Total organic carbon content logging prediction based on machine learning: A brief review

	Total organic carbon content logging prediction based on machine learning: A brief review
	Linqi Zhu 2,3; Xueqing Zhou 2,3; Weinan Liu 1; Zheng Kong 4
刊名	Energy Geoscience
	2022
卷号	4 期号:2023 页码:100098
语种	英语
内容类型	期刊论文
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.CNOOC China Limited, Ltd, Shenzhen Branch, 2.Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences 3.Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, 4.Exploration and Development Research Institute, Shengli Oilfield Company,
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.