Application of the Modified Friction Theory in Predicting the Viscosity of Iranian Oil Samples at HPHT Conditions
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1Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran.
2Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran. Department of Chemical and Biomolecular Engineering, Rice University, Houston 77005, TX, USA.
3EOR Department, Research Institute of Petroleum Industry (RIPI), Tehran, Iran.
Hydrocarbon viscosity data are indispensable in the simulation of multiphase flow during the production of oil and gas as well as in the characterization and simulation of hydrocarbon reservoirs. In this work, the new concept of friction theory was used to predict the viscosity data for two different oil samples taken from two Iranian oil reservoirs at high pressures and high temperatures. In the new version of the friction theory-based model, a modified form of the critical viscosity was introduced to better predict the viscosity of the samples studied in this work. The results obtained from the new viscosity model was compared with those given by the conventional and well-known CSP and LBC models. The results showed that the modified friction theory could predict the viscosity of both samples more accurately compared to those obtained from the CSP and LBC models. Also, an optimal asymmetry coefficient was used to get the least absolute average of deviations from the experimental data. It should be stated that in the modified friction theory model the Peng –Robinson (PR) and the Soave –Redlich –Kwang (SRK) equations of state were used to include the repulsive as well as the attractive pressure terms in the viscosity of hydrocarbons.