Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network

Detalhes bibliográficos
Autor(a) principal: CARLOS, JÂNDER
Data de Publicação: 2023
Outros Autores: Camponogara, Eduardo, Seman, Laio Oriel, Torreblanca González, José, LEITHARDT, VALDERI
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/43535
Resumo: The deployment of offshore platforms for the extraction of oil and gas from subsea reservoirs presents unique challenges, particularly when multiple platforms are connected by a subsea gas network. In the Santos basin, the aim is to maximize oil production while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream. To address these challenges, a novel methodology has been proposed that uses boundary conditions to coordinate the use of shared resources among the platforms. This approach decouples the optimization of oil production in platforms from the coordination of shared resources, allowing for more efficient and effective operation of the offshore oilfield. In addition to this methodology, a fast and accurate proxy model has been developed for gas pipeline networks. This model allows for efficient optimization of the gas flow through the network, taking into account the physical and operational constraints of the system. In experiments, the use of the proposed proxy model in tandem with derivativefree optimization algorithms resulted in an average error of less than 5% in pressure calculations, and a processing time that was over up to 1000 times faster than the phenomenological simulator. These results demonstrate the effectiveness and efficiency of the proposed methodology in optimizing oil production in offshore platforms connected by a subsea gas network, while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream.
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spelling Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas NetworkOil production systemssubsea gas networksproxy modelingderivative-free optimizationThe deployment of offshore platforms for the extraction of oil and gas from subsea reservoirs presents unique challenges, particularly when multiple platforms are connected by a subsea gas network. In the Santos basin, the aim is to maximize oil production while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream. To address these challenges, a novel methodology has been proposed that uses boundary conditions to coordinate the use of shared resources among the platforms. This approach decouples the optimization of oil production in platforms from the coordination of shared resources, allowing for more efficient and effective operation of the offshore oilfield. In addition to this methodology, a fast and accurate proxy model has been developed for gas pipeline networks. This model allows for efficient optimization of the gas flow through the network, taking into account the physical and operational constraints of the system. In experiments, the use of the proposed proxy model in tandem with derivativefree optimization algorithms resulted in an average error of less than 5% in pressure calculations, and a processing time that was over up to 1000 times faster than the phenomenological simulator. These results demonstrate the effectiveness and efficiency of the proposed methodology in optimizing oil production in offshore platforms connected by a subsea gas network, while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream.Repositório ComumCARLOS, JÂNDERCamponogara, EduardoSeman, Laio OrielTorreblanca González, JoséLEITHARDT, VALDERI2023-02-01T16:32:39Z20232023-01-23T21:54:58Z2023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/43535engcv-prod-312499910.1109/ACCESS.2023.3239421info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-02-16T10:30:15Zoai:comum.rcaap.pt:10400.26/43535Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:46:42.908307Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
title Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
spellingShingle Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
CARLOS, JÂNDER
Oil production systems
subsea gas networks
proxy modeling
derivative-free optimization
title_short Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
title_full Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
title_fullStr Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
title_full_unstemmed Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
title_sort Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
author CARLOS, JÂNDER
author_facet CARLOS, JÂNDER
Camponogara, Eduardo
Seman, Laio Oriel
Torreblanca González, José
LEITHARDT, VALDERI
author_role author
author2 Camponogara, Eduardo
Seman, Laio Oriel
Torreblanca González, José
LEITHARDT, VALDERI
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv CARLOS, JÂNDER
Camponogara, Eduardo
Seman, Laio Oriel
Torreblanca González, José
LEITHARDT, VALDERI
dc.subject.por.fl_str_mv Oil production systems
subsea gas networks
proxy modeling
derivative-free optimization
topic Oil production systems
subsea gas networks
proxy modeling
derivative-free optimization
description The deployment of offshore platforms for the extraction of oil and gas from subsea reservoirs presents unique challenges, particularly when multiple platforms are connected by a subsea gas network. In the Santos basin, the aim is to maximize oil production while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream. To address these challenges, a novel methodology has been proposed that uses boundary conditions to coordinate the use of shared resources among the platforms. This approach decouples the optimization of oil production in platforms from the coordination of shared resources, allowing for more efficient and effective operation of the offshore oilfield. In addition to this methodology, a fast and accurate proxy model has been developed for gas pipeline networks. This model allows for efficient optimization of the gas flow through the network, taking into account the physical and operational constraints of the system. In experiments, the use of the proposed proxy model in tandem with derivativefree optimization algorithms resulted in an average error of less than 5% in pressure calculations, and a processing time that was over up to 1000 times faster than the phenomenological simulator. These results demonstrate the effectiveness and efficiency of the proposed methodology in optimizing oil production in offshore platforms connected by a subsea gas network, while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-01T16:32:39Z
2023
2023-01-23T21:54:58Z
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/43535
url http://hdl.handle.net/10400.26/43535
dc.language.iso.fl_str_mv eng
language eng
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10.1109/ACCESS.2023.3239421
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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