Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints

doi:10.3390/en11030563

CORC > 地质与地球物理研究所 > 中国科学院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

	Automatic Identification of Fractures Using a Density-Based Clustering Algorithm with Time-Spatial Constraints
	Xue, Qingfeng 1,2,3; Wang, Yibo 1,2; Zhai, Hongyu 1,2; Chang, Xu 1,2
刊名	ENERGIES
	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
DOI	10.3390/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
出版者	MDPI
WOS记录号	WOS:000428304300091
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
内容类型	期刊论文
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.