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An improved Parrish-Prausnitz (P-P) model to predict the hydrate formation condition of natural gas with a high volume content of CO2

Authors :
Yufa He
Wenlong Jia
Jiahui You
Zhuoran Li
Source :
Journal of Natural Gas Science and Engineering. 37:479-486
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Predicting the hydrate formation condition is an important issue for determining high CO 2 content natural gas transport. The widely used Parrish-Prausnitz (P-P) model cannot predict the hydrate formation temperatures and pressures accurately for high CO 2 content natural gas. This paper introduced a simple correction factor into the P-P model, resulting in an improved P-P model. The analytical expression of this new parameter is developed by correlating the deviations of the predicted hydrate formation temperatures with the CO 2 molar fraction in the gas mixtures. A total of 140 sets of experimental data were applied to validate the proposed model, which covered wide pressure and CO 2 molar fraction ranges of 1.45–13.0 MPa and 0–90%, respectively. The results show that the improved P-P model balances a simple form with high accuracy. The average deviation of the improved P-P model is 0.098 °C, whereas that of the original P-P model is 2.424 °C. It is essentially comparable in its prediction ability to CSMGem software and the cell potential method when it is applied to predicting the hydrate temperatures of high CO 2 content natural gases.

Details

ISSN :
18755100
Volume :
37
Database :
OpenAIRE
Journal :
Journal of Natural Gas Science and Engineering
Accession number :
edsair.doi...........1b8907acb87c8064de06c0bd5a29e0e3