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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
- 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.
- Subjects :
- Volume content
Cell potential
Chemistry
business.industry
Clathrate hydrate
Energy Engineering and Power Technology
Thermodynamics
02 engineering and technology
010502 geochemistry & geophysics
Geotechnical Engineering and Engineering Geology
Mole fraction
01 natural sciences
Absolute deviation
Fuel Technology
020401 chemical engineering
Natural gas
0204 chemical engineering
Hydrate
business
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 18755100
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Journal of Natural Gas Science and Engineering
- Accession number :
- edsair.doi...........1b8907acb87c8064de06c0bd5a29e0e3