Abstract
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.
Highlights
It is necessary to investigate the stability characteristics of rock mass structures in various engineering applications, such as geotechnical engineering, geological engineering, hydropower engineering, petroleum development and geological disaster prevention and control engineering [1,2,3]
Based on the automatic recognition technology of borehole images of the predecessors, an automatic recognition method of panoramic borehole images based on clustering and feature function is proposed, which is for use with high-definition borehole images obtained using a digital panoramic borehole camera system (DPBCS)
For the panoramic borehole image data obtained by the DPBCS for each hole, the system automatically preprocesses the image to obtain some initial data
Summary
It is necessary to investigate the stability characteristics of rock mass structures in various engineering applications, such as geotechnical engineering, geological engineering, hydropower engineering, petroleum development and geological disaster prevention and control engineering [1,2,3]. Especially in the field of panoramic borehole image recognition of deep hole or multi-hole detection, this manual identification process is a huge workload, involving repetitive operations It is very time-consuming and laborious [26,27]. Based on the automatic recognition technology of borehole images of the predecessors, an automatic recognition method of panoramic borehole images based on clustering and feature function is proposed, which is for use with high-definition borehole images obtained using a digital panoramic borehole camera system (DPBCS). This method was successfully applied in the geological drilling exploration of Wudongde Hydropower Station. The system includes data acquisition software and data analysis softwar ddepigthitsiigznealthacequriesictioorndbeoadrdb, aonrdeahnoilnetevrfiadceeboo,aardn. aTlhyezsoefttwhaereppaarntoofrathme siycstbemorehole itnhinceltrueedcreopsrddreaedttabtaohcreqehuosislteirtivuoidncetsoou,fartwnaaallrypezlaeanthndeedp,aatrnaeoaarnalamilzyicesibstoshroeefhtwoslteaoriemr.aaTggheee, isadoenftnwdtiafymreaancadinnindtteiegnriptairzenet ce of b thaensdtrupcrtuorvalidpleanree, lreialbizleethbeosrteorhagoeleanddamtainatnendanrcoe cokf bmoreahsoslesitmraugcetduartea, panadramete pdorroiflvlidindgreielrnleiglinianbgeleeeribnnoggr.eihnoeleedraintaga.nd rock mass structure parameters for various kinds of FFigiugrue 1r.ePa1n.oPraamnicobroarmehoicle bcaomreerahporloebecsa. mera probes
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