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  4. 中国科学院页岩气与地质工程重点实验室
Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints

文献类型：期刊论文

作者Xue, Qingfeng1,2,3; Wang, Yibo1,2; Zhai, Hongyu1,2; Chang, Xu1,2
刊名ENERGIES
出版日期2018-03-01
卷号11期号:3页码:15
关键词hydraulic fracturing fractures identification clustering analysis acoustic emission Longmaxi shale
ISSN号1996-1073
DOI10.3390/en11030563
英文摘要In shale gas hydraulic fracture monitoring or rock acoustic emission experiments, fracture plane identification is always a complex task. Conventional approaches typically use the source locating results derived from the micro-seismic event and then interpret the fracture plane using manual qualitative analysis. Large errors typically occur due to manual operations. On the other hand, the density-based clustering algorithm with spatial constraints is widely used in geographic information science, biological cells science and astronomy. It is an automated algorithm and can achieve good classification results. In this paper, we introduced the above-mentioned clustering algorithm with spatial constraints to fracture identification applications. Moreover, because micro-seismic events are 4D in nature, every micro-seismic event has both time and space information. Hence, we improve the conventional clustering algorithm by incorporating a time constraint. We test the proposed method using rock acoustic emissions data and compare our fracture identification results with CT scan images; the comparison clearly shows the effectiveness of the proposed method.
资助项目National Program on Key Basic Research Project of China (973 Program) for Young Scholars[2015CB258500] ; National Science Foundation of China[41390455]
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000428304300091
出版者MDPI
资助机构National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Program on Key Basic Research Project of China (973 Program) for Young Scholars ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/88180]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Wang, Yibo
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Xue, Qingfeng,Wang, Yibo,Zhai, Hongyu,et al. Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints[J]. ENERGIES,2018,11(3):15.
APA Xue, Qingfeng,Wang, Yibo,Zhai, Hongyu,&Chang, Xu.(2018).Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints.ENERGIES,11(3),15.
MLA Xue, Qingfeng,et al."Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints".ENERGIES 11.3(2018):15.

入库方式： OAI收割

来源：地质与地球物理研究所

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