Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding
- Autores
- Presser, Demian Javier; Cafaro, Vanina; Cafaro, Diego Carlos
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Polymer flooding is one of the most extensively applied techniques for enhanced oil recovery (EOR) that relies on increasing the injected fluid viscosity by adding polymers in different concentrations. The aim is to improve the mobility ratio between the oil and the displacing fluid, reducing channeling effects and boosting sweep efficiency. In this work, a mixed-integer nonlinear optimization approach is developed in order to address production planning decisions, also assessing the convenience of polymer flooding in EOR projects on screening stages. This decision-making tool allows establishing optimal polymer injection strategies, setting fluid injection rates and polymer concentrations, selecting wells, and scheduling slug change operations over the planning horizon, with the aim of maximizing the net present value of the project. We propose a novel formulation combining transport phenomenon models, well productivity forecast, and geometric abstraction of the reservoir in order to address both technical and economic decisions with low computational effort. Results show that optimized strategies may outperform typical operations by up to 17% and can be found in shorter central processing unit times in comparison to traditional reservoir simulation approaches. The model has been used to tackle problems with up to 7 wells and can be tuned to different reservoir conditions.
Fil: Presser, Demian Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina - Materia
-
ENHANCED OIL RECOVERY (EOR)
OPTIMIZATION
POLYMER FLOODING
PLANNING
MINLP - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/137545
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Optimal Production Strategies for the Development of Mature Oil Fields through Polymer FloodingPresser, Demian JavierCafaro, VaninaCafaro, Diego CarlosENHANCED OIL RECOVERY (EOR)OPTIMIZATIONPOLYMER FLOODINGPLANNINGMINLPhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Polymer flooding is one of the most extensively applied techniques for enhanced oil recovery (EOR) that relies on increasing the injected fluid viscosity by adding polymers in different concentrations. The aim is to improve the mobility ratio between the oil and the displacing fluid, reducing channeling effects and boosting sweep efficiency. In this work, a mixed-integer nonlinear optimization approach is developed in order to address production planning decisions, also assessing the convenience of polymer flooding in EOR projects on screening stages. This decision-making tool allows establishing optimal polymer injection strategies, setting fluid injection rates and polymer concentrations, selecting wells, and scheduling slug change operations over the planning horizon, with the aim of maximizing the net present value of the project. We propose a novel formulation combining transport phenomenon models, well productivity forecast, and geometric abstraction of the reservoir in order to address both technical and economic decisions with low computational effort. Results show that optimized strategies may outperform typical operations by up to 17% and can be found in shorter central processing unit times in comparison to traditional reservoir simulation approaches. The model has been used to tackle problems with up to 7 wells and can be tuned to different reservoir conditions.Fil: Presser, Demian Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaAmerican Chemical Society2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/137545Presser, Demian Javier; Cafaro, Vanina; Cafaro, Diego Carlos; Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding; American Chemical Society; Industrial & Engineering Chemical Research; 60; 28; 7-2021; 10235–102530888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.1c00803info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.1c00803info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:59:04Zoai:ri.conicet.gov.ar:11336/137545instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:59:05.167CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
title |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
spellingShingle |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding Presser, Demian Javier ENHANCED OIL RECOVERY (EOR) OPTIMIZATION POLYMER FLOODING PLANNING MINLP |
title_short |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
title_full |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
title_fullStr |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
title_full_unstemmed |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
title_sort |
Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding |
dc.creator.none.fl_str_mv |
Presser, Demian Javier Cafaro, Vanina Cafaro, Diego Carlos |
author |
Presser, Demian Javier |
author_facet |
Presser, Demian Javier Cafaro, Vanina Cafaro, Diego Carlos |
author_role |
author |
author2 |
Cafaro, Vanina Cafaro, Diego Carlos |
author2_role |
author author |
dc.subject.none.fl_str_mv |
ENHANCED OIL RECOVERY (EOR) OPTIMIZATION POLYMER FLOODING PLANNING MINLP |
topic |
ENHANCED OIL RECOVERY (EOR) OPTIMIZATION POLYMER FLOODING PLANNING MINLP |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Polymer flooding is one of the most extensively applied techniques for enhanced oil recovery (EOR) that relies on increasing the injected fluid viscosity by adding polymers in different concentrations. The aim is to improve the mobility ratio between the oil and the displacing fluid, reducing channeling effects and boosting sweep efficiency. In this work, a mixed-integer nonlinear optimization approach is developed in order to address production planning decisions, also assessing the convenience of polymer flooding in EOR projects on screening stages. This decision-making tool allows establishing optimal polymer injection strategies, setting fluid injection rates and polymer concentrations, selecting wells, and scheduling slug change operations over the planning horizon, with the aim of maximizing the net present value of the project. We propose a novel formulation combining transport phenomenon models, well productivity forecast, and geometric abstraction of the reservoir in order to address both technical and economic decisions with low computational effort. Results show that optimized strategies may outperform typical operations by up to 17% and can be found in shorter central processing unit times in comparison to traditional reservoir simulation approaches. The model has been used to tackle problems with up to 7 wells and can be tuned to different reservoir conditions. Fil: Presser, Demian Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Cafaro, Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina |
description |
Polymer flooding is one of the most extensively applied techniques for enhanced oil recovery (EOR) that relies on increasing the injected fluid viscosity by adding polymers in different concentrations. The aim is to improve the mobility ratio between the oil and the displacing fluid, reducing channeling effects and boosting sweep efficiency. In this work, a mixed-integer nonlinear optimization approach is developed in order to address production planning decisions, also assessing the convenience of polymer flooding in EOR projects on screening stages. This decision-making tool allows establishing optimal polymer injection strategies, setting fluid injection rates and polymer concentrations, selecting wells, and scheduling slug change operations over the planning horizon, with the aim of maximizing the net present value of the project. We propose a novel formulation combining transport phenomenon models, well productivity forecast, and geometric abstraction of the reservoir in order to address both technical and economic decisions with low computational effort. Results show that optimized strategies may outperform typical operations by up to 17% and can be found in shorter central processing unit times in comparison to traditional reservoir simulation approaches. The model has been used to tackle problems with up to 7 wells and can be tuned to different reservoir conditions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/137545 Presser, Demian Javier; Cafaro, Vanina; Cafaro, Diego Carlos; Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding; American Chemical Society; Industrial & Engineering Chemical Research; 60; 28; 7-2021; 10235–10253 0888-5885 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/137545 |
identifier_str_mv |
Presser, Demian Javier; Cafaro, Vanina; Cafaro, Diego Carlos; Optimal Production Strategies for the Development of Mature Oil Fields through Polymer Flooding; American Chemical Society; Industrial & Engineering Chemical Research; 60; 28; 7-2021; 10235–10253 0888-5885 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.1c00803 info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.1c00803 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Chemical Society |
publisher.none.fl_str_mv |
American Chemical Society |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613755627896832 |
score |
13.070432 |