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A bilevel decomposition technique for the optimal planning of offshore platforms

Detalhes bibliográficos
Autor(a) principal: Carvalho,M.C.A.
Data de Publicação: 2006
Outros Autores: Pinto,J.M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Chemical Engineering
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322006000100008
Resumo: There is a great incentive for developing systematic approaches that effectively identify strategies for planning oilfield complexes. This paper proposes an MILP that relies on a reformulation of the model developed by Tsarbopoulou (UCL M.S. Dissertation, London, 2000). Moreover, a bilevel decomposition technique is applied to the MILP. A master problem determines the assignment of platforms to wells and a planning subproblem calculates the timing for fixed assignments. Furthermore, a heuristic search procedure that relies on the distance between platforms and wells is applied in order to reduce the search region. Results show that the decomposition approach using heuristic generates optimal solutions for instances of up to 500 wells and 25 platforms in 10 discrete time periods that otherwise could not be solved with a full-scale approach. One important feature regarding these instances is that they correspond to problems of real-world dimension.
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spelling A bilevel decomposition technique for the optimal planning of offshore platformsOilfield explorationInteger programmingDiscrete timedecomposition methodsOptimizationThere is a great incentive for developing systematic approaches that effectively identify strategies for planning oilfield complexes. This paper proposes an MILP that relies on a reformulation of the model developed by Tsarbopoulou (UCL M.S. Dissertation, London, 2000). Moreover, a bilevel decomposition technique is applied to the MILP. A master problem determines the assignment of platforms to wells and a planning subproblem calculates the timing for fixed assignments. Furthermore, a heuristic search procedure that relies on the distance between platforms and wells is applied in order to reduce the search region. Results show that the decomposition approach using heuristic generates optimal solutions for instances of up to 500 wells and 25 platforms in 10 discrete time periods that otherwise could not be solved with a full-scale approach. One important feature regarding these instances is that they correspond to problems of real-world dimension.Brazilian Society of Chemical Engineering2006-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322006000100008Brazilian Journal of Chemical Engineering v.23 n.1 2006reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322006000100008info:eu-repo/semantics/openAccessCarvalho,M.C.A.Pinto,J.M.eng2006-07-07T00:00:00Zoai:scielo:S0104-66322006000100008Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2006-07-07T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false
dc.title.none.fl_str_mv A bilevel decomposition technique for the optimal planning of offshore platforms
title A bilevel decomposition technique for the optimal planning of offshore platforms
spellingShingle A bilevel decomposition technique for the optimal planning of offshore platforms
Carvalho,M.C.A.
Oilfield exploration
Integer programming
Discrete time
decomposition methods
Optimization
title_short A bilevel decomposition technique for the optimal planning of offshore platforms
title_full A bilevel decomposition technique for the optimal planning of offshore platforms
title_fullStr A bilevel decomposition technique for the optimal planning of offshore platforms
title_full_unstemmed A bilevel decomposition technique for the optimal planning of offshore platforms
title_sort A bilevel decomposition technique for the optimal planning of offshore platforms
author Carvalho,M.C.A.
author_facet Carvalho,M.C.A.
Pinto,J.M.
author_role author
author2 Pinto,J.M.
author2_role author
dc.contributor.author.fl_str_mv Carvalho,M.C.A.
Pinto,J.M.
dc.subject.por.fl_str_mv Oilfield exploration
Integer programming
Discrete time
decomposition methods
Optimization
topic Oilfield exploration
Integer programming
Discrete time
decomposition methods
Optimization
description There is a great incentive for developing systematic approaches that effectively identify strategies for planning oilfield complexes. This paper proposes an MILP that relies on a reformulation of the model developed by Tsarbopoulou (UCL M.S. Dissertation, London, 2000). Moreover, a bilevel decomposition technique is applied to the MILP. A master problem determines the assignment of platforms to wells and a planning subproblem calculates the timing for fixed assignments. Furthermore, a heuristic search procedure that relies on the distance between platforms and wells is applied in order to reduce the search region. Results show that the decomposition approach using heuristic generates optimal solutions for instances of up to 500 wells and 25 platforms in 10 discrete time periods that otherwise could not be solved with a full-scale approach. One important feature regarding these instances is that they correspond to problems of real-world dimension.
publishDate 2006
dc.date.none.fl_str_mv 2006-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322006000100008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322006000100008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-66322006000100008
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
dc.source.none.fl_str_mv Brazilian Journal of Chemical Engineering v.23 n.1 2006
reponame:Brazilian Journal of Chemical Engineering
instname:Associação Brasileira de Engenharia Química (ABEQ)
instacron:ABEQ
instname_str Associação Brasileira de Engenharia Química (ABEQ)
instacron_str ABEQ
institution ABEQ
reponame_str Brazilian Journal of Chemical Engineering
collection Brazilian Journal of Chemical Engineering
repository.name.fl_str_mv Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)
repository.mail.fl_str_mv rgiudici@usp.br||rgiudici@usp.br
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