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Passive seismic tomography for rockburst risk identification based on adaptive-grid method

机译：基于自适应网格方法的被动地震层析成像在岩爆风险识别中的应用

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摘要

Passive seismic velocity tomography is a promising tool for use in evaluating rockburst risk during underground coal mining, however, the traditional model gridding method will lead to the increase of inversion time and a decrease in inversion accuracy due to the mismatch between seismic data distribution and the chosen grid. We developed an adaptive-grid method to optimise the existing problem. In this proposed gridding method, mesh modes are denser within the tremor concentration area, while model grids are divided sparsely outside the concentration area. Seismic events recorded from Jisan coal mine, Shandong Province, China, are used to establish the inversion model and perform seismic tomography with adaptive gridding, and the inversion results are also compared with those from traditional gridded tomography. Compared with a traditional grid, the proposed model blocks decreased from 76,680 to 7163 (by 90.66%), and corresponding inversion time reduces from 23.88 h to 2.25 h (by 90.58%). A rockburst risk area where the velocity ranges from 5 Km/s to 6 km/s in working panel LW5302 could be determined by traditional and adaptive gridded tomography. There was good agreement between distribution of high-energy tremors in the next mining period and high-velocity areas obtained from adaptive gridding tomography, indicating that the result was accurate. In summary, application of the adaptive mesh scheme can significantly improve inversion efficiency by reducing voxel numbers without sacrificing inversion accuracy.
机译：被动地震速度层析成像技术是评估地下煤矿开采过程中岩爆风险的一种有前途的工具，但是，由于地震数据分布与地震波之间的不匹配，传统的模型网格化方法将导致反演时间的增加和反演精度的降低。选择的网格。我们开发了一种自适应网格方法来优化现有问题。在这种提出的网格化方法中，网格模式在震颤集中区域内更密集，而模型网格在集中区域外稀疏地划分。利用山东省吉三煤矿记录的地震事件建立反演模型，并利用自适应网格进行地震层析成像，并将反演结果与传统网格层析成像进行比较。与传统网格相比，本文提出的模型块从76,680减少到7163（减少了90.66％），相应的反演时间从23.88 h减少到2.25 h（减少了90.58％）。 LW5302工作面板中速度范围从5 Km / s到6 km / s的岩爆危险区域可以通过传统的自适应网格层析成像技术确定。下一个采矿期的高能震颤分布与通过自适应网格层析成像获得的高速区域之间有很好的一致性，表明结果是准确的。综上所述，自适应网格方案的应用可以通过减少体素数量而不牺牲反演精度来显着提高反演效率。

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  • 来源
    《Tunnelling and underground space technology》 |2019年第4期|198-208|共11页
  • 作者

    Gong Si-yuan; Li Jing; Ju Feng; Dou Lin-ming; He Jiang; Tian Xin-yuan;

  • 作者单位

    China Univ Min & Technol, Sch Mines, Lab Mine Earthquake Monitoring & Prevent, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Mines, Lab Mine Earthquake Monitoring & Prevent, Xuzhou 221116, Jiangsu, Peoples R China|Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia;

    China Univ Min & Technol, State Key Lab GeoMech & Deep Underground Engn, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Mines, Lab Mine Earthquake Monitoring & Prevent, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Mines, Lab Mine Earthquake Monitoring & Prevent, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Mines, Lab Mine Earthquake Monitoring & Prevent, Xuzhou 221116, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Coal mining; Rockburst; Passive seismic tomography; Adaptive grid; Inversion efficiency and accuracy;

    机译：煤矿;岩爆;被动地震层析成像;自适应网格;反演效率与精度;

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