Classification of shale gas “sweet spot” based on Random Forest machine learning
The classification and identification of shale gas “sweet spot” involves a variety of different factors, which requires personal experience, and is usually time and resources consuming. In order to solve this problem, an efficient and effective classification and identification method for shale gas...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
Editorial Department of Petroleum Reservoir Evaluation and Development
2023-01-01
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| Col·lecció: | Youqicang pingjia yu kaifa |
| Matèries: | |
| Accés en línia: | http://www.pred.com.cn/thesisDetails#10.13809/j.cnki.cn32-1825/te.2023.03.011 |
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