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    Development of a new workflow for pseudo-component generation of reservoir fluid detailed analysis: A gas condensate case study

    , Article International Journal of Oil, Gas and Coal Technology ; Vol. 7, Issue. 3 , 2014 , pp. 275-297 ; ISSN: 1753-3317 Assareh, M ; Pishvaie, M. R ; Ghotbi, C ; Mittermeir, G. M ; Sharif University of Technology
    Abstract
    In this work, a new automatic workflow for accurate optimal pseudo-component generation from gas condensate mixtures with a large number of components is presented. This workflow has a good insight into thermo-physical and critical properties and introduces only a small amount of loss of information and EOS flexibility. In this regard, the fuzzy clustering is used to classify the components in the mixture based on the similarities in the critical properties. The mixing rules are then applied to find group properties. Two different approaches for components association in clustering process are investigated with several numbers of groups. The mathematical validity of the groups is controlled... 

    Reduced superstructure solution of MINLP problem in refinery hydrogen management

    , Article International Journal of Hydrogen Energy ; Volume 34, Issue 22 , 2009 , Pages 9233-9238 ; 03603199 (ISSN) Khajehpour, M ; Farhadi, F ; Pishvaie, M. R ; Sharif University of Technology
    2009
    Abstract
    Minimizing Hydrogen waste into fuel gas within the H2 network in a refinery is the objective function of an optimization problem in this paper. The superstructure obtained for a refinery wide concept, is first solved and validated for literature cases, then is reduced by heuristic rules, based on engineering judgment. The reduced superstructure contains all simulation procedures of pseudo-components definitions, fine tunings of all unit operations to reach actual operating conditions, reactions characterization, linear and nonlinear equalities and inequalities as system constraints. The set of governing equations are solved with Genetic Algorithm. Based on this optimization, in an Iranian... 

    A new multi-sample EOS model for the gas condensate phase behavior analysis

    , Article Oil and Gas Science and Technology ; Volume 66, Issue 6 , September , 2011 , Pages 1025-1033 ; 12944475 (ISSN) Mehrabian, A ; Crespo, F ; Sharif University of Technology
    2011
    Abstract
    Equations of State EOS are vastly being used to predict the phase behavior of reservoir fluids. The accuracy of EOS modeling technique over conventional correlation models would benefit an improved property prediction of these fluids. Once the crude oil or gas condensate fluid system has been probably characterized using limited laboratory tests, its PVT behavior under a variety of conditions can be easily studied. In this paper, the PVT behavior of gas condensate from a reservoir in South Pars retrograde gas field in Iran was modeled using the three-parameter Patel and Teja Equation of State. The multi-sample characterization method is used to arrive at one consistent model for retrograde...