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

Naghdi Nasab, Mohammad Ali | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55220 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Taghikhani, Vahid
  7. Abstract:
  8. 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 and then model these data with all available software: PVTsim, HydraFlash, Multiflash, and PVT Pro. Performance comparisons have been made by modeling all data and calculating errors in predictions. Performance of Solid model, Modified Flory-Huggins, and 4-parameters Scott-Magat model for predicting asphaltene precipitation due to pressure depletion is good and acceptable. The performance of the CPA model is better than PC-SAFT for predicting phase envelope and asphaltene precipitation's onset pressure. Also, CPA and PC-SAFT model differences have been investigated in theory and applications.

  9. Keywords:
  10. Asphaltene Precipitation ; Perturbed Chain From of the Statistical Associating Fluid Theory (PC-SAFT)State Equation ; Cubic Plus Association(CPA)State Equation ; Depressurization Test ; Phase Envelope ; Precipitation Onset Pressure

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