Efficient approach for scheduling crude oil operations in marineaccess refineries

Autores
Cerda, Jaime; Pautasso, Pedro Carlos; Cafaro, Diego Carlos
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Due to the impact of crude oil prices on refinery revenues, the petroleum industry has switched to processing lowcost crude oils. They are blended with high-quality crude oils to feed the crude distillation units (CDUs) with reliable feedstock. The blending process takes place in storage tanks receiving crude parcels from ultralarge carriers and by mixing feed streams supplied to CDUs from multiple tanks. The crude blending and scheduling problem is usually represented by a large nonconvex mixed-integer nonlinear programming (MINLP) model. This work introduces an effective MINLP continuous-time formulation based on global-precedence sequencing variables to arrange loading and unloading operations in every tank. In addition, synchronized time slots of adjustable length permit to model the sequence of feedstock for each CDU. The basic solution approach consists of sequentially solving a very tight mixed-integer linear programming (MILP) model and a nonlinear programming (NLP) formulation that uses the MILP-solution as the starting point. For large problems, it has been developed a novel solution strategy that incorporates a time-partitioning scheme using the notion of vessel-blocks. The proposed approach has been applied to a series of large examples studied by other authors finding near-optimal schedules at much lower CPU times.
Fil: Cerda, Jaime. 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: Pautasso, Pedro 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
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
Marine-Access Refineries
Crude Oil
Blending
Scheduling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/16404
Acceder
id CONICETDig_68481cf42455c2f1c824dc5feba4d588
oai_identifier_str oai:ri.conicet.gov.ar:11336/16404
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Efficient approach for scheduling crude oil operations in marineaccess refineriesCerda, JaimePautasso, Pedro CarlosCafaro, Diego CarlosMarine-Access RefineriesCrude OilBlendingSchedulinghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Due to the impact of crude oil prices on refinery revenues, the petroleum industry has switched to processing lowcost crude oils. They are blended with high-quality crude oils to feed the crude distillation units (CDUs) with reliable feedstock. The blending process takes place in storage tanks receiving crude parcels from ultralarge carriers and by mixing feed streams supplied to CDUs from multiple tanks. The crude blending and scheduling problem is usually represented by a large nonconvex mixed-integer nonlinear programming (MINLP) model. This work introduces an effective MINLP continuous-time formulation based on global-precedence sequencing variables to arrange loading and unloading operations in every tank. In addition, synchronized time slots of adjustable length permit to model the sequence of feedstock for each CDU. The basic solution approach consists of sequentially solving a very tight mixed-integer linear programming (MILP) model and a nonlinear programming (NLP) formulation that uses the MILP-solution as the starting point. For large problems, it has been developed a novel solution strategy that incorporates a time-partitioning scheme using the notion of vessel-blocks. The proposed approach has been applied to a series of large examples studied by other authors finding near-optimal schedules at much lower CPU times.Fil: Cerda, Jaime. 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: Pautasso, Pedro 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; 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 Society2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/16404Cerda, Jaime; Pautasso, Pedro Carlos; Cafaro, Diego Carlos; Efficient approach for scheduling crude oil operations in marineaccess refineries; American Chemical Society; Industrial & Engineering Chemical Research; 54; 33; 8-2015; 8219-82380888-5885enginfo:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.5b01461info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/10.1021/acs.iecr.5b01461info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:24Zoai:ri.conicet.gov.ar:11336/16404instacron: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 09:43:24.685CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Efficient approach for scheduling crude oil operations in marineaccess refineries
title Efficient approach for scheduling crude oil operations in marineaccess refineries
spellingShingle Efficient approach for scheduling crude oil operations in marineaccess refineries
Cerda, Jaime
Marine-Access Refineries
Crude Oil
Blending
Scheduling
title_short Efficient approach for scheduling crude oil operations in marineaccess refineries
title_full Efficient approach for scheduling crude oil operations in marineaccess refineries
title_fullStr Efficient approach for scheduling crude oil operations in marineaccess refineries
title_full_unstemmed Efficient approach for scheduling crude oil operations in marineaccess refineries
title_sort Efficient approach for scheduling crude oil operations in marineaccess refineries
dc.creator.none.fl_str_mv Cerda, Jaime
Pautasso, Pedro Carlos
Cafaro, Diego Carlos
author Cerda, Jaime
author_facet Cerda, Jaime
Pautasso, Pedro Carlos
Cafaro, Diego Carlos
author_role author
author2 Pautasso, Pedro Carlos
Cafaro, Diego Carlos
author2_role author
author
dc.subject.none.fl_str_mv Marine-Access Refineries
Crude Oil
Blending
Scheduling
topic Marine-Access Refineries
Crude Oil
Blending
Scheduling
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Due to the impact of crude oil prices on refinery revenues, the petroleum industry has switched to processing lowcost crude oils. They are blended with high-quality crude oils to feed the crude distillation units (CDUs) with reliable feedstock. The blending process takes place in storage tanks receiving crude parcels from ultralarge carriers and by mixing feed streams supplied to CDUs from multiple tanks. The crude blending and scheduling problem is usually represented by a large nonconvex mixed-integer nonlinear programming (MINLP) model. This work introduces an effective MINLP continuous-time formulation based on global-precedence sequencing variables to arrange loading and unloading operations in every tank. In addition, synchronized time slots of adjustable length permit to model the sequence of feedstock for each CDU. The basic solution approach consists of sequentially solving a very tight mixed-integer linear programming (MILP) model and a nonlinear programming (NLP) formulation that uses the MILP-solution as the starting point. For large problems, it has been developed a novel solution strategy that incorporates a time-partitioning scheme using the notion of vessel-blocks. The proposed approach has been applied to a series of large examples studied by other authors finding near-optimal schedules at much lower CPU times.
Fil: Cerda, Jaime. 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: Pautasso, Pedro 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
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 Due to the impact of crude oil prices on refinery revenues, the petroleum industry has switched to processing lowcost crude oils. They are blended with high-quality crude oils to feed the crude distillation units (CDUs) with reliable feedstock. The blending process takes place in storage tanks receiving crude parcels from ultralarge carriers and by mixing feed streams supplied to CDUs from multiple tanks. The crude blending and scheduling problem is usually represented by a large nonconvex mixed-integer nonlinear programming (MINLP) model. This work introduces an effective MINLP continuous-time formulation based on global-precedence sequencing variables to arrange loading and unloading operations in every tank. In addition, synchronized time slots of adjustable length permit to model the sequence of feedstock for each CDU. The basic solution approach consists of sequentially solving a very tight mixed-integer linear programming (MILP) model and a nonlinear programming (NLP) formulation that uses the MILP-solution as the starting point. For large problems, it has been developed a novel solution strategy that incorporates a time-partitioning scheme using the notion of vessel-blocks. The proposed approach has been applied to a series of large examples studied by other authors finding near-optimal schedules at much lower CPU times.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
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/11336/16404
Cerda, Jaime; Pautasso, Pedro Carlos; Cafaro, Diego Carlos; Efficient approach for scheduling crude oil operations in marineaccess refineries; American Chemical Society; Industrial & Engineering Chemical Research; 54; 33; 8-2015; 8219-8238
0888-5885
url http://hdl.handle.net/11336/16404
identifier_str_mv Cerda, Jaime; Pautasso, Pedro Carlos; Cafaro, Diego Carlos; Efficient approach for scheduling crude oil operations in marineaccess refineries; American Chemical Society; Industrial & Engineering Chemical Research; 54; 33; 8-2015; 8219-8238
0888-5885
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.5b01461
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/10.1021/acs.iecr.5b01461
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
_version_ 1842268600433377280
score 13.13397

Publicaciones similares