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A Practical Method for the Automatic Recognition of Rock Structures in Panoramic Borehole Image during Deep-Hole Drilling Engineering

文献类型：期刊论文

作者Zou, Xianjian3; Wang, Chuanying3; Zhang, Huajun2; Chen, Shuangyuan1,3
刊名APPLIED SCIENCES-BASEL
出版日期2021-11-01
卷号11期号:21页码:14
关键词borehole image automatic recognition structural plane clustering image process drilling engineering application
DOI10.3390/app112110490
英文摘要Featured ApplicationThe obtained kinds of borehole camera images of long or deep holes in the tunnels of the building Sichuan-Tibet Railway.Digital panoramic borehole imaging technology has been widely used in the practice of drilling engineering. Based on many high-definition panoramic borehole images obtained by the borehole imaging system, this paper puts forward an automatic recognition method based on clustering and characteristic functions to perform intelligent analysis and automatic interpretation researches, and successfully applied to the analysis of the borehole images obtained at the Wudongde Hydropower Station in the south-west of China. The results show that the automatic recognition method can fully and quickly automatically identify most of the important structural planes and their position, dip, dip angle and gap width and other characteristic parameter information in the entire borehole image. The recognition rate of the main structural plane is about 90%. The accuracy rate is about 85%, the total time cost is about 3 h, and the accuracy deviation is less than 4% among the 12 boreholes with a depth of about 50 m. The application of automatic recognition technology to the panoramic borehole image can greatly improve work efficiency, reduce the time cost, and avoid the interference caused by humans, making it possible to automatically recognize the structural plane parameters of the full-hole image.
资助项目National Natural Science Foundation of China[42007266] ; Natural Science Foundation of Hubei Province[2019CFB345]
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
出版者MDPI
WOS记录号WOS:000720500600001
源URL[http://119.78.100.198/handle/2S6PX9GI/28264]  
专题中科院武汉岩土力学所
通讯作者Zou, Xianjian
作者单位1.Univ Chinese Acad Sci, Fac Engn Sci, Beijing 100049, Peoples R China
2.Hubei Aerosp Vehicle Res Inst, Wuhan 430040, Peoples R China
3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式
GB/T 7714		 Zou, Xianjian,Wang, Chuanying,Zhang, Huajun,et al. A Practical Method for the Automatic Recognition of Rock Structures in Panoramic Borehole Image during Deep-Hole Drilling Engineering[J]. APPLIED SCIENCES-BASEL,2021,11(21):14.
APA Zou, Xianjian,Wang, Chuanying,Zhang, Huajun,&Chen, Shuangyuan.(2021).A Practical Method for the Automatic Recognition of Rock Structures in Panoramic Borehole Image during Deep-Hole Drilling Engineering.APPLIED SCIENCES-BASEL,11(21),14.
MLA Zou, Xianjian,et al."A Practical Method for the Automatic Recognition of Rock Structures in Panoramic Borehole Image during Deep-Hole Drilling Engineering".APPLIED SCIENCES-BASEL 11.21(2021):14.

入库方式： OAI收割

来源：武汉岩土力学研究所

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