Risk Assessment Of Oil Fields Using Proxy Models: A Case Study

dc.creatorRisso F.V.A.
dc.creatorRisso V.F.
dc.creatorSchiozer D.J.
dc.date2008
dc.date2015-06-30T19:15:05Z
dc.date2015-11-26T14:40:21Z
dc.date2015-06-30T19:15:05Z
dc.date2015-11-26T14:40:21Z
dc.date.accessioned2018-03-28T21:46:35Z
dc.date.available2018-03-28T21:46:35Z
dc.identifier
dc.identifierJournal Of Canadian Petroleum Technology. , v. 47, n. 8, p. 9 - 14, 2008.
dc.identifier219487
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-49749135103&partnerID=40&md5=9ae7d9f3825f4f0d11d1d8b59d1d7c21
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/105419
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/105419
dc.identifier2-s2.0-49749135103
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1250379
dc.descriptionReservoir studies commonly consider many scenarios, cases and realizations. However, reservoir simulation can be expensive. Statistical design has been used in reservoir engineering applications, including performance prediction, uncertainty modelling, sensitivity studies, upscaling, history matching and development optimization. If reservoir simulation studies are conducted with a statistical design, response surface models can estimate how the variation of input factors affects reservoir behaviour with a relatively small number of reservoir simulation models. In petroleum exploration and production, a decision has to consider the risk involved in the process which can be obtained by quantifying the impact of uncertainties on the performance of the petroleum field in question. The process is even more critical because most of the investments are realized during the phase in which the uncertainties are greater. The statistical design is efficient to quantify the impact of the uncertainties of the reservoirs in the production forecast and to reduce the number of simulations to obtain the risk curve. The main objective of this work is the application of the statistical design: Box-Behnken and Central Composite Design using different attributes ranges. To compare the precision of the results, different techniques are used. These are the Derivative Tree Technique by simulation flow, the Monte Carlo Technique and the Response Surface Methodology.
dc.description47
dc.description8
dc.description9
dc.description14
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dc.languageen
dc.publisher
dc.relationJournal of Canadian Petroleum Technology
dc.rightsfechado
dc.sourceScopus
dc.titleRisk Assessment Of Oil Fields Using Proxy Models: A Case Study
dc.typeActas de congresos


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