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Application of the PC-SAFT, an Equation of State Based on Perturbation Theory, to Predict the Phase Behaviour of the Iranian Offshore Oil Company Reservoir Fluids

Hosseinifar, Pouya | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43797 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Ghotbi, Cyrus; Taghikhani, Vahid
  7. Abstract:
  8. In this work, PC-SAFT, an equation of state based on perturbation theory, is applied to predict the phase behavior of the reservoir fluids. PC-SAFT parameters for pure components are available but they cannot be calculated for petroleum fractions with unspecified components and composition. To solve this problem, and make use of the PC-SAFT model in the reservoir fluids simulations, two approaches are studied. In the first approach new correlations are developed which are able to predict the PC-SAFT parameters for plus fractions based on their molecular weight and mass density. The second approach is to use the artificial neural networks (ANNs) for estimation of PC-SAFT parameters for the petroleum fractions. The proposed techniques are then validated with the reliable experimental PVT data for petroleum fluid phase behavior. This includes calculation of the saturation pressure and differential liberation test (oil formation volume factor, soluble gas oil ratio and liquid phase density) for the 20 oil samples, with PC-SAFT model (for zero interaction coefficients) and the results are compared to the available experimental data. In addition, the predictions of the PC-SAFT model are compared to the calculated results from the modified Peng-Robinson and SRK equation of states. The comparison shows good estimation capability for this statistical model demonstrating PC-SAFT as an effective tool for petroleum reservoir fluid phase behavior calculation in a wider range of scales and applications
  9. Keywords:
  10. State Equation ; Oil Fractions ; Neural Networks ; Statistical Assosiating Fluids Theory (SAFT) ; Refractive Index ; Reservoir Fluid

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