Predicting the compressibility factor for gas condensate samples using a thermodynamic model with a three-parameter cubic equation of state

LI Changjun; PENG Yang

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Predicting the compressibility factor for gas condensate samples using a thermodynamic model with a three-parameter cubic equation of state

LI Changjun *,PENG Yang

School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China

*Correspondence author

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Funding: Research Fund for the Doctoral Program of Higher Education of China （No.20125121110003）

Opened online:30 May 2016

Accepted by: none

Citation: LI Changjun,PENG Yang.Predicting the compressibility factor for gas condensate samples using a thermodynamic model with a three-parameter cubic equation of state[OL]. [30 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4690165

The 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.

Keywords:Gas condensate; Compressibility factor; PT EoS; Empirical correlation; Plus fraction; Thermodynamic model

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