:20:33Z
dc.date2015-11-26T14:48:18Z
dc.date2015-06-30T20:20:33Z
dc.date2015-11-26T14:48:18Z
dc.date.accessioned2018-03-28T21:59:02Z
dc.date.available2018-03-28T21:59:02Z
dc.identifier
dc.identifierJournal Of The Brazilian Society Of Mechanical Sciences And Engineering. , v. 33, n. 2, p. 147 - 158, 2011.
dc.identifier16785878
dc.identifier10.1590/S1678-58782011000200005
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-80052314918&partnerID=40&md5=c7cd710bdab89f4dd4e9e5c5fefb8c41
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/107619
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/107619
dc.identifier2-s2.0-80052314918
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1253562
dc.descriptionThis paper presents a new methodology to deal with uncertainty mitigation using observed data, integrating the uncertainty analysis and the history matching processes. The proposed method is robust and easy to use, offering an alternative way to traditional history matching methodologies. The main characteristic of the methodology is the use of observed data as constraints to reduce the uncertainty of the reservoir parameters. The integration of uncertainty analysis with history matching naturally yields prediction under uncertainty. The workflow permits to establish a target range of uncertainty that characterize a confidence interval of the probabilistic distribution curves around the observed data. A complete workflow of the proposed methodology was carried out in a realistic model based on outcrop data and the impact of the uncertainty reduction in the production forecasting was evaluated. It was demonstrated that for complex cases, with a high number of uncertain attributes and several objective-function, the methodology can be applied in steps, beginning with a field analysis followed by regional and local (well level) analyses. The main contribution of this work is to provide an interesting way to quantify and to reduce uncertainties with the objective to generate reliable scenario-based models for consistent production prediction. © 2011 by ABCM.
dc.description33
dc.description2
dc.description147
dc.description158
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dc.languageen
dc.publisher
dc.relationJournal of the Brazilian Society of Mechanical Sciences and Engineering
dc.rightsfechado
dc.sourceScopus
dc.titlePetroleum Reservoir Uncertainty Mitigation Through The Integration With Production History Matching
dc.typeArtículos de revistas


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