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    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... 

    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...