Documents disponibles écrits par cet auteur

Stochastic programming approach for the planning of offshore oil or gas field infrastructure under decision-dependent uncertainty / Bora Tarhan in Industrial & engineering chemistry research, Vol. 48 N° 6 (Mars 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 6 (Mars 2009) . - pp. 3078–3097 Titre : Stochastic programming approach for the planning of offshore oil or gas field infrastructure under decision-dependent uncertainty Type de document : texte imprimé Auteurs : Bora Tarhan, Auteur ; Ignacio E. Grossmann, Auteur ; Vikas Goel, Auteur Année de publication : 2009 Article en page(s) : pp. 3078–3097 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Offshore  oil  Multistage  stochastic  programming  model  Decisiondependent  uncertainty Résumé : The planning of offshore oil or gas field infrastructure under uncertainty is addressed in this article. The main uncertainties considered are in the initial maximum oil or gas flowrate, the recoverable oil or gas volume, and the water breakthrough time of the reservoir, which are represented by discrete distributions. Furthermore, it is assumed that these uncertainties are not immediately realized, but are gradually revealed as a function of design and operation decisions. To account for these decision-dependent uncertainties, we propose a multistage stochastic programming model that captures the complex economic objectives and nonlinear reservoir behavior and simultaneously optimizes the investment and operating decisions over the entire planning horizon. The proposed solution algorithm relies on a duality-based branch-and-bound method involving subproblems as nonconvex mixed-integer nonlinear programs. Several examples involving nonlinear reservoir models are presented to illustrate the application of the proposed method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8013549 [article] Stochastic programming approach for the planning of offshore oil or gas field infrastructure under decision-dependent uncertainty [texte imprimé] / Bora Tarhan, Auteur ; Ignacio E. Grossmann, Auteur ; Vikas Goel, Auteur . - 2009 . - pp. 3078–3097. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 6 (Mars 2009) . - pp. 3078–3097 Mots-clés : Offshore  oil  Multistage  stochastic  programming  model  Decisiondependent  uncertainty Résumé : The planning of offshore oil or gas field infrastructure under uncertainty is addressed in this article. The main uncertainties considered are in the initial maximum oil or gas flowrate, the recoverable oil or gas volume, and the water breakthrough time of the reservoir, which are represented by discrete distributions. Furthermore, it is assumed that these uncertainties are not immediately realized, but are gradually revealed as a function of design and operation decisions. To account for these decision-dependent uncertainties, we propose a multistage stochastic programming model that captures the complex economic objectives and nonlinear reservoir behavior and simultaneously optimizes the investment and operating decisions over the entire planning horizon. The proposed solution algorithm relies on a duality-based branch-and-bound method involving subproblems as nonconvex mixed-integer nonlinear programs. Several examples involving nonlinear reservoir models are presented to illustrate the application of the proposed method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8013549