One-parameter friction theory viscosity model for the cubic-plus-chain equation of state

Khemka, Yash; Sisco, Caleb J.; Abutaqiya, Mohammed I. L.; Chapman, Walter G.; Vargas, Francisco M.

doi:10.1016/j.fluid.2020.112896

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Using suitable mixing rules for the analytical functions, the viscosity can be calculated not only for pure substances but also for fluid mixtures. In the last decades, various modifications have been published that allow for the calculation of viscosities for a wide range of fluids and their mixtures, e.g., [3,[33][34][35][36][37]. However, since the friction theory requires substance-specific parameters, which have to be adjusted to experimental data, all of these modifications are only valid for the specific fluids analyzed in the respective publication.…”

Section: Friction Theorymentioning

confidence: 99%

Dynamic Viscosity of Binary Fluid Mixtures: A Review Focusing on Asymmetric Mixtures

Thol

Richter

2021

Int J Thermophys

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A literature review on experimental data for binary mixtures of methane and carbon dioxide with hydrocarbons up to n-hexadecane is presented. Based on these data, the extended corresponding states method, two entropy scaling approaches, and the friction theory are analyzed with respect to their capability of calculating viscosity values with increasing asymmetry of the binary mixture. It is shown that not only the viscosity model but also the underlying thermodynamic equation of state has a significant influence on the result of such calculations. Shortcomings are identified both in the experimental data and in the modeling approaches.

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Section: Friction Theorymentioning

confidence: 99%

Dynamic Viscosity of Binary Fluid Mixtures: A Review Focusing on Asymmetric Mixtures

Thol

Richter

2021

Int J Thermophys

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“…Friction theory ,− has gained popularity as a viscosity model that unlike most models, does not require density as input and instead links viscosity to the attractive and repulsive pressures from an equation of state (EoS). One-parameter friction theory is one of the more popular versions of the model that uses a cubic EoS such as the Peng–Robinson (PR) EoS to obtain pressure and has been shown to predict the viscosity of pure components with high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Viscosity Modeling of Light Crude Oils under Gas Injection Using One-Parameter Friction Theory

Khemka

Abutaqiya²,

Chapman

et al. 2020

Ind. Eng. Chem. Res.

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The viscosity of crude oils and their blends is a key parameter for studying hydrocarbon flow in reservoirs with gas injection and well analyzing the performance during gas lift. Even though several models have been developed to predict the viscosity of live crude oils, no study investigated the viscosity modeling of crude oils under gas injection. In this study, the one-parameter friction theory framework is combined with three characterization methods that were previously explored to model the viscosity of live oils (Khemka et al., Fuel, 2021, 283, 118926), and their predictive capabilities are further investigated for modeling the viscosity of blends of crude oil with five different gases. The performance of the recently developed SARA-based characterization using the Peng−Robinson (PR) equation of state (EoS) is compared with the SARA-based method using the Perturbed-Chain Statistical Association Fluid Theory (PC-SAFT) EoS and the single carbon number (SCN) method using the PR EoS by testing against 392 experimental viscosity data points from 23 different blends. The models' strong predictive capabilities are demonstrated by the fact that while only live oil data at saturation is required to fit simulation parameters, each model predicts the viscosity of various blends in the single-phase region with only 7% average error, which is satisfactory for practical applications. Even in the two-phase region, the predictions are within the experimental uncertainty; however, the SARA-based methods deliver slightly improved viscosity predictions even though they have a lower number of characterized components than the SCN method. Additionally, despite using the relatively simpler PR EoS with the SARA-based method, the viscosity predictions are at least as good as the predictions obtained using the highly advanced PC-SAFT EoS.

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Viscosity and Thermal Conductivity Model of HFOs and HFO/HFC Mixtures Based on Friction Theory

Jia

Wang

et al. 2023

Int J Thermophys

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One-parameter friction theory viscosity model for the cubic-plus-chain equation of state

Cited by 4 publications

References 36 publications

Dynamic Viscosity of Binary Fluid Mixtures: A Review Focusing on Asymmetric Mixtures

Dynamic Viscosity of Binary Fluid Mixtures: A Review Focusing on Asymmetric Mixtures

Viscosity Modeling of Light Crude Oils under Gas Injection Using One-Parameter Friction Theory

Viscosity and Thermal Conductivity Model of HFOs and HFO/HFC Mixtures Based on Friction Theory

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