An automatic recognition and parameter extraction method for structural planes in borehole image
As a breakthrough in borehole imaging technology, digital panoramic borehole camera technology has been widely employed. The high-resolution panoramic borehole images can accurately reproduce the geometric features of structural planes. However, the detection of these features is usually done manual...
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| Published in | Journal of applied geophysics Vol. 135; pp. 135 - 143 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0926-9851 1879-1859 |
| DOI | 10.1016/j.jappgeo.2016.10.005 |
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| Abstract | As a breakthrough in borehole imaging technology, digital panoramic borehole camera technology has been widely employed. The high-resolution panoramic borehole images can accurately reproduce the geometric features of structural planes. However, the detection of these features is usually done manually, which is both time-consuming and introduces human errors. To solve this problem, this paper presents a method for the automatic recognition and parameter extraction of borehole geometric features of camera images. In this method, the image's gray and gradient level, and also their projection on the depth axis are used to identify the locations of structural planes. Afterwards, iterative matching is employed by using a template of sinusoidal function to search for structural planes in the identified image blocks. Finally, optimal sine curves are selected as the feature curves of structural planes, and their related parameters are converted into structural plane parameters required for engineering, such as their positions, dip directions, dip angles and fracture widths. The method can automatically identify all of structural planes throughout the whole borehole camera image in a continuous and rapid manner, and obtain the corresponding structural parameters. It has proven highly reliable, accurate and efficient.
•Using a gray gradient synthesis signal to partition structural planes.•Using sine function to match structural plane curves.•Automatic recognition and parameter extraction for all structural planes. |
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| AbstractList | As a breakthrough in borehole imaging technology, digital panoramic borehole camera technology has been widely employed. The high-resolution panoramic borehole images can accurately reproduce the geometric features of structural planes. However, the detection of these features is usually done manually, which is both time-consuming and introduces human errors. To solve this problem, this paper presents a method for the automatic recognition and parameter extraction of borehole geometric features of camera images. In this method, the image's gray and gradient level, and also their projection on the depth axis are used to identify the locations of structural planes. Afterwards, iterative matching is employed by using a template of sinusoidal function to search for structural planes in the identified image blocks. Finally, optimal sine curves are selected as the feature curves of structural planes, and their related parameters are converted into structural plane parameters required for engineering, such as their positions, dip directions, dip angles and fracture widths. The method can automatically identify all of structural planes throughout the whole borehole camera image in a continuous and rapid manner, and obtain the corresponding structural parameters. It has proven highly reliable, accurate and efficient.
•Using a gray gradient synthesis signal to partition structural planes.•Using sine function to match structural plane curves.•Automatic recognition and parameter extraction for all structural planes. |
| Author | Wang, Chuanying Zou, Xianjian Wang, Jinchao Han, Zengqiang Wang, Yiteng |
| Author_xml | – sequence: 1 givenname: Chuanying surname: Wang fullname: Wang, Chuanying email: chywang@whrsm.ac.cn organization: State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Hubei, Wuhan 430071, China – sequence: 2 givenname: Xianjian orcidid: 0000-0003-4356-1695 surname: Zou fullname: Zou, Xianjian organization: State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Hubei, Wuhan 430071, China – sequence: 3 givenname: Zengqiang surname: Han fullname: Han, Zengqiang organization: State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Hubei, Wuhan 430071, China – sequence: 4 givenname: Yiteng surname: Wang fullname: Wang, Yiteng organization: State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Hubei, Wuhan 430071, China – sequence: 5 givenname: Jinchao surname: Wang fullname: Wang, Jinchao organization: State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Hubei, Wuhan 430071, China |
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| Cites_doi | 10.1016/j.jappgeo.2003.06.013 10.1190/geo2012-0325.1 10.1016/j.jappgeo.2003.06.006 10.1016/S1365-1609(01)00052-1 10.4028/www.scientific.net/AMR.594-597.2285 10.1002/hyp.7997 10.1016/j.jappgeo.2003.06.009 10.1016/j.compgeo.2014.06.006 10.1190/geo2013-0189.1 10.1007/s00603-011-0157-2 10.1007/s00603-013-0496-2 10.1016/j.cageo.2012.09.002 10.1016/j.petrol.2014.07.027 10.1006/cviu.1999.0747 10.1109/LGRS.2012.2195471 10.1144/GSL.SP.1999.159.01.01 10.1016/j.tust.2015.03.005 10.1016/j.compgeo.2015.02.016 10.1007/s12303-014-0056-0 10.1029/97JB00626 10.1190/1.1444112 10.1016/S0098-3004(01)00043-7 |
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| Keywords | Sine curve Borehole image Structural plane Automatic recognition Regional partitioning |
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Solid Earth doi: 10.1029/97JB00626 – volume: 62 start-page: 129 issue: 1 year: 1997 ident: 10.1016/j.jappgeo.2016.10.005_bb0090 article-title: Semi-automatic analysis of rock fracture orientations from borehole wall images publication-title: Geophysics doi: 10.1190/1.1444112 – volume: 28 start-page: 409 issue: 3 year: 2002 ident: 10.1016/j.jappgeo.2016.10.005_bb0075 article-title: KINKFOLD—an AutoLISP program for construction of geological cross-sections using borehole image data publication-title: Comput. Geosci. doi: 10.1016/S0098-3004(01)00043-7 |
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| Snippet | As a breakthrough in borehole imaging technology, digital panoramic borehole camera technology has been widely employed. The high-resolution panoramic borehole... |
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| StartPage | 135 |
| SubjectTerms | Automatic recognition Borehole image Regional partitioning Sine curve Structural plane |
| Title | An automatic recognition and parameter extraction method for structural planes in borehole image |
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