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

Detalhes bibliográficos
Autor(a) principal: Allahyarzadeh-Bidgoli, Ali
Data de Publicação: 2018
Outros Autores: Salviano, Leandro Oliveira [UNESP], Dezan, Daniel Jonas, Oliveira Junior, Silvio de, Yanagihara, Jurandir Itizo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.energy.2018.08.203
http://hdl.handle.net/11449/184977
Resumo: 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.
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spelling Energy optimization of an FPSO operating in the Brazilian Pre-salt regionOffshore oil and gas processing platformThermodynamic analysisOptimizationGenetic algorithmFPSO (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.National Agency of Petroleum, Natural Gas and Biofuels (ANP)Shell Brazil Ltda, through the Investment in Research, Development and Innovation ClauseConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Sao Paulo, Sch Engn, Dept Mech Engn, Sao Paulo, BrazilSao Paulo State Univ, Dept Mech Engn, Ilha Solteira, BrazilFed Univ ABC, Energy Engn, Santo Andre, BrazilSao Paulo State Univ, Dept Mech Engn, Ilha Solteira, BrazilCNPq: 304935/2016-6CNPq: 307421/2014-7Elsevier B.V.Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Universidade Federal do ABC (UFABC)Allahyarzadeh-Bidgoli, AliSalviano, Leandro Oliveira [UNESP]Dezan, Daniel JonasOliveira Junior, Silvio deYanagihara, Jurandir Itizo2019-10-04T12:31:33Z2019-10-04T12:31:33Z2018-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article390-399http://dx.doi.org/10.1016/j.energy.2018.08.203Energy. Oxford: Pergamon-elsevier Science Ltd, v. 164, p. 390-399, 2018.0360-5442http://hdl.handle.net/11449/18497710.1016/j.energy.2018.08.203WOS:000448098600031Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnergyinfo:eu-repo/semantics/openAccess2024-07-04T20:06:14Zoai:repositorio.unesp.br:11449/184977Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:26:55.941300Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Energy optimization of an FPSO operating in the Brazilian Pre-salt region
title Energy optimization of an FPSO operating in the Brazilian Pre-salt region
spellingShingle Energy optimization of an FPSO operating in the Brazilian Pre-salt region
Allahyarzadeh-Bidgoli, Ali
Offshore oil and gas processing platform
Thermodynamic analysis
Optimization
Genetic algorithm
title_short Energy optimization of an FPSO operating in the Brazilian Pre-salt region
title_full Energy optimization of an FPSO operating in the Brazilian Pre-salt region
title_fullStr Energy optimization of an FPSO operating in the Brazilian Pre-salt region
title_full_unstemmed Energy optimization of an FPSO operating in the Brazilian Pre-salt region
title_sort Energy optimization of an FPSO operating in the Brazilian Pre-salt region
author Allahyarzadeh-Bidgoli, Ali
author_facet Allahyarzadeh-Bidgoli, Ali
Salviano, Leandro Oliveira [UNESP]
Dezan, Daniel Jonas
Oliveira Junior, Silvio de
Yanagihara, Jurandir Itizo
author_role author
author2 Salviano, Leandro Oliveira [UNESP]
Dezan, Daniel Jonas
Oliveira Junior, Silvio de
Yanagihara, Jurandir Itizo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Universidade Federal do ABC (UFABC)
dc.contributor.author.fl_str_mv Allahyarzadeh-Bidgoli, Ali
Salviano, Leandro Oliveira [UNESP]
Dezan, Daniel Jonas
Oliveira Junior, Silvio de
Yanagihara, Jurandir Itizo
dc.subject.por.fl_str_mv Offshore oil and gas processing platform
Thermodynamic analysis
Optimization
Genetic algorithm
topic Offshore oil and gas processing platform
Thermodynamic analysis
Optimization
Genetic algorithm
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
2019-10-04T12:31:33Z
2019-10-04T12:31:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.energy.2018.08.203
Energy. Oxford: Pergamon-elsevier Science Ltd, v. 164, p. 390-399, 2018.
0360-5442
http://hdl.handle.net/11449/184977
10.1016/j.energy.2018.08.203
WOS:000448098600031
url http://dx.doi.org/10.1016/j.energy.2018.08.203
http://hdl.handle.net/11449/184977
identifier_str_mv Energy. Oxford: Pergamon-elsevier Science Ltd, v. 164, p. 390-399, 2018.
0360-5442
10.1016/j.energy.2018.08.203
WOS:000448098600031
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Energy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 390-399
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128933795725312