A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery

Autores
Céspedes, Santiago; Molina, Alejandro; Lerner, Betiana; Pérez, Maximiliano S.; Franco, Camilo A.; Cortés, Farid B.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A selection flowchart that assists, through Computational Fluid Dynamics (CFD) simulations, the design of microfluidic experiments used to distinguish the performance in Chemical Enhanced Oil Recovery (CEOR) of two surfactants with very similar values of interfacial tension (IFT) was proposed and its use demonstrated. The selection flowchart first proposes an experimental design for certain modified variables (⃗: porosity, grain shape, the presence of preferential flowing channels, and injection velocity). Experiments are then performed through CFD simulations to obtain a set of response variables ( ⃗: recovery factor, breakthrough time, the fractal dimension of flow pattern, pressure drop, and entrapment effect). A sensitivity analysis of ⃗ regarding the differences in the interfacial tension (IFT) can indicate the CFD experiments that could have more success when distinguishing between two surfactants with similar IFTs (0.037 mN/m and 0.045 mN/m). In the range of modifiable variables evaluated in this study (porosity values of 0.5 and 0.7, circular and irregular grain shape, with and without preferential flowing channel, injection velocities of 10 ft/day and 30 ft/day), the entrapment effect is the response variable that is most affected by changes in IFT. The response of the recovery factor and the breakthrough time was also significant, while the fractal dimension of the flow and the pressure drop had the lowest sensitivity to different IFTs. The experimental conditions that rendered the highest sensitivity to changes in IFT were a low porosity (0.5) and a high injection flow (30 ft/day). The response to the presence of preferential channels and the pore shape was negligible. The approach developed in this research facilitates, through CFD simulations, the study of CEOR processes with microfluidic devices. It reduces the number of experiments and increases the probability of their success.
Fil: Céspedes, Santiago. Universidad Nacional de Colombia; Colombia
Fil: Molina, Alejandro. Universidad Nacional de Colombia; Colombia
Fil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados Unidos
Fil: Pérez, Maximiliano S.. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados Unidos
Fil: Franco, Camilo A.. Universidad Nacional de Colombia; Colombia
Fil: Cortés, Farid B.. Universidad Nacional de Colombia; Colombia
Materia
CHEMICAL ENHANCED OIL RECOVERY
COMPUTATIONAL FLUID DYNAMIC SIMULATIONS
MICROFLUIDICS
SURFACTANT FLOODING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/157582
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/157582
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil RecoveryCéspedes, SantiagoMolina, AlejandroLerner, BetianaPérez, Maximiliano S.Franco, Camilo A.Cortés, Farid B.CHEMICAL ENHANCED OIL RECOVERYCOMPUTATIONAL FLUID DYNAMIC SIMULATIONSMICROFLUIDICSSURFACTANT FLOODINGhttps://purl.org/becyt/ford/2.10https://purl.org/becyt/ford/2A selection flowchart that assists, through Computational Fluid Dynamics (CFD) simulations, the design of microfluidic experiments used to distinguish the performance in Chemical Enhanced Oil Recovery (CEOR) of two surfactants with very similar values of interfacial tension (IFT) was proposed and its use demonstrated. The selection flowchart first proposes an experimental design for certain modified variables (⃗: porosity, grain shape, the presence of preferential flowing channels, and injection velocity). Experiments are then performed through CFD simulations to obtain a set of response variables ( ⃗: recovery factor, breakthrough time, the fractal dimension of flow pattern, pressure drop, and entrapment effect). A sensitivity analysis of ⃗ regarding the differences in the interfacial tension (IFT) can indicate the CFD experiments that could have more success when distinguishing between two surfactants with similar IFTs (0.037 mN/m and 0.045 mN/m). In the range of modifiable variables evaluated in this study (porosity values of 0.5 and 0.7, circular and irregular grain shape, with and without preferential flowing channel, injection velocities of 10 ft/day and 30 ft/day), the entrapment effect is the response variable that is most affected by changes in IFT. The response of the recovery factor and the breakthrough time was also significant, while the fractal dimension of the flow and the pressure drop had the lowest sensitivity to different IFTs. The experimental conditions that rendered the highest sensitivity to changes in IFT were a low porosity (0.5) and a high injection flow (30 ft/day). The response to the presence of preferential channels and the pore shape was negligible. The approach developed in this research facilitates, through CFD simulations, the study of CEOR processes with microfluidic devices. It reduces the number of experiments and increases the probability of their success.Fil: Céspedes, Santiago. Universidad Nacional de Colombia; ColombiaFil: Molina, Alejandro. Universidad Nacional de Colombia; ColombiaFil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados UnidosFil: Pérez, Maximiliano S.. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados UnidosFil: Franco, Camilo A.. Universidad Nacional de Colombia; ColombiaFil: Cortés, Farid B.. Universidad Nacional de Colombia; ColombiaMultidisciplinary Digital Publishing Institute2021-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/157582Céspedes, Santiago; Molina, Alejandro; Lerner, Betiana; Pérez, Maximiliano S.; Franco, Camilo A.; et al.; A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery; Multidisciplinary Digital Publishing Institute; Processes; 9; 11; 11-2021; 1-232227-9717CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi//10.3390/pr9111887info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-9717/9/11/1887info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:51Zoai:ri.conicet.gov.ar:11336/157582instacron: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:34982025-09-03 10:07:51.876CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
title A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
spellingShingle A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
Céspedes, Santiago
CHEMICAL ENHANCED OIL RECOVERY
COMPUTATIONAL FLUID DYNAMIC SIMULATIONS
MICROFLUIDICS
SURFACTANT FLOODING
title_short A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
title_full A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
title_fullStr A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
title_full_unstemmed A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
title_sort A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery
dc.creator.none.fl_str_mv Céspedes, Santiago
Molina, Alejandro
Lerner, Betiana
Pérez, Maximiliano S.
Franco, Camilo A.
Cortés, Farid B.
author Céspedes, Santiago
author_facet Céspedes, Santiago
Molina, Alejandro
Lerner, Betiana
Pérez, Maximiliano S.
Franco, Camilo A.
Cortés, Farid B.
author_role author
author2 Molina, Alejandro
Lerner, Betiana
Pérez, Maximiliano S.
Franco, Camilo A.
Cortés, Farid B.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CHEMICAL ENHANCED OIL RECOVERY
COMPUTATIONAL FLUID DYNAMIC SIMULATIONS
MICROFLUIDICS
SURFACTANT FLOODING
topic CHEMICAL ENHANCED OIL RECOVERY
COMPUTATIONAL FLUID DYNAMIC SIMULATIONS
MICROFLUIDICS
SURFACTANT FLOODING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.10
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A selection flowchart that assists, through Computational Fluid Dynamics (CFD) simulations, the design of microfluidic experiments used to distinguish the performance in Chemical Enhanced Oil Recovery (CEOR) of two surfactants with very similar values of interfacial tension (IFT) was proposed and its use demonstrated. The selection flowchart first proposes an experimental design for certain modified variables (⃗: porosity, grain shape, the presence of preferential flowing channels, and injection velocity). Experiments are then performed through CFD simulations to obtain a set of response variables ( ⃗: recovery factor, breakthrough time, the fractal dimension of flow pattern, pressure drop, and entrapment effect). A sensitivity analysis of ⃗ regarding the differences in the interfacial tension (IFT) can indicate the CFD experiments that could have more success when distinguishing between two surfactants with similar IFTs (0.037 mN/m and 0.045 mN/m). In the range of modifiable variables evaluated in this study (porosity values of 0.5 and 0.7, circular and irregular grain shape, with and without preferential flowing channel, injection velocities of 10 ft/day and 30 ft/day), the entrapment effect is the response variable that is most affected by changes in IFT. The response of the recovery factor and the breakthrough time was also significant, while the fractal dimension of the flow and the pressure drop had the lowest sensitivity to different IFTs. The experimental conditions that rendered the highest sensitivity to changes in IFT were a low porosity (0.5) and a high injection flow (30 ft/day). The response to the presence of preferential channels and the pore shape was negligible. The approach developed in this research facilitates, through CFD simulations, the study of CEOR processes with microfluidic devices. It reduces the number of experiments and increases the probability of their success.
Fil: Céspedes, Santiago. Universidad Nacional de Colombia; Colombia
Fil: Molina, Alejandro. Universidad Nacional de Colombia; Colombia
Fil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados Unidos
Fil: Pérez, Maximiliano S.. Universidad Tecnológica Nacional; Argentina. Florida International University; Estados Unidos
Fil: Franco, Camilo A.. Universidad Nacional de Colombia; Colombia
Fil: Cortés, Farid B.. Universidad Nacional de Colombia; Colombia
description A selection flowchart that assists, through Computational Fluid Dynamics (CFD) simulations, the design of microfluidic experiments used to distinguish the performance in Chemical Enhanced Oil Recovery (CEOR) of two surfactants with very similar values of interfacial tension (IFT) was proposed and its use demonstrated. The selection flowchart first proposes an experimental design for certain modified variables (⃗: porosity, grain shape, the presence of preferential flowing channels, and injection velocity). Experiments are then performed through CFD simulations to obtain a set of response variables ( ⃗: recovery factor, breakthrough time, the fractal dimension of flow pattern, pressure drop, and entrapment effect). A sensitivity analysis of ⃗ regarding the differences in the interfacial tension (IFT) can indicate the CFD experiments that could have more success when distinguishing between two surfactants with similar IFTs (0.037 mN/m and 0.045 mN/m). In the range of modifiable variables evaluated in this study (porosity values of 0.5 and 0.7, circular and irregular grain shape, with and without preferential flowing channel, injection velocities of 10 ft/day and 30 ft/day), the entrapment effect is the response variable that is most affected by changes in IFT. The response of the recovery factor and the breakthrough time was also significant, while the fractal dimension of the flow and the pressure drop had the lowest sensitivity to different IFTs. The experimental conditions that rendered the highest sensitivity to changes in IFT were a low porosity (0.5) and a high injection flow (30 ft/day). The response to the presence of preferential channels and the pore shape was negligible. The approach developed in this research facilitates, through CFD simulations, the study of CEOR processes with microfluidic devices. It reduces the number of experiments and increases the probability of their success.
publishDate 2021
dc.date.none.fl_str_mv 2021-11
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/11336/157582
Céspedes, Santiago; Molina, Alejandro; Lerner, Betiana; Pérez, Maximiliano S.; Franco, Camilo A.; et al.; A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery; Multidisciplinary Digital Publishing Institute; Processes; 9; 11; 11-2021; 1-23
2227-9717
CONICET Digital
CONICET
url http://hdl.handle.net/11336/157582
identifier_str_mv Céspedes, Santiago; Molina, Alejandro; Lerner, Betiana; Pérez, Maximiliano S.; Franco, Camilo A.; et al.; A Selection Flowchart for Micromodel Experiments Based on Computational Fluid Dynamic Simulations of Surfactant Flooding in Enhanced Oil Recovery; Multidisciplinary Digital Publishing Institute; Processes; 9; 11; 11-2021; 1-23
2227-9717
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi//10.3390/pr9111887
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-9717/9/11/1887
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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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score 13.13397

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