Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
dc.relation.none.fl_str_mv |
cv-prod-3124999 10.1109/ACCESS.2023.3239421 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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