采用基于三参数立方型状态方程的热力学模型预测凝析气压缩因子

he gas compressibility factor as an essential thermodynamic parameter is often used to analyze PVT phase behavior in natural gas industry. To accurately predicate it for different gas condensate samples, a data base containing 916 data sets covering a wide range of experimental conditions is employed to establish and test the thermodynamic prediction model based on a three-parameter cubic equation of sate (EoS). The presented model which based on a modified PT EoS combines with Elliot-Daubert binary interaction coefficients correlation, two-parameter plus fraction splitting model and Hosseinifar-Jamshidi characterization method outperforms conventional empirical correlations with three mixing rules. Statistical error analysis shows that it is superior to ten empirical correlations with average absolute relative errors of 1.45% and coefficient of determination of 0.989. The proposed thermodymic model is efficient and practical for predicting the compressibility factor for various gas condensates.