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An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure / Vijay Gupta in Industrial & engineering chemistry research, Vol. 51 N° 19 (Mai 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6823-6840 Titre : An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure Type de document : texte imprimé Auteurs : Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur Année de publication : 2012 Article en page(s) : pp. 6823-6840 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Planning  Modeling  Mixed  integer  programming  Non  linear  programming Résumé : In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities. The proposed multiperiod nonconvex MINLP (mixed integer nonlinear programming) model for multifield site includes three components (oil, water, and gas) explicitly in the formulation using higher order polynomials, avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage, and offloading) installation and expansion, field―FPSO connections, well drilling, and production rates in each time period. The model can be solved effectively with DICOPT for realistic instances and gives good quality solutions. Furthermore, it can be reformulated into an MILP after piecewise linearization and exact linearization techniques that can be solved globally in an efficient way. Solutions of realistic instances involving 10 fields, 3 FPSOs, 84 wells, and 20 years planning horizon are reported, as well as comparisons between the computational performance of the proposed MINLP and MILP formulations. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900236 [article] An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure [texte imprimé] / Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur . - 2012 . - pp. 6823-6840. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6823-6840 Mots-clés : Mathematical  programming  Planning  Modeling  Mixed  integer  programming  Non  linear  programming Résumé : In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities. The proposed multiperiod nonconvex MINLP (mixed integer nonlinear programming) model for multifield site includes three components (oil, water, and gas) explicitly in the formulation using higher order polynomials, avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage, and offloading) installation and expansion, field―FPSO connections, well drilling, and production rates in each time period. The model can be solved effectively with DICOPT for realistic instances and gives good quality solutions. Furthermore, it can be reformulated into an MILP after piecewise linearization and exact linearization techniques that can be solved globally in an efficient way. Solutions of realistic instances involving 10 fields, 3 FPSOs, 84 wells, and 20 years planning horizon are reported, as well as comparisons between the computational performance of the proposed MINLP and MILP formulations. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900236

Modeling and computational strategies for optimal development planning of offshore oilfields under complex fiscal rules / Vijay Gupta in Industrial & engineering chemistry research, Vol. 51 N° 44 (Novembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 44 (Novembre 2012) . - pp. 14438-14460 Titre : Modeling and computational strategies for optimal development planning of offshore oilfields under complex fiscal rules Type de document : texte imprimé Auteurs : Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur Année de publication : 2013 Article en page(s) : pp. 14438-14460 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Planning  Modeling Résumé : The main goal of this paper is to extend a simple NPV (net present value) based optimal oilfield development planning model to include complex fiscal rules. In particular, we consider a recently proposed multifield site strategic planning model for offshore oil and gas fields as a basis to include the generic fiscal rules with ringfencing provisions. The reduction of this model to a variety of contracts is explained. The results on the realistic instances show improved investment and operations decisions due to the explicit consideration of the fiscal terms during planning. However, as the model can become computationally very expensive to solve with the extension to sliding scale fiscal rules, we also provide some reformulation/ approximation techniques and solution strategies that yield orders of magnitude reduction in the solution time. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620359 [article] Modeling and computational strategies for optimal development planning of offshore oilfields under complex fiscal rules [texte imprimé] / Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur . - 2013 . - pp. 14438-14460. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 44 (Novembre 2012) . - pp. 14438-14460 Mots-clés : Planning  Modeling Résumé : The main goal of this paper is to extend a simple NPV (net present value) based optimal oilfield development planning model to include complex fiscal rules. In particular, we consider a recently proposed multifield site strategic planning model for offshore oil and gas fields as a basis to include the generic fiscal rules with ringfencing provisions. The reduction of this model to a variety of contracts is explained. The results on the realistic instances show improved investment and operations decisions due to the explicit consideration of the fiscal terms during planning. However, as the model can become computationally very expensive to solve with the extension to sliding scale fiscal rules, we also provide some reformulation/ approximation techniques and solution strategies that yield orders of magnitude reduction in the solution time. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620359