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    Prediction of asphaltene precipitation during solvent/CO2 injection conditions: A comparative study on thermodynamic micellization model with a different characterization approach and solid model

    , Article Journal of Canadian Petroleum Technology ; Vol. 50, issue. 3 , March , 2011 , p. 65-74 Tavakkoli, M ; Masihi, M ; Ghazanfari, M. H ; Kharrat, R ; Sharif University of Technology
    Abstract
    There are different thermodynamic models that have been applied for modelling of asphaltene precipitation caused by various reasons, such as solvent/CO2 injection and pressure depletion. In this work, two computer codes based on two different asphaltene precipitation thermodynamic models-the first being the thermodynamic micellization model with a different characterization approach and the second being the solid model-have been developed and used for predicting asphaltene precipitation data reported in the literature as well as in the obtained data for Sarvak reservoir crude, which is one of the most potentially problematic Iranian heavy oil reserves under gas injection conditions. For the... 

    Application of a new gibbs energy equation to model a distillation tower for production of pure ethanol

    , Article Chemical Engineering and Technology ; Volume 34, Issue 10 , 2011 , Pages 1715-1722 ; 09307516 (ISSN) Hashemi, N ; Pazuki, G ; Vossoughi, M ; Hemmati, S ; Saboohi, Y ; Sharif University of Technology
    Abstract
    A steady-state equilibrium-stage model based on MESH equations was proposed to simulate saline extractive distillation columns. The interaction parameters between each component of water-CaCl 2 and ethanol-water were obtained from mean ionic activity coefficients and vapor-liquid equilibrium (VLE) experimental data. Additionally, the interaction coefficients for the ethanol-CaCl 2 pair were fitted to experimental VLE data which were reported by Nishi for the ethanol-water-CaCl 2 system. It should be noted that adjustable parameters between each pair were considered to be temperature dependent. The results confirmed that the proposed model could accurately predict the experimental... 

    Prediction of asphaltene precipitation during solvent/CO2 injection conditions: A comparative study on thermodynamic micellization model with a different characterization approach and solid model

    , Article Journal of Canadian Petroleum Technology ; Volume 50, Issue 3 , 2011 , Pages 65-74 ; 00219487 (ISSN) Tavakkoli, M ; Masihi, M ; Ghazanfari, M. H ; Kharrat, R ; Sharif University of Technology
    Abstract
    There are different thermodynamic models that have been applied for modelling of asphaltene precipitation caused by various reasons, such as solvent/CO2 injection and pressure depletion. In this work, two computer codes based on two different asphaltene precipitation thermodynamic models-the first being the thermodynamic micellization model with a different characterization approach and the second being the solid model-have been developed and used for predicting asphaltene precipitation data reported in the literature as well as in the obtained data for Sarvak reservoir crude, which is one of the most potentially problematic Iranian heavy oil reserves under gas injection conditions. For the... 

    Rheological modeling of suspensions of fibrous nanoparticles in polymeric viscoelastic media

    , Article Journal of Non-Newtonian Fluid Mechanics ; Volume 223 , 2015 , Pages 240-248 ; 03770257 (ISSN) Sodeifian, G ; Ramazani, S. A. A ; Ranjbari, R ; Sharif University of Technology
    Abstract
    A new rheological model is developed to predict viscous and elastic behavior of concentrated suspensions of short fiber and one dimensional nanoparticles in steady and transient shear flows, simultaneously. The previously presented models cannot predict such rheological behavior with a set of parameters. The reduced strain closure (RSC) model in spite of its ability to successfully reproduce the slow kinetics of orientation growth observed in concentrated short-fiber suspensions is not able to predict both the shear viscosity and the normal stress difference data together, which could be possibly due to the fact that an orientation model with a scalar interaction coefficient cannot predict... 

    An improvement of thermodynamic micellization model for prediction of asphaltene precipitation during gas injection in heavy crude

    , Article Fluid Phase Equilibria ; Volume 308, Issue 1-2 , September , 2011 , Pages 153-163 ; 03783812 (ISSN) Tavakkoli, M ; Masihi, M ; Ghazanfari, M. H ; Kharrat, R ; Sharif University of Technology
    Abstract
    Thermodynamic micellization model is known as an appropriate approach for prediction of asphaltene precipitation. However, the reliability (i.e. accuracy) of this model for whole range of pressure or injected gas mole percent must be checked. In practice, the accuracy can be improved by using a suitable characterization method. In this research, a computer code for implementing the thermodynamic micellization model has been developed. Having used this program, we make the prediction of asphaltene precipitation by using data reported in the literature as well as the experimental data obtained from high pressure, high temperature asphaltene precipitation experiments under gas injection... 

    Estimation of PC-SAFT binary interaction coefficient by artificial neural network for multicomponent phase equilibrium calculations

    , Article Fluid Phase Equilibria ; Volume 510 , 2020 Abbasi, F ; Abbasi, Z ; Bozorgmehry Boozarjomehry, R ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    Perturbed-Chain Statistical Associating Fluid Theory Equation of State (PC-SAFT EoS) requires cross interaction parameter for each binary pair in the mixture. For real mixtures, these parameters should be corrected by binary interaction coefficients (kij's). The values of kij's are tuned by an optimization method in order to minimize the deviation from equilibrium data. The Particle Swarm Optimization (PSO) algorithm is employed for optimization of kij's due to the continuous nature of kij and highly nonlinear nature of PC-SAFT EoS. Although kij can be adjusted using the mentioned algorithm, it is cumbersome and highly time-consuming because the optimization should be performed for each pair...