Total organic carbon content logging prediction based on machine learning: A brief review
文献类型：期刊论文
| 作者 | Linqi Zhu2,3 ; Xueqing Zhou2,3; Weinan Liu4; Zheng Kong1
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| 刊名 | Energy Geoscience
 |
| 出版日期 | 2022 |
| 卷号 | 4期号:2023页码:100098 |
| 目次 | 否 |
| 语种 | 英语 |
| 源URL | [http://ir.idsse.ac.cn/handle/183446/9995]  |
| 专题 | 深海科学研究部_深海地球物理与资源研究室 |
| 作者单位 | 1.Exploration and Development Research Institute, Shengli Oilfield Company, 2.Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences 3.Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, 4.CNOOC China Limited, Ltd, Shenzhen Branch, |
| 推荐引用方式 GB/T 7714 | Linqi Zhu,Xueqing Zhou,Weinan Liu,et al. Total organic carbon content logging prediction based on machine learning: A brief review[J]. Energy Geoscience,2022,4(2023):100098. |
| APA | Linqi Zhu,Xueqing Zhou,Weinan Liu,&Zheng Kong.(2022).Total organic carbon content logging prediction based on machine learning: A brief review.Energy Geoscience,4(2023),100098. |
| MLA | Linqi Zhu,et al."Total organic carbon content logging prediction based on machine learning: A brief review".Energy Geoscience 4.2023(2022):100098. |
入库方式： OAI收割
来源：深海科学与工程研究所
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