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Application of Friction Theory and PC-SAFT for Estimation of Viscosity in Live Reservoir Fluid Systems
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Application of Friction Theory and PC-SAFT for Estimation of Viscosity in Live Reservoir Fluid Systems
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Journal Article
Application of Friction Theory and PC-SAFT for Estimation of Viscosity in Live Reservoir Fluid Systems
2022
Overview
This work demonstrates an effective procedure to correlate and predict viscosity of petroleum fluids using friction theory (FT) viscosity model coupled with perturbed-chain statistical associating fluid theory (PC-SAFT). The FT is used for viscosity prediction in reservoir fluids. The PC-SAFT is applied for calculation of equilibrium composition and density of vapor and liquid phases. The FT has a few characteristic parameters for each component for viscosity prediction. These parameters are not available for petroleum fractions. In this study, such a problem is addressed by finding a model to predict FT characteristic parameters for different petroleum fractions as a function of molecular weight and critical pressure. 20 real reservoir fluid samples are used to develop the model. Afterward, for 5 real reservoir oil samples in the evaluation step, the viscosity modeling results are compared against experimental data, and the methods of Tan et. al., Lohrenz et al., and Pedersen et al. for showing the accuracy of proposed model. It is concluded that with suitable characteristic parameters for the FT viscosity model and PC-SAFT, improvement in liquid viscosity estimation can be achieved. The average absolute deviation percent (AAD%) is 10.22% for FT + PC-SAFT (this work), 13.71% for Lohrenz et al. and 23.48 for Pedersen et al. In addition, since the free-volume (FV) theory like FT belongs to semi-empirical viscosity models, a comparison with the FV model (published in the work of Khoshnamvand and Assareh in In J Thermophys 39:1, 2018) is performed. The results demonstrate that the FT viscosity model with presented characteristic parameters in this study gives a comparable accuracy in viscosity prediction for the studied real reservoir fluids. Compared to FV, the FT is less dependent on the EOS calculation which is an advantage of FT.
