Phase equilibrium modelling of natural gas hydrate formation conditions using LSSVM approach

2016 ◽  
Vol 34 (16) ◽  
pp. 1431-1438 ◽  
Author(s):  
Alireza Baghban ◽  
Saman Namvarrechi ◽  
Le Thi Kim Phung ◽  
Moonyong Lee ◽  
Alireza Bahadori ◽  
...  
2015 ◽  
Vol 12 ◽  
pp. 45-55 ◽  
Author(s):  
Ebrahim Soroush ◽  
Mohammad Mesbah ◽  
Amin Shokrollahi ◽  
Jake Rozyn ◽  
Moonyong Lee ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Na Wei ◽  
Cuiying Xie ◽  
Wantong Sun ◽  
Haitao Li ◽  
Lin Jiang ◽  
...  

Gas hydrates formed in the conditions of high pressure and low temperature in deep sea and in the process of oil and gas transportation, natural gas hydrate (NGH), will seriously affect the safety of drilling and completion operations and marine equipment and threaten the safety of drilling platform. How to prevent the hydrate formation in the process of oil and gas production and transportation has become an urgent problem for the oil and gas industry. For this reason, in view of the formation of NGH in the process of drilling and producing marine NGH, the phase equilibrium calculation research of NGH formation was carried out, the mathematical model of gas hydrate formation phase equilibrium condition was established, and the experimental research on NGH formation was carried out through adding different thermodynamic inhibitors. The experimental phenomena show that, first, the stirring speed has little effect on the inhibition of hydrate formation. Second, when the pressure is 10 MPa and the volume concentration of inhibitor is 1, 3, 5, and 7%, the supercooling degree of hydrate formation is 1.81, 8.89, 11.09, and 9.39°C, respectively. Third, when the volume concentration of inhibitor is 1, 3, 5, and 7%, the induction time of hydrate formation is 10328, 14231, 19576, and 24900 s, respectively. As the polymer molecules in the inhibitor reduce the activity of water in the system and fill the cavity structure of the hydrate, they reduce the generation conditions of NGH and break the original phase equilibrium conditions when NGH is generated, thus forming NGH at a lower temperature or higher pressure.


2020 ◽  
Vol 14 (3) ◽  
pp. 463-481
Author(s):  
Zhen Pan ◽  
Yi Wu ◽  
Liyan Shang ◽  
Li Zhou ◽  
Zhien Zhang

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 519
Author(s):  
Jie Cao ◽  
Shijie Zhu ◽  
Chao Li ◽  
Bing Han

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.


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