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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/152811
Acceder
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network_name_str SEDICI (UNLP)
spelling 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:UNLP2025-10-22T17:20:17Zoai: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:13292025-10-22 17:20:17.379SEDICI (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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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/152811
url http://sedici.unlp.edu.ar/handle/10915/152811
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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