基于光声组合测量的地质钻孔三维可视化研究

doi:10.13722/j.cnki.jrme.2022.0528

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Abstract In view of the limitations of borehole optical image information in reflecting the borehole contour characteristics，and at the same time，in order to enrich the source of borehole texture and geometric contour information，this paper proposes a 3D visualization method of geological boreholes based on photo-acoustic combination measurement，which visually presents the 3D morphological characteristics of the borehole wall by integrating the circumferential and axial texture images and scanning contour information of the borehole. The method can solve a series of problems，such as borehole wall optical image reconstruction，contour curve reconstruction，3D modeling and data visualization optimization based on the synchronous fusion of optical image information and acoustic scanning data. Firstly，based on the principle of optical image and sound scanning synchronous measurement technology，which can realize the borehole fine measurement，a method of borehole wall optical image and contour curve reconstruction is proposed，which can realize the stitching of borehole wall texture images at different depths and the modeling of borehole wall 3D contour. Then，based on the borehole wall surface texture and geometric contour，the mapping relationship and fusion mechanism between the photo-acoustic combined measurement data are established，and a 3D visualization system of geological boreholes based on photo-acoustic combined measurement is formed. Finally，combined with a specific case，the 3D visualization and morphological feature analysis of geological borehole are completed，and the feasibility and superiority of this method are verified. The research shows that the borehole data obtained by the combined measurement of optical image and sound scanning is more abundant，and the 3D visualization model of geological borehole can effectively improve the accuracy and objectivity interpretation of geological borehole wall data，which can provide a new idea and method for the fine detection and research of geological borehole rock mass structure.

Key words： rock mechanics photo-acoustic measurement borehole detection rock mass structure borehole wall visualization

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	Articles by authors
	WANG Jinchao1
	WANG Chuanying1
	DU Qi2
	LUO Peng2
	HUANG Junfeng3

Cite this article:

WANG Jinchao1,WANG Chuanying1,DU Qi2, et al. Research on 3D visualization of geological boreholes based on photo-acoustic combination measurement[J]. , 2023, 42(3): 649-660.

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http://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2022.0528 OR http://rockmech.whrsm.ac.cn/EN/Y2023/V42/I3/649

[10]	汤友谊. 利用钻孔资料预测矿井未采区煤层瓦斯含量[J]. 煤田地质与勘探，2001，29(5)：23-25.(TANG Youyi. Prediction of coal seam gas content in non mining area of mine by using borehole data[J]. Coalfield Geology and Exploration，2001，29(5)：23-25.(in Chinese))
[6]	YUAN B Y，WANG Q，LU H F. Numerical simulation for shear characteristics of rock-mass structural plane[J]. Advanced Materials Research，2013，734：574-578.
[3]	MALEKI S，FIOROTTO V. Hydraulic brittle fracture in a rock mass[J]. Rock Mechanics and Rock Engineering，2021，54(9)：5 041-5 056.
[13]	HALDORSEN J，JOHNSON D L，PLONA T，et al. Borehole acoustic waves[J]. Oilfield Review，2006，18(1)：34-43.
[11]	WANG J C，WANG C Y，ZHU C Q，et al. Borehole image-based evaluation of coral reef porosity distribution characteristics[J]. Marine Georesources and Geotechnology，2017，35(7)：1 008-1 017.
[1]	HU G. A drawing system for pole diagram and rose diagram of rock mass structural surface[J]. Mobile Information Systems，2021，2021(3)：1-11.
[5]	CHEN Q，YIN T. Integration of homogeneous structural region identification and rock mass quality classification[J]. Royal Society Open Science，2019，6(1)：181353.
[9]	陈学习，吴立新，车德福，等. 基于钻孔数据的含断层地质体三维建模方法[J]. 煤田地质与勘探，2005，33(5)：5-8.(CHEN Xuexi，WU Lixin，CHE Defu，et al. 3D modeling method of geological body with fault based on borehole data[J]. Coalfield Geology and Exploration，2005，33(5)：5-8.(in Chinese))
[15]	REN T，ZHANG F，FENG B，et al. Study on split-type push-back system of new six-arm caliper logging tool and kinematic analysis[J]. Machine Tool and Hydraulics，2019，47(19)：140-144.
[17]	王益腾. 基于钻孔形态的地应力测试方法及地应力场反演研究[博士学位论文][D]. 北京：中国科学院大学，2019.(WANG Yiteng. Research on in-situ stress testing method and in-situ stress field inversion based on borehole morphology[Ph. D. Thesis][D]. Beijing：University of Chinese Academy of Sciences，2019.(in Chinese))
[19]	汪进超，陶东新，黄燕庆，等. 基于超声波合成孔径技术的钻孔成像方法[J]. 岩土力学，2019，40(增1)：557-564.(WANG Jinchao，TAO Dongxin，HUANG Yanqing，et al. Borehole imaging method based on ultrasonic synthetic aperture technology[J]. Rock and Soil Mechanics，2019，40(Supp.1)：557-564.(in Chinese))
[21]	张帅军，汪进超，韩增强. 基于钻孔图像的结构面分布分维数计算方法[J]. 人民长江，2020，51(5)：203-209.(ZHANG Shuaijun，WANG Jinchao，HAN Zengqiang. Calculation method of fractal dimension of structural plane distribution based on borehole image[J]. People?s Yangtze River，2020，51(5)：203-209.(in Chinese))
[22]	张炳文，曹茂永，张维，等. 多摄像头侧视钻孔全景图像拼接[J]. 广西大学学报：自然科学版，2017，42(3)：1 092-1 098.(ZHANG Bingwen，CAO Maoyong，ZHANG Wei，et al. Multi camera side view borehole panoramic image mosaic[J]. Journal of Guangxi University：Natural Science，2017，42(3)：1 092-1 098.(in Chinese))
[4]	RADO SAW W，WALDEMAR K，UKASZ B，et al. Identification of rock mass critical discontinuities while borehole drilling[J]. Energies，2021，14(10)：2 748.
[7]	刘树新，张飞. 三维岩体质量的多重分形评价及分类[J]. 岩土力学，2004，25(7)：1 116-1 121.(LIU Shuxin，ZHANG Fei. Multifractal evaluation and classification of 3D jointed rock mass quality[J]. Rock and Soil Mechanics，2004，25(7)：1 116-1 121.(in Chinese))
[8]	王纪伟，张连震，张庆松，等. 富水裂隙岩体注浆材料适用性现场试验研究[J]. 隧道与地下工程灾害防治，2021，3(1)：58-67.(WANG Jiwei，ZHANG Lianzhen，ZHANG Qingsong，et al. Field experimental study on the applicability of grouting materials in water rich fractured rock mass[J] Tunnel and Underground Engineering Disaster Prevention，2021，3(1)：58-67.(in Chinese))
[16]	王川婴，邹先坚，韩增强. 基于双锥面镜成像的钻孔摄像系统研究[J]. 岩石力学与工程学报，2017，36(9)：2 185-2 193.(WANG Chuanying，ZOU Xianjian，HAN Zengqiang. Research on drilling camera system based on double conical mirror imaging[J]. Chinese Journal of Rock Mechanics and Engineering，2017，36(9)：2 185-2 193. (in Chinese))
[2]	MAAZALLAHI V，MAJDI A. Directional rock mass rating(DRMR) for anisotropic rock mass characterization[J]. Bulletin of Engineering Geology and the Environment，2021，80(6)：4 471-4 499.
[14]	XU J，LIU Q H，HU H，et al. Simulation of borehole acoustic wavefields in fractured media by combining the spectral element method and linear-slip model[J]. Geophysics，2021，86(5)：177-192.
[12]	WANG J C，WANG C Y. Analysis and evaluation of coral reef integrity based on borehole camera technology[J]. Marine Georesources and Geotechnology，2017，35(1)：26-33.
[18]	王川婴，王益腾，韩增强，等. 触头式显微光学孔径变形测量系统研究[J]. 岩石力学与工程学报，2018，37(增2)：4 274-4 282.(WANG Chuanying，WANG Yiteng，HAN Zengqiang，et al. Research on contact type micro optical aperture deformation measurement system[J]. Journal of Rock Mechanics and Engineering，2018，37(Supp.2)：4 274-4 282.(in Chinese))
[20]	WANG J C，XU H H，ZOU J P. Fine detection technology of rock mass structure based on borehole acousto-optic combined measurement[J]. Measurement，2022，187：110259.