Skip to Main Content
Skip Nav Destination
GEOREF RECORD

Rock joint detection from borehole imaging logs based on gray-level co-occurrence matrix and Canny edge detector

Ge Yunfeng, Du Bin, Tang Huiming and Zhong Peng
Rock joint detection from borehole imaging logs based on gray-level co-occurrence matrix and Canny edge detector
Quarterly Journal of Engineering Geology and Hydrogeology (June 2021) 55 (1)

Abstract

Rock joints play an important role in characterizing the rock mass quality for geo-mechanical design and stability analysis. An approach was developed to detect and characterize the rock joints from images collected by a borehole imaging system. A gray-level co-occurrence matrix was employed to locate the joint regions, allowing more focused and effective detection processing, followed by extractions of the upper and lower edges of rock using the Canny algorithm. Four basic geometrical parameters of rock joints (orientation, depth, aperture, and core length) were determined based on the fitting of sinusoids to joints' edges. Furthermore, the joint density was determined based on the geometric parameters. To calibrate the proposed approach, a borehole in the Rumei hydropower station engineering at Lantsang River was selected as a case study. Orientation of rock joints with gentle dip angles, which was determined from borehole imaging logs, corresponded to the measurement in three horizontal tunnels. Additionally, both joint density and pressure-wave velocity revealed that jointed rock mass was observed in the depth from 100 m to 120 m, and intact rock mass was presented in the depth of 150 m to 170 m, indicating the good performance of the proposed method.


ISSN: 1470-9236
EISSN: 2041-4803
Serial Title: Quarterly Journal of Engineering Geology and Hydrogeology
Serial Volume: 55
Serial Issue: 1
Title: Rock joint detection from borehole imaging logs based on gray-level co-occurrence matrix and Canny edge detector
Affiliation: China University of Geosciences, Faculty of Engineering, Wuhan, China
Published: 20210609
Text Language: English
Publisher: Geological Society of London, London, United Kingdom
References: 56
Accession Number: 2021-052960
Categories: Engineering geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table, geol. sketch maps
N33°00'00" - N33°00'00", E92°00'00" - E92°00'00"
Secondary Affiliation: Nanjing University, Nanjing, CHN, China
Country of Publication: United Kingdom
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data from The Geological Society, London, London, United Kingdom
Update Code: 202137
Close Modal

or Create an Account

Close Modal
Close Modal