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Energy optimization of an FPSO operating in the Brazilian Pre-salt region

dc.contributor.authorAllahyarzadeh-Bidgoli, Ali
dc.contributor.authorSalviano, Leandro Oliveira [UNESP]
dc.contributor.authorDezan, Daniel Jonas
dc.contributor.authorOliveira Junior, Silvio de
dc.contributor.authorYanagihara, Jurandir Itizo
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do ABC (UFABC)
dc.date.accessioned2019-10-04T12:31:33Z
dc.date.available2019-10-04T12:31:33Z
dc.date.issued2018-12-01
dc.description.abstractFPSO (Floating, Production, Storage and Offloading) units are used for primary petroleum processing. The FPSO units have a technical advantage for short-lived well exploration and for remote marginal fields, where building a pipeline is cost-prohibitive. Considering the relevance of the FPSOs for the Brazilian petroleum market, the main goal of this paper is to present an optimization procedure to find the best operating conditions of a primary petroleum platform processing crude oil with high gas-oil ratio (GOR) and moderate CO2 content. Seven input parameters related to operating pressures of plant are selected for the optimization procedure aiming to minimize the total fuel consumption (FUE) of the FPSO. For the optimization procedure, the processing plant of the FPSO is modeled and simulated by using Aspen HYSYS (R), and the Genetic Algorithm is used for minimizing the objective function. The optimum operating condition found by the optimization procedure presented a reduction in fuel consumption by 4.6% when compared to a conventional operating condition. Moreover, because of the fuel consumption optimization, a significant reduction by 63% in the power consumption of the plant and an improvement in the recovery of the volatile components were verified, in comparison with the baseline case. (C) 2018 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUniv Sao Paulo, Sch Engn, Dept Mech Engn, Sao Paulo, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Mech Engn, Ilha Solteira, Brazil
dc.description.affiliationFed Univ ABC, Energy Engn, Santo Andre, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Mech Engn, Ilha Solteira, Brazil
dc.description.sponsorshipNational Agency of Petroleum, Natural Gas and Biofuels (ANP)
dc.description.sponsorshipShell Brazil Ltda, through the Investment in Research, Development and Innovation Clause
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 304935/2016-6
dc.description.sponsorshipIdCNPq: 307421/2014-7
dc.format.extent390-399
dc.identifierhttp://dx.doi.org/10.1016/j.energy.2018.08.203
dc.identifier.citationEnergy. Oxford: Pergamon-elsevier Science Ltd, v. 164, p. 390-399, 2018.
dc.identifier.doi10.1016/j.energy.2018.08.203
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/11449/184977
dc.identifier.wosWOS:000448098600031
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofEnergy
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectOffshore oil and gas processing platform
dc.subjectThermodynamic analysis
dc.subjectOptimization
dc.subjectGenetic algorithm
dc.titleEnergy optimization of an FPSO operating in the Brazilian Pre-salt regionen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.departmentEngenharia Mecânica - FEISpt

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