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Détail de l'auteur
Auteur Gloria Gutierrez
Documents disponibles écrits par cet auteur
Affiner la rechercheIntegrated energy optimization model for oil sands operations / Alberto Betancourt-Torcat in Industrial & engineering chemistry research, Vol. 50 N° 22 (Novembre 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 22 (Novembre 2011) . - pp. 12641-12663
Titre : Integrated energy optimization model for oil sands operations Type de document : texte imprimé Auteurs : Alberto Betancourt-Torcat, Auteur ; Gloria Gutierrez, Auteur ; Ali Elkamel, Auteur Année de publication : 2012 Article en page(s) : pp. 12641-12663 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Tar sand Modeling Optimization Résumé : This article presents a new energy model that predicts the energy infrastructure required to maintain oil production in the Canadian Oil Sands operation at minimum cost. Previous studies in this area have focused on the energy infrastructure for fixed energy demands (i.e., the production schemes that produce synthetic crude oil (SCO) and commercial diluted bitumen remained fixed in the calculation of the optimal infrastructure). The key novelty of this work is that the model searches simultaneously for the most suitable set of oil production schemes and the corresponding energy infrastructures that satisfy the total production demands under environmental constraints, namely, CO2 emissions targets. The proposed modeling tool was validated using historical data and previous simulations of the Canadian Oil Sands operation in 2003. Likewise, the proposed model was used to study the 2020 Canadian Oil Sands operations under three different production scenarios. Also, the 2020 case study was used to show the effect of CO2 capture constraints on the oil production schemes and the energy producers. The results show that the proposed model is a practical tool for determining the production costs of the Canadian Oil Sands operations, evaluating future production schemes and energy demand scenarios, and identifying the key parameters that affect Canadian Oil Sands operations. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24745740 [article] Integrated energy optimization model for oil sands operations [texte imprimé] / Alberto Betancourt-Torcat, Auteur ; Gloria Gutierrez, Auteur ; Ali Elkamel, Auteur . - 2012 . - pp. 12641-12663.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 22 (Novembre 2011) . - pp. 12641-12663
Mots-clés : Tar sand Modeling Optimization Résumé : This article presents a new energy model that predicts the energy infrastructure required to maintain oil production in the Canadian Oil Sands operation at minimum cost. Previous studies in this area have focused on the energy infrastructure for fixed energy demands (i.e., the production schemes that produce synthetic crude oil (SCO) and commercial diluted bitumen remained fixed in the calculation of the optimal infrastructure). The key novelty of this work is that the model searches simultaneously for the most suitable set of oil production schemes and the corresponding energy infrastructures that satisfy the total production demands under environmental constraints, namely, CO2 emissions targets. The proposed modeling tool was validated using historical data and previous simulations of the Canadian Oil Sands operation in 2003. Likewise, the proposed model was used to study the 2020 Canadian Oil Sands operations under three different production scenarios. Also, the 2020 case study was used to show the effect of CO2 capture constraints on the oil production schemes and the energy producers. The results show that the proposed model is a practical tool for determining the production costs of the Canadian Oil Sands operations, evaluating future production schemes and energy demand scenarios, and identifying the key parameters that affect Canadian Oil Sands operations. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24745740