Machine Learning Application in Gas Hydrates
The issue of gas hydrates is one of the major concerns in flow assurance industry. In order to study the gas hydrates theroretically, reserachers have developed different thermodynamic and kinetic models to predict the hydrate formation parameÂters. The use of machine learning in gas hydrate inhibi...
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| 主要な著者: | , |
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| フォーマット: | 図書 |
| 出版事項: |
Springer Nature
2023
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/38044/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174775060&doi=10.1007%2f978-3-031-24231-1_9&partnerID=40&md5=c19804eb70890243ee386974b579db7b |
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