Phase Stability of CH4 and CO2 Hydrates under Confinement Predicted by Machine Learning
Long Wan,
Pinqiang Cao,
Jianlong Sheng
Abstract:Understanding the phase stability of gas hydrates under confinement is fundamental to the geological stability evolutions of gas hydrate systems on Earth. Herein, the phase stability of CH 4 and CO 2 hydrates under confinement is predicted by machine learning. Three machine learning models, including support vector machine, random forest, and gradient boosting decision tree, are constructed to predict the phase stability of CH 4 and CO 2 hydrates under confinement. Our machine learning results show that the pr… Show more
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