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saeedi-dehaghani--a--h
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Modeling of asphaltene precipitation in calculation of minimum miscibility pressure
, Article Industrial and Engineering Chemistry Research ; Volume 56, Issue 25 , 2017 , Pages 7375-7383 ; 08885885 (ISSN) ; Saeedi Dehaghani, A. H ; Sharif University of Technology
American Chemical Society
2017
Abstract
An algorithm has been developed to investigate the effect of asphaltene precipitation on calculation of minimum miscibility pressure (MMP), which is one of the key design parameters of any gas injection projects. In fact, this algorithm is the extension of procedure suggested by Jaubert et al. for prediction of MMP whatever the displacement mechanism. The vapor-liquid equilibrium calculation and then liquid-liquid equilibrium calculation are required to be taken account to estimate the amount of asphaltene precipitation. The association equation of state (AEOS) has been applied to determine the phase behavior of asphaltene. The algorithm has been used for the MMP prediction of Weyburn...
Developing a novel colloidal model for predicting asphaltene precipitation from crude oil by alkane dilution
, Article Journal of Molecular Liquids ; Volume 318 , 2020 ; Badizad, M. H ; Dehghanizadeh, M ; Saeedi Dehaghani, A. H ; Sharif University of Technology
Elsevier B.V
2020
Abstract
This research aims to propose a thermodynamic model for predicting asphaltene precipitation upon diluting a crude oil with a paraffinic solvent. To this end, a thorough mathematical formulation was carried out to derive a novel micellization model based on the associative properties of asphaltenic compounds. It was assumed that asphaltenes exist in the oil both as monomeric molecules and aggregated cores; with stabilization latter by attachment of resin on its periphery. The aggregation equilibrium was established by taking into account asphaltene's lyophobic tendency, heat of resin adsorption, and interfacial tension between micelle and oil media which is the main driving factor...