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Parallel Dantzig–Wolfe decomposition of petroleum production allocation problems / E. Torgnes in Journal of the operational research society (JORS), Vol. 63 N° 7 (Juillet 2012) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 63 N° 7 (Juillet 2012) . - pp. 950–968 Titre : Parallel Dantzig–Wolfe decomposition of petroleum production allocation problems Type de document : texte imprimé Auteurs : E. Torgnes, Auteur ; V. Gunnerud, Auteur ; E. Hagem, Auteur ; M. Rönnqvist, Auteur ; B. Foss, Auteur Année de publication : 2012 Article en page(s) : pp. 950–968 Note générale : Operational research Langues : Anglais (eng) Mots-clés : Optimization  Dantzig–Wolfe  Decomposition  Oil  and  gas  Parallel  computing Index. décimale : 001.424 Résumé : This article discusses the optimization of a petroleum production allocation problem through a parallel Dantzig–Wolfe algorithm. Petroleum production allocation problems are problems in which the determination of optimal production rates, lift gas rates and well connections are the central decisions. The motivation for modelling and solving such optimization problems stems from the value that lies in an increased production rate and the current lack of integrated software that considers petroleum production systems as a whole. Through our computational study, which is based on realistic production data from the Troll West field, we show the increase in computational efficiency that a parallel Dantzig–Wolfe algorithm offers. In addition, we show that previously implemented standard parallel algorithms lead to an inefficient use of parallel resources. A more advanced parallel algorithm is therefore developed to improve efficiency, making it possible to scale the algorithm by adding more CPUs and thus approach a reasonable solution time for realistic-sized problems. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n7/abs/jors201162a.html [article] Parallel Dantzig–Wolfe decomposition of petroleum production allocation problems [texte imprimé] / E. Torgnes, Auteur ; V. Gunnerud, Auteur ; E. Hagem, Auteur ; M. Rönnqvist, Auteur ; B. Foss, Auteur . - 2012 . - pp. 950–968. Operational research Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 7 (Juillet 2012) . - pp. 950–968 Mots-clés : Optimization  Dantzig–Wolfe  Decomposition  Oil  and  gas  Parallel  computing Index. décimale : 001.424 Résumé : This article discusses the optimization of a petroleum production allocation problem through a parallel Dantzig–Wolfe algorithm. Petroleum production allocation problems are problems in which the determination of optimal production rates, lift gas rates and well connections are the central decisions. The motivation for modelling and solving such optimization problems stems from the value that lies in an increased production rate and the current lack of integrated software that considers petroleum production systems as a whole. Through our computational study, which is based on realistic production data from the Troll West field, we show the increase in computational efficiency that a parallel Dantzig–Wolfe algorithm offers. In addition, we show that previously implemented standard parallel algorithms lead to an inefficient use of parallel resources. A more advanced parallel algorithm is therefore developed to improve efficiency, making it possible to scale the algorithm by adding more CPUs and thus approach a reasonable solution time for realistic-sized problems. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n7/abs/jors201162a.html