Research Advances in Machine Learning Techniques in Gas Hydrate Applications
Harrison Osei,
Cornelius B. Bavoh,
Bhajan Lal
Abstract:The complex modeling accuracy of gas hydrate models has been recently improved owing to the existence of data for machine learning tools. In this review, we discuss most of the machine learning tools used in various hydrate-related areas such as phase behavior predictions, hydrate kinetics, CO 2 capture, and gas hydrate natural distribution and saturation. The performance comparison between machine learning and conventional gas hydrate models is also discussed in detail. This review shows that machine learning… Show more
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