Gas viscosity is an important physical property that controls and influences the flow of gas through porous media and pipe networks. An accurate gas viscosity model is essential for use with reservoir and process simulators. The present study is concerned with the evaluation of available gas viscosity correlations. The paper also presents new models for predicting gas viscosity for Yemeni gas reservoirs. The most often used different correlations for gas viscosity were assisted for Yemeni gas samples. The limitations of these correlations have been analyzed using Yemeni field data. Calculations are made using 120 experimental data points from Yemeni gas reservoirs. The most common gas viscosity correlations such as Lee et al., Carr et al. and Dean and Stile were selected as a suitable compositional viscosity models for developing new models using fitting the Yemeni gas reservoirs data. Initially, all considered models in this study were evaluated for the Yemeni gas data. To improve the performance of these correlations their coefficients were regenerated to fit the Yemeni gas samples data set using linear and nonlinear regression methods. The behaviour of newly developed models was evaluated using statistical error analysis. The newly developed models show accuracy with the desirable engineering limits
Ba-Jaalah, Khaled Saeed; Al-Khudaf, Abbas Mohamed; and BinMerdhah, Amer Badr
"A Modified Model for Prediction of Gas Viscosities of Yemeni Gas Fields,"
Hadhramout University Journal of Natural & Applied Sciences: Vol. 16
, Article 1.
Available at: https://digitalcommons.aaru.edu.jo/huj_nas/vol16/iss1/1