DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles
Changes in underground environments have been predicted by investigating underground bedrock conditions and analyzing the shapes of discontinuities in the rocks. The most commonly used method is to drill a borehole, insert a camera inside and capture the wall of the borehole in a photograph to inves...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/14/6423 |
| _version_ | 1797527652254351360 |
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| author | Dongseob Lee Sangyoon Sung Junghae Choi You-Hong Kihm |
| author_facet | Dongseob Lee Sangyoon Sung Junghae Choi You-Hong Kihm |
| author_sort | Dongseob Lee |
| collection | DOAJ |
| description | Changes in underground environments have been predicted by investigating underground bedrock conditions and analyzing the shapes of discontinuities in the rocks. The most commonly used method is to drill a borehole, insert a camera inside and capture the wall of the borehole in a photograph to investigate the discontinuities. However, if the images of the borehole cannot be captured, the characteristics of the discontinuities in the bedrock are analyzed by capturing the drilling cores in photographs. In this case, considerable time is required to analyze the drilling cores with the naked eye and measure the attitudes of the discontinuities developed in the cores in detail. Moreover, the results may vary depending on the researcher’s perspective. To overcome these limitations, this study develops a program for analyzing photographs of drilling cores. The program can automatically identify discontinuities in drilling cores and measure the attitudes through linear fitting using only drilling core photographs. In addition, we apply the program to practical field data to verify its applicability. We found that the program could provide more accurate and objective information on drilling cores than the currently used method and could more effectively organize the characteristics of fractures in the study area. |
| first_indexed | 2024-03-10T09:46:45Z |
| format | Article |
| id | doaj.art-3ea5f41903c343c1a6b960410989c860 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:46:45Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3ea5f41903c343c1a6b960410989c8602023-11-22T03:09:29ZengMDPI AGApplied Sciences2076-34172021-07-011114642310.3390/app11146423DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip AnglesDongseob Lee0Sangyoon Sung1Junghae Choi2You-Hong Kihm3Department of Earth Science Education, Kyungpook National University, Daegu 41566, KoreaDepartment of Earth Science Education, Kyungpook National University, Daegu 41566, KoreaDepartment of Earth Science Education, Kyungpook National University, Daegu 41566, KoreaCenter for HLW Geological Disposal, Korea Institute of Geosciences and Mineral Resources, Daejeon 34132, KoreaChanges in underground environments have been predicted by investigating underground bedrock conditions and analyzing the shapes of discontinuities in the rocks. The most commonly used method is to drill a borehole, insert a camera inside and capture the wall of the borehole in a photograph to investigate the discontinuities. However, if the images of the borehole cannot be captured, the characteristics of the discontinuities in the bedrock are analyzed by capturing the drilling cores in photographs. In this case, considerable time is required to analyze the drilling cores with the naked eye and measure the attitudes of the discontinuities developed in the cores in detail. Moreover, the results may vary depending on the researcher’s perspective. To overcome these limitations, this study develops a program for analyzing photographs of drilling cores. The program can automatically identify discontinuities in drilling cores and measure the attitudes through linear fitting using only drilling core photographs. In addition, we apply the program to practical field data to verify its applicability. We found that the program could provide more accurate and objective information on drilling cores than the currently used method and could more effectively organize the characteristics of fractures in the study area.https://www.mdpi.com/2076-3417/11/14/6423image processingautomated programdrilling corefracture |
| spellingShingle | Dongseob Lee Sangyoon Sung Junghae Choi You-Hong Kihm DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles Applied Sciences image processing automated program drilling core fracture |
| title | DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles |
| title_full | DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles |
| title_fullStr | DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles |
| title_full_unstemmed | DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles |
| title_short | DSCope: Development of Automatic Program for Detecting Fractures and Measuring Dip Angles |
| title_sort | dscope development of automatic program for detecting fractures and measuring dip angles |
| topic | image processing automated program drilling core fracture |
| url | https://www.mdpi.com/2076-3417/11/14/6423 |
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