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郭来功, 戴广龙, 杨本才, 欧阳名三. 基于面波的巷道揭煤超前探测试验研究[J]. 煤炭科学技术, 2017, (6).
引用本文: 郭来功, 戴广龙, 杨本才, 欧阳名三. 基于面波的巷道揭煤超前探测试验研究[J]. 煤炭科学技术, 2017, (6).
Guo Laigong Dai Guanglong Yang Bencai Ouyang Mingsan, . Experimental study on advanced detection in uncovering coal tunnel based on tunnel surface wave[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (6).
Citation: Guo Laigong Dai Guanglong Yang Bencai Ouyang Mingsan, . Experimental study on advanced detection in uncovering coal tunnel based on tunnel surface wave[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (6).

基于面波的巷道揭煤超前探测试验研究

Experimental study on advanced detection in uncovering coal tunnel based on tunnel surface wave

  • 摘要: 为实现对揭煤巷道前方煤层界面的探测,研究面波在巷道中的速度变化,以潘二煤矿为例,利用面波具有能量强,S波遇不连续界面反射的特点,开展了地震波超前探测的试验研究。通过分析巷道面波在巷道中的传播特征和对激发震源的要求,使用可控震源激发巷道面波、微震监测系统连续记录;利用面波在巷道中的走时,应用直达波和反射波的时间差计算巷道面波和S波速度,实现掘进工作面与煤层距离的计算。试验结果表明:地震波超前探测法可以准确探测巷道掘进工作面与煤层界面的距离,与钻探距离相比,测量误差不超过0.5 m,可为石门揭煤前地质构造探测提供一种新途径。

     

    Abstract: In order to realize the detection of the coal seam in front of heading face, and research on the velocity change of tunnel surface wave in roadway, the aut hors chosen Paner Mine as the tested mine, took advantage of the characteristics which surface wave carry strong energy and S wave reflection in discontinuous interf ace, carried out a seismic wave advanced detection experiment.The author analyzed the propagation characteristics of surface wave and the requirement of source, an d used vibroseis to generated tunnel surface wave in uncovering coal tunnel, monitoring of wave velocity continuously. The use of tunnel surface wave travel time, and t ime difference between direct and reflected waves, to calculate the velocity of S wave and tunnel surface wave, thereby, we could measure the distance between the tu nnel face and the coal seam. The results showed that the tunnel surface wave advanced detection could detect the distance between heading face and coal seam accur ately, the measurement error was not more than 0.5 m compared with the drilling; it could be expected to provide a new way of geologic structure detection in rock cros s cut coal uncovering.

     

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