全景钻孔图像中结构面全自动识别方法研究

doi:10.13722/j.cnki.jrme.2017.0021

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1216 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要数字全景钻孔摄像技术在实际工程上得到了广泛的应用，获得大量的高精度实测钻孔图像。这些钻孔图像准确记录了地质特征信息，特别是结构面的几何形态特征。然而，这些特征信息的获取通常是由人工完成的，工作量大，人为因素较多。针对该问题，提出一种针对全景钻孔图像的结构面全自动识别方法。该方法首先提出用图像灰度梯度合成信号在钻孔深度方向的投影的方法来划分结构面所在区域及其产状范围；然后提出用标准模板正弦函数迭代匹配结构面特征量的方法来搜寻区域内结构面的所有可能正弦曲线，并从中筛选出最优的正弦曲线作为结构面的特征曲线；最后结合区域划分和模板函数匹配的结果，分析特征曲线参数，并进行再匹配和转换，最终得到工程所需的结构面位置、倾向、倾角和隙宽等参数，从而实现钻孔图像结构面的全自动识别。结果表明该方法能够连续快速地全自动识别整个钻孔图像内的结构面，并获得对应的高精度几何参数，算法稳定可靠、结构面识别率高。与传统方法相比，该方法首次实现了整个钻孔图像中结构面的全自动识别与几何参数提取，极大地提高了工作效率，为钻孔图像的后期处理与信息获取提供一种实际可行的有效方法。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	邹先坚1
	2
	王川婴1
	韩增强1
	汪进超1
	王益腾1
	宋欢2

关键词 ：岩石力学, 钻孔图像, 结构面, 全自动识别, 模板函数, 参数提取

Abstract：Panoramic digital cameras for boreholes have been widely employed in engineering practice，and a large number of high accuracy images of boreholes have been obtained. The borehole images record accurately the geological features，especially the structural features of the structural planes. However，since the acquisition of these features is usually undertaken manually，the workload is large and the results can be affected by many man made factors. To solve this problem，this paper presents a method of fully automatic identification of structural planes with the panoramic camera images of borehole. In this method，the gray level of images，the gradient and the projection method are employed to distinguish the region and the area of the structural plane occurrence. The standard sine function matching is employed to search the structural plane in the region. The optimal sine curve is screened out and adopted as the feature curve of structure plane. The parameters of the feature curve are analyzed and converted into the parameters of the structural plane required in engineering projects，such as the position，the inclination，the dip angle and the fracture width，etc. The results show that the method can automatically identify the structural plane with the borehole image continuously and quickly and can obtain the corresponding structural parameters accurately. The method is stable and reliable. Compared with the traditional methods，this method realizes the fully automatic identification of the whole structural planes and the extraction of geometric parameters. It improves greatly the working efficiency，and provides an effective solution for the post processing and information acquisition of the borehole image.

Key words： rock mechanics borehole image structural plane full-automatic identification template function parameter extraction

引用本文:

邹先坚1，2，王川婴1，韩增强1，汪进超1，王益腾1，宋欢2. 全景钻孔图像中结构面全自动识别方法研究[J]. 岩石力学与工程学报, 2017, 36(8): 1910-1920.
ZOU Xianjian1，2，WANG Chuanying1，HAN Zengqiang1，WANG Jincaho1，WANG Yiteng1，SONG Huan2. Fully automatic identifying the structural planes with panoramic images of boreholes. , 2017, 36(8): 1910-1920.

链接本文:

http://www.rockmech.org/CN/10.13722/j.cnki.jrme.2017.0021 或 http://www.rockmech.org/CN/Y2017/V36/I8/1910

[1]	ZOHREH M，JUNIN R，JEFFREYS P. Evaluate the borehole condition to reduce drilling risk and avoid potential well bore damages by using image logs[J]. Journal of Petroleum Science and Engineering，2014，122：318-330. " target="_blank">
[13]	AL-SIT W，AL-NUAIMY W，MARELLI M，et al. Visual texture for automated characterization of geological features in borehole televiewer imagery[J]. Journal of Applied Geophysics，2015，119：139-146. " target="_blank">
[7]	LOFI J，PEZARD P，LOGGIA D，et al. Geological discontinuities，main flow path and chemical alteration in a marly hill prone to slope instability：assessment from petrophysical measurements and borehole image analysis[J]. Hydrological Processes，2012，26(14)：2 071-2 084. " target="_blank">
[3]	王川婴，LAWK T. 钻孔摄像技术的发展与现状[J]. 岩石力学与工程学报，2005，24(19)：42-50.(WANG Chuanying，LAWK T. Review of borehole camera technology[J]. Chinese Journal of Rock Mechanics and Engineering，2005，24(19)：42-50.(in Chinese))
[11]	ZOU X J，MA Z M，HU W B，et al. B-mode ultrasound imaging measurement and 3D reconstruction of submerged topography in sediment-laden flow[J]. Measurement，2015，72：20-31. " target="_blank">
[16]	OZKAYA S I. KINKFOLD-an autoLISP program for construction of geological cross-sections using borehole image data[J]. Computers and Geosciences，2002，28(3)：409-420.
[14]	吴剑，冯少孔，李宏阶. 钻孔成像中结构面自动判读技术研究[J]. 岩土力学，2011，32(3)：951-957.(WU Jian，FENG Shaokong，LI Hongjie. Study of automatically extracting structural plane parameters from borehole images[J]. Rock and Soil Mechanics，2011，32(3)：951-957.(in Chinese))
[18]	GLOSSOP K，LISBOA P J G，RUSSELL P C，et al. An implementation of the Hough transformation for the identification and labeling of fixed period sinusoidal curves[J]. Computer Vision and Image Understanding，1999，74(1)：96-100. " target="_blank">
[19]	葛修润，王川婴. 数字式全景钻孔摄像技术与数字钻孔[J]. 地下空间，2001，21(4)：254-261.(GE Xiurun，WANG Chuanying. Digital panoramic borehole camera technique and digital borehole[J]. Chinese Journal of Rock Mechanics and Engineering，2001，21(4)：254-261.(in Chinese))
[22]	ZOU X J，WANG C Y，SONG H，et al. Experimental measurements of sediment incipient velocity by using B-scan ultrasound imaging device in the water channel[J]. Measurement，2017，98：228-236. " target="_blank">
[2]	JOHN H W，CAROLE D J. Acoustic and optical borehole-wall imaging for fractured-rock aquifer studies[J]. Journal of Applied Geophysics，2004，55(1)：151-159. " target="_blank">
[4]	康红普，司林坡，苏波. 煤岩体钻孔结构观测方法及应用[J]. 煤炭学报，2010，35(12)：1 949-1 956.(KANG Hongpi，SI Linpo，SU Bo，et al. Borehole observation methods in coal and rock mass and their applications[J]. Journal of China Coal Society，2010，35(12)：1 949-1 956.(in Chinese))
[9]	王川婴，葛修润，白世伟. 数字式全景钻孔摄像系统及应用[J]. 岩土力学，2001，22(4)：522-525.(WANG Chuanying，GE Xiurun，BAI Shiwei. The digital panoramic borehole camera system and its application[J]. Rock and Soil Mechanics，2001，22(4)：522-525.(in Chinese))
[20]	ZOU X J，SONG H，WANG C Y，et al. Relationships between B-mode ultrasound imaging signals and suspended sediment concentrations[J]. Measurement，2016，92：34-41. " target="_blank">
[21]	路志英，刘海，贾惠珍，等. 基于雷达反射率图像特征的冰雹暴雨识别[J]. 物理学报，2014，63(18)：485-496.(LU Zhiying，LIU Hai，JIA Huizhen，et al. Recognition of hail and rainstorm based on the radar reflectivity image features[J]. Acta Physica Sinica，2014，63(18)：485-496.(in Chinese))
[12]	宋欢，王川婴，邹先坚，等. 基于B超图像的水下模型地形提取方法[J]. 应用基础与工程科学学报，2015，23(2)：225-232.(SONG Huan，WANG Chuanying，ZOU Xianjian，et al. An extracting method of underwater model topography based on B-mode ultrasound images[J]. Journal of Basic Science and Engineering，2015，23(2)：225-232.(in Chinese)) " target="_blank">
[15]	杨举，晏鄂川，季惠彬，等. 基于数字钻孔影像的深部结构面类型识别及发育特征研究[J]. 工程地质学报，2011，19(3)：332-337.(YANG Ju，YAN Echuan，JI Huibin，et al. Digital drillhole images based identification of discontinuity classification and development in deep rocks[J]. Journal of Engineering Geology，2011，19(3)：332-337.(in Chinese))
[17]	曹洋兵，晏鄂川，胡德新，等. 岩体结构面产状测量的钻孔摄像技术及其可靠性[J]. 地球科学：中国地质大学学报，2014，39(4)：473-480.(CAO Yangbing，YAN Echuan，HU Dexin，et al. Calculation methods of rock mass discontinuity orientation measured by borehole camera technology and technology reliability[J]. Journal of China University of Geosciences：Earth Science，2014，39(4)：473-480.(in Chinese))
[6]	SCHEPERS R，RAFAT G，GELBKE C，et al. Application of borehole logging，core imaging and tomography to geotechnical exploration[J]. International Journal of Rock Mechanics and Mining Sciences，2001，38(6)：867-876. " target="_blank">
[5]	王川婴，葛修润，白世伟. 数字式全景钻孔摄像系统研究[J]. 岩石力学与工程学报，2002，21(3)：398-403.(WANG Chuanying，GE Xiurun，BAI Shiwei. Study of the digital panoramic borehole camera system[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(3)：398-403.(in Chinese))
[8]	MALONE T，HUBBARD B，MERTON-LYN D，et al. Borehole and ice feature annotation tool(BIFAT)：a program for the automatic and manual annotation of glacier borehole images[J]. Computers and Geosciences，2013，51：381-389. " target="_blank">
[10]	BHASKAR B T，PAUL H，KENZI K. Semi-automatic analysis of rock fracture orientations from borehole wall images[J]. Geophysics，1997，62(1)：129-137. " target="_blank">