کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5485238 1523006 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved Parrish-Prausnitz (P-P) model to predict the hydrate formation condition of natural gas with a high volume content of CO2
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
پیش نمایش صفحه اول مقاله
An improved Parrish-Prausnitz (P-P) model to predict the hydrate formation condition of natural gas with a high volume content of CO2
چکیده انگلیسی


- A new improved Parrish-Prausnitz model is proposed for the CO2-containing natural gas.
- The accuracy of improved P-P model has been verified by experiment data.
- The imporved P-P model has better performance than the original model and some other models.

Predicting the hydrate formation condition is an important issue for determining high CO2 content natural gas transport. The widely used Parrish-Prausnitz (P-P) model cannot predict the hydrate formation temperatures and pressures accurately for high CO2 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 CO2 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 CO2 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 CO2 content natural gases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Natural Gas Science and Engineering - Volume 37, January 2017, Pages 479-486
نویسندگان
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