何学秋, 王安虎, 窦林名, 宋大钊, 祖自银, 李振雷. 突出危险煤层微震区域动态监测技术[J]. 煤炭学报, 2018, (11). DOI: 10.13225/j.cnki.jccs.2017.1810
引用本文: 何学秋, 王安虎, 窦林名, 宋大钊, 祖自银, 李振雷. 突出危险煤层微震区域动态监测技术[J]. 煤炭学报, 2018, (11). DOI: 10.13225/j.cnki.jccs.2017.1810
HE Xueqiu, WANG Anhu, DOU Linming, SONG Dazhao, ZU Ziyin, LI Zhenlei. Technology of microseismic dynamic monitoring on coal and gas outburst-prone zone[J]. Journal of China Coal Society, 2018, (11). DOI: 10.13225/j.cnki.jccs.2017.1810
Citation: HE Xueqiu, WANG Anhu, DOU Linming, SONG Dazhao, ZU Ziyin, LI Zhenlei. Technology of microseismic dynamic monitoring on coal and gas outburst-prone zone[J]. Journal of China Coal Society, 2018, (11). DOI: 10.13225/j.cnki.jccs.2017.1810

突出危险煤层微震区域动态监测技术

Technology of microseismic dynamic monitoring on coal and gas outburst-prone zone

  • 摘要: 为弥补煤与瓦斯突出区域预测方法抽检、定点式指标存在的弊端,实现煤层突出危险性的区域连续监测,提出了突出危险煤层微震区域动态监测新方法,研究了微震监测技术实现区域监测的理论基础,建立了相应指标评价体系,并在突出矿井进行了应用试验。结果表明:利用微震频次指标、能量指标监测煤层采掘扰动、地质异常具有良好效果,利用震动波CT探测得出的区域应力场分布特征与理论分布相一致。这验证了微震监测技术实现突出危险煤层区域监测的可行性,为煤与瓦斯突出区域监测方法研究提供了新思路,可突破传统区域预测手段在时、空维度上的局限性,实现突出危险煤层区域动态、连续监测。

     

    Abstract: In order to address the shortcomings of sampling check or fixed-point indicators of the conventional regional prediction methods and achieve a continuous monitoring of coal seam outburst risk,a new method for a dynamic pre-diction of microseismic monitoring area in the seams with coal and gas outburst potential is proposed. Accordingly the indicator evaluation system is established,and some application tests have been carried out in coal mines. The results show that the microseismic monitoring frequency indicators and energy indicators satisfactorily monitor coal seam min-ing disturbance and geological abnormal body,and the regional stress field distribution obtained by seismic wave CT detection is consistent with theoretical distribution. This verifies the feasibility of microseismic monitoring technology in the regional monitoring of outburst-prone coal seam. The study breaks the limitations of conventional methods in time and space dimension,and realizes a dynamic and continuous monitoring of coal and gas outburst-prone region.

     

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