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    Performance evaluation and improvement of PC-SAFT equation of state for the asphaltene precipitation modeling during mixing with various fluid types

    , Article Fluid Phase Equilibria ; Volume 554 , 2022 ; 03783812 (ISSN) Kariman Moghaddam, A ; Jamshidi, S ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    One of the significant problems of the upstream flow assurance community is precipitation or deposition of asphaltene that leads to affect the economics of oil production seriously. Knowledge of asphaltene onset pressure (AOP) and amount of asphaltene precipitation in the change of temperature, pressure, and composition is the essential information for preventing this problem. Recent studies have shown that thermodynamic models based on the solubility nature of asphaltenes using an equation of state (EOS) are the most effective approach to asphaltene behavior modeling. In this research, the common version of the SAFT equation, known as the Perturbed Chain form of Statistical Association... 

    Development of a New Simulation Tool to Study the Asphaltene Precipitation and Deposition in Oil Well Column Based on Particle Scaling

    , M.Sc. Thesis Sharif University of Technology Naseri Boroujeni, Saman (Author) ; Jamshidi, Saied (Supervisor) ; Taghikhani, Vahid (Supervisor)
    Abstract
    Formation, precipitation and deposition of heavy organic compounds of petroleum fluids including, but not limited to, asphaltene in oil reservoirs and production systems have been by far the most important and challenging flow assurance problems. Therefore, preventative actions to control organic deposits in oil formations and production systems which can lead inevitably to reduction or cessation in production, have always been a main challenge for oil producers.In this thesis, a one dimensional simulator have been developed to study asphaltene precipitation, aggregation and deposition in an oil well column at isothermal and non-isothermal conditions. While the previously proposed PC-SAFT... 

    Modeling of Asphaltene Deposition in Flow Lines Considering Pressure and Temperature Drop

    , M.Sc. Thesis Sharif University of Technology Eyni, Leila (Author) ; Ayatollahi, Shahabeddin (Supervisor) ; Assareh, Mehdi (Supervisor)
    Abstract
    Crude oil is made up of dozens of chemicals which based on their structural similarity, SARA test separate it into four categories: saturates, aromatics, resins and asphaltene. Asphaltenes are recognized as the largest, heaviest and the most polarizable fraction of the crude oil which are in thermodynamic equilibrium with oil at reservoir conditions. Each of the physical, chemical, electrical or mechanical disruption of this balance during production can result in instability and asphaltene precipitation may occur and eventually led to deposition in the reservoir, wells, pipelines, etc. Due to the fact that most changes in temperature and pressure will generated in the wells, thus... 

    Precipitated asphaltene amount at high-pressure and high-temperature conditions

    , Article Energy and Fuels ; Vol. 28, Issue. 3 , 2014 , pp. 1596-1610 ; ISSN: 08870624 Tavakkoli, M ; Panuganti, S. R ; Taghikhani, V ; Pishvaie, M. R ; Chapman, W. G ; Sharif University of Technology
    Abstract
    In the upstream asphaltene flow assurance community, both academics and industries are actively involved to predict the asphaltene deposit profile in wellbores and pipelines. Essential information for such a study is the amount of asphaltenes that can precipitate and, hence, deposit. In this work, the perturbed chain form of the statistical associating fluid theory (PC-SAFT) is applied to predict the asphaltene precipitation onset condition as well as the amount of precipitate under pressure depletion and high-pressure and high-temperature gas injection conditions. Previous PC-SAFT asphaltene studies in crude oil required the compositional data for both flashed gas and flashed liquid. This... 

    Understanding the polydisperse behavior of asphaltenes during precipitation

    , Article Fuel ; Vol. 117, issue. PART A , 2014 , pp. 206-217 Tavakkoli, M ; Panuganti, S. R ; Taghikhani, V ; Pishvaie, M. R ; Chapman, W. G ; Sharif University of Technology
    Abstract
    Asphaltenes are a polydisperse fraction of the crude oil, the phase behavior of which is significantly affected by the changes in pressure, temperature and composition. The focus of this study is to model the polydisperse asphaltenes' precipitation onset condition and the amount of precipitate from solvent-diluted crude oils using the Perturbed Chain form of the Statistical Associating Fluid Theory (PC-SAFT) over a wide range of crude oil density. Heavy oil and bitumen production can involve diluting with paraffinic solvents. Different fractions of the polydisperse asphaltenes thus precipitated are predicted and when compared to the experimental data show a remarkable matching for different... 

    SAFT model for upstream asphaltene applications

    , Article Fluid Phase Equilibria ; Volume 359 , December , 2013 , Pages 2-16 ; 03783812 (ISSN) Panuganti, S. R ; Tavakkoli, M ; Vargas, F. M ; Gonzalez, D. L ; Chapman, W. G ; Sharif University of Technology
    2013
    Abstract
    The increasing incidence of flow assurance problems caused by asphaltene deposition during oil production has motivated the development of numerous theoretical models and experimental methods to analyze this complex phenomenon. Even more challenging are the prediction of the occurrence and the magnitude of asphaltene deposition. It is well accepted that precipitation of asphaltene is a necessary condition for deposition. Hence, a significant amount of work has been devoted to the understanding of the conditions at which asphaltene precipitate from the crude oil. Although, several models seem to work well for correlating available data of onsets of asphaltene precipitation, they usually lack... 

    A modified thermodynamic modeling of wax precipitation in crude oil based on PC-SAFT model

    , Article Fluid Phase Equilibria ; Volume 429 , 2016 , Pages 313-324 ; 03783812 (ISSN) Mashhadi Meighani, H ; Ghotbi, C ; Jafari Behbahani, T ; Sharif University of Technology
    Elsevier  2016
    Abstract
    Wax precipitation may occur in production or transportation of crude oil form field which is a serious problem in petroleum industry. Flow assurance issues concerning wax precipitation make it necessary to develop a precise thermodynamic model to predict the wax appearance temperature and amount of precipitation at different conditions. In this work a new procedure has been proposed to characterize crude oil based on the SARA test considering the wax and asphaltene as single pseudo components. Two scenarios have been investigated for the survey of the crude oil characterization, with and without asphaltene pseudo component. Also, in this work, the Perturbed Chain form of the Statistical... 

    New two-dimensional particle-scale model to simulate asphaltene deposition in wellbores and pipelines

    , Article Energy and Fuels ; Volume 32, Issue 3 , 2018 , Pages 2661-2672 ; 08870624 (ISSN) Hassanpouryouzband, A ; Joonaki, E ; Taghikhani, V ; Bozorgmehry Boozarjomehry, R ; Chapoy, A ; Tohidi, B ; Sharif University of Technology
    American Chemical Society  2018
    Abstract
    A new two-dimensional dynamic model was developed to simulate asphaltene precipitation, aggregation, and deposition at isothermal and non-isothermal conditions. The perturbed-chain statistical associating fluid theory equation of state was used to model the asphaltene precipitation. Also, novel kinetic models were used to account for the aggregation and deposition of asphaltene particles. The effect of the aggregate size on the rate of aggregation and deposition was studied, and it was concluded that the rate of asphaltene deposition increases, while the concentration of nanoaggregates increases in the well column. The tendency of smaller aggregates to deposit on the surface could be... 

    Evaluation of PC-SAFT model and support vector regression (SVR) approach in prediction of asphaltene precipitation using the titration data

    , Article Fluid Phase Equilibria ; Volume 456 , 2018 , Pages 171-183 ; 03783812 (ISSN) Mashhadi Meighani, H ; Ghotbi, C ; Jafari Behbahani, T ; Sharifi, K ; Sharif University of Technology
    Elsevier B.V  2018
    Abstract
    Asphaltene deposition in porous media, wellbore and surface facilities has been a severe problem in petroleum industry which causes considerable remediation costs annually. Asphaltenes are heavy and polydisperse fractions of crude oil which are insoluble in n-alkanes such as n-heptane. In this work, three Iranian crude oils were prepared for titration experiments with n-pentane, n-heptane and n-dodecane at different solvent ratios and constant temperature. The experimental data were correlated by perturbed chain form of statistical associating fluid theory (PC-SAFT). The association of asphaltene molecules has been considered in this model with adjusting the uncertain parameters (such as... 

    Application of a new simplified SAFT to VLE study of associating and non-associating fluids

    , Article Fluid Phase Equilibria ; Volume 233, Issue 1 , 2005 , Pages 110-121 ; 03783812 (ISSN) Asadi Malekshah, V ; Taghikhani, V ; Ramazani, A. S. A ; Ghotbi, C ; Sharif University of Technology
    2005
    Abstract
    A new equation of state based on the Statistical Associating Fluid Theory (SAFT) is presented to study the phase behavior of associating and non-associating fluids. In the new equation of state, the hard sphere contribution to compressibility factor of the simplified version of the SAFT (SSAFT) is replaced with that proposed by Ghotbi and Vera. The Ghotbi-Vera SSAFT (GV-SSAFT) was also extended to study the phase behavior of associating and non-associating mixtures. The GV-SSAFT like the SSAFT equation of state has three adjustable segment parameters for non-associating fluids and five parameters for associating fluids. The experimental data of liquid densities and vapor pressures for pure... 

    Thermodynamic modeling of hydrogen sulfide solubility in ionic liquids using modified SAFT-VR and PC-SAFT equations of state

    , Article Fluid Phase Equilibria ; Volume 309, Issue 2 , 2011 , Pages 179-189 ; 03783812 (ISSN) Rahmati Rostami, M ; Behzadi, B ; Ghotbi, C ; Sharif University of Technology
    2011
    Abstract
    Equations of state based on the statistical associating fluid theory for potentials of variable range (SAFT-VR) and the perturbed chain statistical associating fluid theory (PC-SAFT) have been used to model the PVT behavior of ionic liquids and the solubility of H2S in six imidazolium-based ionic liquids. The studied systems included [bmim][PF6], [hmim][PF6], [bmim][BF4], [hmim][BF4], [bmim][NTF2] and [hmim][NTF2] at various temperatures and pressures.For pure components, parameters of the models have been obtained by fitting the models to experimental data on liquid densities; the average relative deviation between the calculated and experimental densities for ionic liquids is less than... 

    Theoretical and Experimental Investigation of WAX Precipitation in Crude Oil Transportation Pipelines

    , Ph.D. Dissertation Sharif University of Technology Mashhadi Meighani, Hossein (Author) ; Ghotbi, Cyrus (Supervisor) ; Jafari Behbahani, Taraneh (Supervisor) ; Sharifi, Khashayar (Co-Supervisor)
    Abstract
    Wax precipitation may occur in production or transportation of crude oil form field which is a serious problem in petroleum industry. Flow assurance issues concerning wax precipitation make it necessary to develop a precise thermodynamic model to predict the wax appearance temperature and amount of precipitation at different conditions. In this work a new procedure has been proposed to characterize crude oil based on the SARA test considering the wax and asphaltene as single pseudo components. Two scenarios have been investigated for the survey of the crude oil characterization, with and without asphaltene pseudo component. Also, in this work, the Perturbed ... 

    Prediction of Minimum Miscibility Pressure of CO2 and Associate Gas with
    Iranian Offshore Crude Oils

    , M.Sc. Thesis Sharif University of Technology Hasani, Ehsan (Author) ; Ghotbi, Sirous (Supervisor) ; Taghikhani, Vahid (Co-Advisor)
    Abstract
    In this study, two approaches were applied for estimating Minimum Miscibility Pressure (MMP). An oil sample from Yadavaran Field has examined by means of Carbon Dioxide Gas, South Pars Gas, and Association Gas in experimental approach. The experimental method used for estimating MMP is Slim-Tube. This kind of method is applied in industry widely. The results indicate that the MMP of Carbon Dioxide is low which denotes that the gas is even miscible around the Bubble Point Temperature of the oil sample. Moreover, the MMP of Association Gas and South Pars Gas is 3962 and 5150 psia, respectively. In simulation approach, Cell to Cell simulation method is used to estimate the MMP of the oil sample... 

    Investigation and Modification of Minimum Miscibility Pressure Cumputational Methods

    , M.Sc. Thesis Sharif University of Technology Ghasemi Dehkordi, Masoud (Author) ; Ghotbi, Cyrus (Supervisor) ; Vakili Nezhad, Gholamreza (Supervisor) ; Jafari, Taraneh (Supervisor)
    Abstract
    In this study a novel, comprehensive and applicable hybrid radial basis function (RBF) neural network model optimized by particle swarm optimization (PSO) has been developed to predict MMP of pure and impure Co2 in miscible injection processes. 178 data sets from open literature used to validate and verify the proposed model. Also, slim tube test using Omani crude oil sample was carried out to confirm the model performance and its generalization Reservoir temperature, volatile to intermediate ratio and molecular weight of C5+ in the reservoir oil, composition of the Co2 and contaminants in the injected gas, considered as the input parameters. Performance of the proposed model was compared... 

    Simulation of Asphaltene Slurry Flow for Oil Dominant Systems in Vertical Wells

    , Ph.D. Dissertation Sharif University of Technology Tavakkoli, Mohammad (Author) ; Taghikhani, Vahid (Supervisor) ; Pishvaie, Mahmoud Reza (Supervisor) ; Masihi, Mohsen (Co-Advisor) ; Chapman, Walter (Co-Advisor) ; Panuganti, Sai (Co-Advisor)
    Abstract
    In the upstream asphaltene flow assurance community, both academics and industries are actively involved to predict the asphaltene deposit profile in wellbores and pipelines. The main objective of this study is to contribute to the thermodynamic and transport modeling of asphaltene in order to predict its precipitation, aggregation and deposition. For a better knowledge of the flow properties of asphaltene containing crude oils, it is necessary to understand how asphaltene affect the rheological properties. In this work, the information on such rheological properties of oil-asphaltene slurry systems is provided. The results of rheological experiments for two Iranian crude oils show that the... 

    Investigation of Water Salinity Effect on Asphaltene Precipitation Using PC-SAFT EOS

    , M.Sc. Thesis Sharif University of Technology Amanabadi, Javad (Author) ; Jamshidi, Saeed (Supervisor)
    Abstract
    In this study, for investigation of water salinity effect on asphaltene modeling, PC-SAFT equation of state has been used. All steps of modeling have been done by C sharp programming language software. Nghiem model has been used for modeling of asphalting pure solid. In this model, the heaviest component is split into two precipitating and nonprecipitation parts that their physical properties are the same in each part. Furthermore, to determine the exact mechanism of asphaltene precipitation, an oil model (Asphaltene+heptan+tuloene) in the presence of different water brine such as synthetic brine (with MgCl2, CaCl2, and Na2SO4 salts), seawater) ten and two times diluted), and formation water... 

    Screening of Thermodynamic Models in Predicting Phase Behavior of Asphaltenic Crudes Applicable in Dynamic Deposition Models

    , M.Sc. Thesis Sharif University of Technology Naghdi Nasab, Mohammad Ali (Author) ; Taghikhani, Vahid (Supervisor)
    Abstract
    Prediction and prevention from asphaltene deposition is an essential topic in oil production systems that can enormously increase oil production costs. Many studies have been done to understand and predict the behavior of asphaltene-containing oils. Prediction and investigation of asphaltene precipitation are required to predict the asphaltene deposition problem. Changes in temperature, pressure, and composition can cause precipitation, and these changes are inevitable during production. This dissertation compares the thermodynamic models that can simulate asphaltene precipitation. Firstly, A comprehensive review was done to extract the maximum amount of experimental data from the literature... 

    Supercritical gasification of biomass: Thermodynamics analysis with Gibbs free energy minimization

    , Article Energy Sources, Part A: Recovery, Utilization and Environmental Effects ; Volume 34, Issue 2 , Dec , 2011 , Pages 163-176 ; 15567036 (ISSN) Hemmati, Sh ; Pazuki, G. R ; Vossoughi, M ; Saboohi, Y ; Hashemi, N ; Sharif University of Technology
    2011
    Abstract
    Gasification of biomass in supercritical water is a successful technology for hydrogen production especially by using wet biomass. The whole process, from feeding to purification of hydrogen, consists of a lot of equipment, such as pumps, heat exchangers, heaters, reactors, etc. Because the main reactions take place in the gasification reactor, the gasifier is the most important equipment of the process. In this article, a thermodynamic model, including chemical equilibrium in the reactor that is based on Gibbs free energy minimization, is developed to estimate equilibrium composition for gasification of biomass in supercritical water for hydrogen production. For this analysis, we use three... 

    Determination of perturbed-chain statistical association fluid theory parameters for pure substances, single carbon number groups, and petroleum fractions using cubic equations of state parameters

    , Article Industrial and Engineering Chemistry Research ; Volume 54, Issue 45 , 2015 , Pages 11448-11465 ; 08885885 (ISSN) Hosseinifar, P ; Jamshidi, S ; Sharif University of Technology
    American Chemical Society  2015
    Abstract
    A new-generation equation of state, perturbed-chain statistical association fluid theory (PC-SAFT), has attracted much attention to modeling the phase behavior of fluids using molecular-based equations of state. A set of three pure component parameters is needed for non-associative compounds, conventionally determined by fitting vapor pressure and liquid density data simultaneously. Unfortunately, experimental data are scarce, and the number of pure substances is too large. Thus, it is indispensable for developing predictive methods to determine the pure component parameters. In the present paper, a new model has been developed to estimate PC-SAFT parameters for different pure components,... 

    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...