中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reservoir classification and log prediction of gas hydrate occurrence in the Qiongdongnan Basin, South China Sea

文献类型:期刊论文

作者Zhu, Linqi3,4; Zhou, Xueqing3,4; Sun, Jin3,4; Liu, Yanrui3,4; Wang, Jingci2; Wu, Shiguo1,3,4
刊名FRONTIERS IN MARINE SCIENCE
出版日期2023-05-23
卷号10页码:8
关键词gas hydrate reservoir classification K-means (KM) clustering Adaboost Qiongdongnan area
DOI10.3389/fmars.2023.1055843
通讯作者Wu, Shiguo()
英文摘要Classifying natural gas hydrate reservoirs effectively and carrying out reservoir classification modelling is crucial, but to date, research on building artificial intelligence-assisted logging curve reservoir classification models is not abundant. As exploration and development have progressed, an increasing number of fine-grained reservoirs are being discovered, and their strong heterogeneity makes correct reservoir classification even more important. Two wells used for detecting hydrates in the Qiongdongnan (QDN) Basin are used to explore the relationship between logging response parameters and reservoir quality, as well as the method of building a logging-based reservoir classification model. Through K-means clustering and Adaboost methods, the K-means method is considered to be able to correspond to the hydrate enrichment degree, while the random forest method can establish an effective reservoir classification model (the recognition accuracy is 95%). In the different categories of reservoirs, the physical properties of the reservoirs are obviously poor, and the corresponding hydrate saturation is also low, which indicates that heterogeneity has indeed affected the enrichment of hydrates in fine-grained reservoirs. This reservoir classification research method can effectively recognize reservoirs.
WOS关键词GRAINED RESERVOIRS ; CONSTRAINTS ; SATURATION ; CHIMNEY ; WELL
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000999779700001
源URL[http://ir.idsse.ac.cn/handle/183446/10495]  
专题深海科学研究部_深海地球物理与资源研究室
通讯作者Wu, Shiguo
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Yangtze Univ, Wuhan, Peoples R China
3.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Lab Marine Geophys & Georesources Hainan Prov, Sanya, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Linqi,Zhou, Xueqing,Sun, Jin,et al. Reservoir classification and log prediction of gas hydrate occurrence in the Qiongdongnan Basin, South China Sea[J]. FRONTIERS IN MARINE SCIENCE,2023,10:8.
APA Zhu, Linqi,Zhou, Xueqing,Sun, Jin,Liu, Yanrui,Wang, Jingci,&Wu, Shiguo.(2023).Reservoir classification and log prediction of gas hydrate occurrence in the Qiongdongnan Basin, South China Sea.FRONTIERS IN MARINE SCIENCE,10,8.
MLA Zhu, Linqi,et al."Reservoir classification and log prediction of gas hydrate occurrence in the Qiongdongnan Basin, South China Sea".FRONTIERS IN MARINE SCIENCE 10(2023):8.

入库方式: OAI收割

来源:深海科学与工程研究所

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