img

Wechat

  • CN 62-1112/TF 
  • ISSN 1005-2518 
  • Founded in 1988
Adv. Search

Application Research of TRT Technology in the Detection of Goaf in an Underground Mine

  • Feng GAO ,
  • Yindong HE ,
  • Xin LI
Expand
  • School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China

Received date: 2021-08-14

  Revised date: 2022-03-11

  Online published: 2022-09-14

Abstract

Geological disasters such as collapse of tunnel roof or wall and water inrush seriously threaten the life and property safety in the underground mine.It is particularly important to predict the geological conditions ahead before excavation.Based on advanced prediction,the discontinuous structures such as broken zones,weak interlayers and goafs can be found in time. Then, the geological disasters can be greatly reduced under effective measures,which is of great significance to the safe,economic and efficient mining of mines.It is discovered that the No.5 stope in the deep granite porphyry area of an underground gold-copper mine collapsed with a suspected goaf,which caused great potential safety hazards to subsequent production.Tunnel Reflection Tomography (TRT) technology,as a medium and long-distance advanced prediction technology,has the advantages of low-loss materials,convenient operation,safety and stability,and it is currently being gradually promoted and used in mines.In this paper,the TRT6000 system was applied to complex empty areas detection of this gold-copper mine,including 6 detection points distributed in 3 middle sections.Furthermore,a space three-dimensional model was established to make up for the lack of demonstration and observation of the imaging results of the TRT system.By comparing the results obtained from the interpretation of the TRT with the drilling results available,it can be found that the area covered by the borehole is basically consistent with the results of the advanced prediction of the TRT.The established three-dimensional space model intuitively reflects the distribution range of problem area such as broken zone and mined-out area,so that mine producers can have a clearer understanding of the specific situation.The TRT prediction results are basically consistent with the detection drilling results,which proves the feasibility of TRT advanced geological prediction technology in underground mines.The three-dimensional model is innovatively established to visually demonstrate and observe the TRT interpretation results,and achieved a good result.It provides ideas and directions for the visualization of TRT results interpretation.

Cite this article

Feng GAO , Yindong HE , Xin LI . Application Research of TRT Technology in the Detection of Goaf in an Underground Mine[J]. Gold Science and Technology, 2022 , 30(3) : 333 -342 . DOI: 10.11872/j.issn.1005-2518.2022.03.115

References

null Ashida Y, Matsuoka T, Watanabe T,et al,2002.Seismic imaging ahead of tunnel face with three component geophones[C]//SEG.Expanded Abstract of the 72nd SEG Annual Meeting.Salt Lake City:SEG: 5-2.
null Bai Mingzhou, Tian Gang, Wang Chengliang,et al,2016.The three-dimensional imaging technology and its improvement for geological structure based on the TRT system[J].Chinese Journal of Geophysics,59(7):2684-2693.
null Fan Xiaofei, Chen Jian, Yue Zhipeng,et al,2019.Advanced geological prediction and inspection in the construction of metal mine roadway based on TRT system:An example from Xulou iron mine[J].China Mining Magazine,28(2):80-85.
null Gao Feng, Zhou Keping, Zhou Bingren,et al,2014.Advanced geology predication in underground mine based on TRT technology[J].China Safety Science Journal,24(4):80-85.
null Hu Jianhua, Zhao Chenye, Tian Weigang,2016.Ahead geological forecast in drift based on TRT seismic reflection imaging[J].Gold Science and Technology,24(5):80-85.
null Li Shucai, Liu Bin, Sun Huaifeng,et al,2014.State of art and trends of advanced geological prediction in tunnel construction[J].Chinese Journal of Rock Mechanics and Engineering,33(6):1090-1113.
null Liu Jie, Liao Chunmu,2011.Application of TRT technology in tunnel geological prediction[J].Railway Engineering,(4):77-79.
null Liu Y F, Wang Y H, Ma H T,2011.Research on tomography by using seismic reflection wave in laneway[J].Procedia Engineering,55(42):2360-2368.
null Liu Zhaoyong, Yang Wei, Wang Yilei,2016.TRT seismic wave 3D imaging technology application in advance geological forecast in tunnel construction[J].Urban Geotechnical In-vestigation & Surveying,(5):167-170.
null Neil D M, Nishioka K,2002.Tomograph imaging using seismic reflection from a 6.5-m TBM in Japan[C]//Levent Ozde-mir.North American Tunneling.Netherlands:Balkema.
null Otto R, Button E, Bretterebner H,2002.The application of TRT (true reflection tomography) at the Unterwald Tunnel[J].Geophsics,67(2):51-56.
null Paul A,1997.Hydrophone VSP imaging as a shallow sit[J].Geophysics,62(3):842.
null Peng Yan, Fang Hui, Qinyin Lü,2020.Comparative analysis of tunnel reflection wave tomography forward and inverse simulation and TRT inversion[J].Modern Tunnelling Technology,57(1):105-114.
null Qiang Jianke, Li Junying, Lu Kai,et al,2018.Research on microgravity anomaly in well environment[J].Progress in Geophysics,33(6):1-10.
null Sun Tianxue, Chen Zunyi, Hao Jinxi,et al,2013.Discussion on the application of true reflection tomography for geological prediction in mines[J].Geology and Resources,22(3):238-242.
null Wang Huazhong, Feng Bo, Wang Xiongwen,et al,2015.Analysis of seismic inversion imaging and its technical core issues[J].Geophysical Prospecting for Petroleum,54(2):115-125,141.
null Wang Lei, He Xiaowu,2020.Application of comprehensive advanced detection technology in the mining of top water-bearing pond and subsidence area[J].Nonferrous Metals(Mining Section),72(5):118-125.
null Wang Li,2021.Review of research on advanced detection and imaging technology of geological environment[J].Coal Technology,40(6):83-85.
null Wu Xinglong, Shi Zonghu,2016.Application and analysis of radioactivity measurement methods in geological exploration[J].China High-Tech Enterprises,(23):151-152.
null Wu Yong, Wu Fengshou, Hua Xiaoming,et al,2013.Application of TRT method in advance geological prediction of tunnels[J].Technology of Highway and Transport,(5):108-110.
null Xiao Kuanhuai,2012.Tunnel Advanced Prediction Geophysical Method and Application Research[D].Chengdu:Chengdu University of Technology.
null Yang Gang, Sun Jian, Wang Xu,et al,2020.Application research of TRT advanced geological prediction method in TBM tunnel[J].Yunnan Water Power,36(2):75-80.
null Zhang Kaiwei, Yuan Pengju, Ma Qingzhou,et al,2018.Application of high density resistivity method in the bauxite deposit in the goaf area[J].Soil Engineering and Foundation,32(1):99-102.
null Zhao Leilei,2021.Study on goaf exploration based on transient electromagnetic method[J].Jiangxi Coal Science & Technology,(2):128-130.
null 白明洲,田岗,王成亮,等,2016.基于TRT系统的地质构造三维成像技术及其改进方法[J].地球物理学报,59(7):2684-2693.
null 范晓飞,陈剑,岳志朋,等,2019.基于TRT系统的金属矿山巷道施工超前地质预报:以安徽徐楼铁矿为例[J].中国矿业,28(2):80-85.
null 高峰,周科平,周炳仁,等,2014.基于TRT技术的矿山井下地质超前预报[J].中国安全科学学报,24(4):80-85.
null 胡建华,赵晨烨,田维刚,2016.基于TRT地震波反射成像的巷道超前地质预报[J].黄金科学技术,24(5):80-85.
null 李术才,刘斌,孙怀凤,等,2014.隧道施工超前地质预报研究现状及发展趋势[J].岩石力学与工程学报,33(6):1090-1113.
null 刘杰,廖春木,2011.TRT技术在隧道地质超前预报中的应用[J].铁道建筑,(4):77-79.
null 刘兆勇,杨威,王羿磊,2016.TRT地震波三维成像技术在隧道施工地质超前预报中的应用[J].城市勘测,(5):167-170.
null 彭炎,方慧,吕琴音,2020.隧道反射波层析成像正反演模拟与TRT反演的对比分析[J].现代隧道技术,57(1):105-114.
null 强建科,李俊营,鲁凯,等,2018.井巷环境下微重力异常研究[J].地球物理学进展,33(6):1-10.
null 孙天学,陈遵义,郝进喜,等,2013.TRT地质超前预报技术在矿山中的应用探讨[J].地质与资源,22(3):238-242.
null 王华忠,冯波,王雄文, 等,2015.地震波反演成像方法与技术核心问题分析[J].石油物探,54(2):115-125,141.
null 王雷,何晓武,2020.综合超前探测技术在顶部含水塘和塌陷区矿山开采中的应用[J].有色金属(矿山部分),72(5):118-125.
null 王力,2021.地质环境超前探测与成像技术研究综述[J].煤炭技术,40(6):83-85.
null 吴勇,吴丰收,花晓鸣,等,2013.TRT法在隧道超前地质预报中的应用[J].公路交通技术,(5):108-110.
null 武兴隆,石宗户,2016.地质勘查放射性测量方法的应用探析[J].中国高新技术企业,(23):151-152.
null 肖宽怀,2012.隧道超前预报地球物理方法及应用研究[D].成都:成都理工大学.
null 杨刚,孙健,汪旭,等,2020.TRT超前预报技术在TBM施工隧洞中的应用研究[J].云南水力发电,36(2):75-80.
null 张开伟,袁鹏举,马清洲,等,2018.金属矿采空区勘查中高密度电法的应用分析[J].土工基础,32(1):99-102.
null 赵磊磊,2021.基于瞬变电磁法的采空区探测研究[J].江西煤炭科技,(2):128-130.
Outlines

/