Research progress of seismic-while-mining detection technology in coal face: An case study in 12701 working face in Guizhou Yanjiao Coal Mine

被引:0
|
作者
Wang B. [1 ,2 ]
Cheng J. [1 ,2 ]
Cui W. [1 ,2 ]
Wang Y. [1 ,2 ]
Jin D. [1 ,2 ]
Zhang H. [1 ,2 ]
机构
[1] Xi'an Research Institute of China Coal Technology and Engineering Group Corp., Xi'an
[2] College of Geology and Environment, Xi'an University of Science and Technology, Xi'an
关键词
Intelligent mining; Seismic interference; Seismic-while-mining; Stress monitoring; Transparent working face;
D O I
10.13225/j.cnki.jccs.2020.0956
中图分类号
学科分类号
摘要
With the development of coal mine from automatic mining to intelligent mining, coal geological support system is entering a new stage of accurate intelligent detection.In recent ten years, the technology of mine trough wave seismic exploration has achieved remarkable results in the detection of hidden disaster causing bodies such as faults, thin coal belts and collapse columns in the coal seam during the coal mining stage.However, there are still some problems in the application process of trough wave seismic detection technology: the application of explosive source is limited, the construction has a certain impact on coal mine production activities, consistent static detection can not realize the monitoring of coal and rock dynamic disasters.With the shearer as the seismic source, the mining seismic detection technology can realize the high-precision detection of static geological structure and the monitoring and early warning of mining dynamic disasters in the coal mining face, and provide data support for the geological transparency and mining intelligence of the coal mining face.This technology has gradually become the research hotspot of coal mine seismic exploration.Taking the test of mining while seismic detection technology in 12701 intelligent working face of Yanjiao coal mine in Guizhou Province as an example, the latest research progress of mining while seismic technology in acquisition system equipment, acquisition scheme, acquisition software and processing software architecture design, data processing method and processing flowchart are introduced, and the detection results are discussed and analyzed.These results show that: ① According to the interference records obtained, the shearer cutting vibration is suitable as the source of the mining earthquake, which can obtain the virtual shot collection records with high signal-to-noise ratio; ② the designed seismic acquisition system, observation system, acquisition and processing software architecture and seismic data processing flow are reasonable and feasible, which can meet the requirements of real-time, automatic and large amount of data ③ along with the mining earthquake, it can detect the static structure and dynamic stress changes in the working face, and provide data and technical support for the dynamic geological modeling of the future working face and the monitoring and early warning of coal and rock dynamic disasters in the mining process. © 2021, Editorial Office of Journal of China Coal Society. All right reserved.
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页码:406 / 413
页数:7
相关论文
共 43 条
  • [1] ZHANG Pingsong, LIU Shengdong, Character appearance of fault structure in seism ic wave CT inversion form in work faces detecting, Journal of China Coal Society, 31, 1, pp. 35-39, (2006)
  • [2] LI Gang, Detection technique of transmission in-seam wave for concealed fault in working face of underground coal mine, Coal Geology & Exploration, 44, 5, pp. 142-145, (2016)
  • [3] WANG Wei, GAO Xing, LI Songying, Et al., Channel wave tomography method and its application in coal mine exploration: An example from Henan Yima Mining Area, Chinese Journal of Geophysics, 55, 3, pp. 1054-1062, (2012)
  • [4] ZHU Mengbo, CHNEG Jianyuan, CUI Weixiong, Et al., Comprehensive prediction of coal seam thickness by using in-seam seismic surveys and Bayesian kriging, Acta Geophysica, 67, 3, pp. 825-836, (2019)
  • [5] FENG Lei, DU Yanyan, LI Songying, Et al., Resolution analysis of in-seam seismic tomographic inversion for coal thickness, Progress in Geophysics, 33, 1, pp. 197-203, (2018)
  • [6] LI Songying, LIAN Jie, TENG Jiwen, Et al., Interpretation technology of coal seam thickness in mining face by ISS transmission method, Journal of China Coal Society, 42, 3, pp. 719-725, (2017)
  • [7] WANG Ji, LI Jianzheng, WU Hai, Et al., Tomography of transmission in-seam wave attenuation coefficient and detection of collapse columns, Coal Science and Technology, 43, 1, pp. 108-111, (2015)
  • [8] JI Guangzhong, CHENG Jianyuan, HU Jiwu, Et al., In-seam wave imaging using attenuation coefficient: Method and application, Journal of China Coal Society, 39, pp. 471-475, (2014)
  • [9] WANG Ji, LI Gang, WU Guoqing, Et al., Transmitted channel wave detecting technology of geologic anomalous body in coal mining face, Coal Science and Technology, 44, 6, pp. 159-163, (2016)
  • [10] JIN Dan, Scattering seismic imaging of channel wave based on time-window energy ratio, Safety in Coal Mines, 50, 7, pp. 234-237, (2019)