Publicação: Energy optimization of an FPSO operating in the Brazilian Pre-salt region
dc.contributor.author | Allahyarzadeh-Bidgoli, Ali | |
dc.contributor.author | Salviano, Leandro Oliveira [UNESP] | |
dc.contributor.author | Dezan, Daniel Jonas | |
dc.contributor.author | Oliveira Junior, Silvio de | |
dc.contributor.author | Yanagihara, Jurandir Itizo | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Federal do ABC (UFABC) | |
dc.date.accessioned | 2019-10-04T12:31:33Z | |
dc.date.available | 2019-10-04T12:31:33Z | |
dc.date.issued | 2018-12-01 | |
dc.description.abstract | FPSO (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.affiliation | Univ Sao Paulo, Sch Engn, Dept Mech Engn, Sao Paulo, Brazil | |
dc.description.affiliation | Sao Paulo State Univ, Dept Mech Engn, Ilha Solteira, Brazil | |
dc.description.affiliation | Fed Univ ABC, Energy Engn, Santo Andre, Brazil | |
dc.description.affiliationUnesp | Sao Paulo State Univ, Dept Mech Engn, Ilha Solteira, Brazil | |
dc.description.sponsorship | National Agency of Petroleum, Natural Gas and Biofuels (ANP) | |
dc.description.sponsorship | Shell Brazil Ltda, through the Investment in Research, Development and Innovation Clause | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description.sponsorshipId | CNPq: 304935/2016-6 | |
dc.description.sponsorshipId | CNPq: 307421/2014-7 | |
dc.format.extent | 390-399 | |
dc.identifier | http://dx.doi.org/10.1016/j.energy.2018.08.203 | |
dc.identifier.citation | Energy. Oxford: Pergamon-elsevier Science Ltd, v. 164, p. 390-399, 2018. | |
dc.identifier.doi | 10.1016/j.energy.2018.08.203 | |
dc.identifier.issn | 0360-5442 | |
dc.identifier.uri | http://hdl.handle.net/11449/184977 | |
dc.identifier.wos | WOS:000448098600031 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Energy | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.subject | Offshore oil and gas processing platform | |
dc.subject | Thermodynamic analysis | |
dc.subject | Optimization | |
dc.subject | Genetic algorithm | |
dc.title | Energy optimization of an FPSO operating in the Brazilian Pre-salt region | en |
dc.type | Artigo | |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. | |
dspace.entity.type | Publication | |
unesp.department | Engenharia Mecânica - FEIS | pt |