Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells
- Autores
- Pandolfi, Daniel Raúl; Villagra, Andrea; Rasjido, José; Valdéz, Jorge; Leguizamón, Mario Guillermo
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Oil exploitation and transportation are very important activities for the economic development of the industrial modern society. However, these activities are generating risks that are translated in accidental or chronic contaminations that directly affect the ecosystem. It is important that oil companies carry out a correct maintenance of their oil fields. In cases of scheduling maintenance of 200 or more oil wells, our so-called PAE, is a tool able to provide a maintenance visit schedule at the right moment. PAE uses an evolutionary algorithm to produce multiple solutions to this problem. In this work, we study the application of different types of penalty functions to a constrained scheduling in oil wells. Details of implementation, results, and benefits are presented.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Ecología
oil wells
evolutionary tool - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/152811
Ver los metadatos del registro completo
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Constraints-Handling in an Evolutionary Tool for Scheduling in Oil WellsPandolfi, Daniel RaúlVillagra, AndreaRasjido, JoséValdéz, JorgeLeguizamón, Mario GuillermoCiencias InformáticasEcologíaoil wellsevolutionary toolOil exploitation and transportation are very important activities for the economic development of the industrial modern society. However, these activities are generating risks that are translated in accidental or chronic contaminations that directly affect the ecosystem. It is important that oil companies carry out a correct maintenance of their oil fields. In cases of scheduling maintenance of 200 or more oil wells, our so-called PAE, is a tool able to provide a maintenance visit schedule at the right moment. PAE uses an evolutionary algorithm to produce multiple solutions to this problem. In this work, we study the application of different types of penalty functions to a constrained scheduling in oil wells. Details of implementation, results, and benefits are presented.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf199-210http://sedici.unlp.edu.ar/handle/10915/152811enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-18.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:39:21Zoai:sedici.unlp.edu.ar:10915/152811Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:39:21.795SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
title |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
spellingShingle |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells Pandolfi, Daniel Raúl Ciencias Informáticas Ecología oil wells evolutionary tool |
title_short |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
title_full |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
title_fullStr |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
title_full_unstemmed |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
title_sort |
Constraints-Handling in an Evolutionary Tool for Scheduling in Oil Wells |
dc.creator.none.fl_str_mv |
Pandolfi, Daniel Raúl Villagra, Andrea Rasjido, José Valdéz, Jorge Leguizamón, Mario Guillermo |
author |
Pandolfi, Daniel Raúl |
author_facet |
Pandolfi, Daniel Raúl Villagra, Andrea Rasjido, José Valdéz, Jorge Leguizamón, Mario Guillermo |
author_role |
author |
author2 |
Villagra, Andrea Rasjido, José Valdéz, Jorge Leguizamón, Mario Guillermo |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Ecología oil wells evolutionary tool |
topic |
Ciencias Informáticas Ecología oil wells evolutionary tool |
dc.description.none.fl_txt_mv |
Oil exploitation and transportation are very important activities for the economic development of the industrial modern society. However, these activities are generating risks that are translated in accidental or chronic contaminations that directly affect the ecosystem. It is important that oil companies carry out a correct maintenance of their oil fields. In cases of scheduling maintenance of 200 or more oil wells, our so-called PAE, is a tool able to provide a maintenance visit schedule at the right moment. PAE uses an evolutionary algorithm to produce multiple solutions to this problem. In this work, we study the application of different types of penalty functions to a constrained scheduling in oil wells. Details of implementation, results, and benefits are presented. Sociedad Argentina de Informática e Investigación Operativa |
description |
Oil exploitation and transportation are very important activities for the economic development of the industrial modern society. However, these activities are generating risks that are translated in accidental or chronic contaminations that directly affect the ecosystem. It is important that oil companies carry out a correct maintenance of their oil fields. In cases of scheduling maintenance of 200 or more oil wells, our so-called PAE, is a tool able to provide a maintenance visit schedule at the right moment. PAE uses an evolutionary algorithm to produce multiple solutions to this problem. In this work, we study the application of different types of penalty functions to a constrained scheduling in oil wells. Details of implementation, results, and benefits are presented. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/152811 |
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eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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