Influence of guest vapor-liquid critical point on hydrate formation conditions

AIChE Journal ◽  
1993 ◽  
Vol 39 (10) ◽  
pp. 1735-1737 ◽  
Author(s):  
V. Bansal ◽  
R. L. Christiansen ◽  
E. D. Sloan
Keyword(s):  
Critical Point ◽  
Hydrate Formation ◽  
Formation Conditions ◽  
Vapor Liquid

scholarly journals Integrating Support Vector Regression with Genetic Algorithm for Hydrate Formation Condition Prediction

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 519
Author(s):  
Jie Cao ◽  
Shijie Zhu ◽  
Chao Li ◽  
Bing Han
Keyword(s):  
Genetic Algorithm ◽  
Natural Gas ◽  
Gas Hydrate ◽  
Hydrate Formation ◽  
Support Vector ◽  
Gas Hydrate Formation ◽  
Svm Model ◽  
Data Points ◽  
Formation Conditions ◽  
Relative Molecular Weight

To predict the natural gas hydrate formation conditions quickly and accurately, a novel hybrid genetic algorithm–support vector machine (GA-SVM) model was developed. The input variables of the model are the relative molecular weight of the natural gas (M) and the hydrate formation pressure (P). The output variable is the hydrate formation temperature (T). Among 10 gas samples, 457 of 688 data points were used for training to identify the optimal support vector machine (SVM) model structure. The remaining 231 data points were used to evaluate the generalisation capability of the best trained SVM model. Comparisons with nine other models and analysis of the outlier detection revealed that the GA-SVM model had the smallest average absolute relative deviation (0.04%). Additionally, the proposed GA-SVM model had the smallest amount of outlier data and the best stability in predicting the gas hydrate formation conditions in the gas relative molecular weight range of 15.64–28.97 g/mol and the natural gas pressure range of 367.65–33,948.90 kPa. The present study provides a new approach for accurately predicting the gas hydrate formation conditions.

scholarly journals Hydrate Formation Conditions of Methane Hydrogen Sulfide Mixtures

2014 ◽  
Vol 36 (23) ◽  
pp. 2527-2535 ◽  
Author(s):  
S. Bulbul ◽  
M. Parlaktuna ◽  
T. Mehmetoglu ◽  
U. Karabakal
Keyword(s):  
Hydrogen Sulfide ◽  
Hydrate Formation ◽  
Formation Conditions

Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions

2015 ◽  
Vol 12 ◽  
pp. 45-55 ◽  
Author(s):  
Ebrahim Soroush ◽  
Mohammad Mesbah ◽  
Amin Shokrollahi ◽  
Jake Rozyn ◽  
Moonyong Lee ◽  
...  
Keyword(s):  
Natural Gas ◽  
Gas Hydrate ◽  
Hydrate Formation ◽  
Natural Gas Hydrate ◽  
Modeling Tool ◽  
Robust Modeling ◽  
Gas Hydrate Formation ◽  
Formation Conditions
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