基于掘进机被动震源的随掘地震超前探测技术

Seismic-while-excavating advance detection technology based on roadheader passive seismic source

  • 摘要:
    目的 针对煤矿巷道掘进中主动激发受限、探掘不同步导致超前预报连续性不足的问题,提出一种基于掘进机截割振动被动震源的随掘地震超前探测方法,并在赵庄二号井开展工程应用验证。
    方法 构建“井下多道采集−光纤环网传输−地面主站自动处理”系统;以平均绝对振幅阈值与状态指标自动剔除无效片段,采用地震干涉重构虚拟炮集并开展走时约束成像,利用上一周期结果作为初模迭代更新,实现约150 m滚动成像。
    结果 在7条巷道累计监测2434 m,预测异常12处;10处揭露异常定位误差为2~7 m,平均3.7 m;未揭露巷道异常经钻探解释,与断层、陷落柱影响区相符。
    结论 该技术无需额外激发、对生产干扰小,可实现随掘地质异常连续预报与动态更新,可为透明地质与智能化掘进提供支撑。

     

    Abstract: Focusing on the problems of limited active source excitation and insufficient continuity of advance prediction due to the asynchrony between exploration and excavation in coal mine roadway heading, a seismic-while-excavating advance detection method based on the passive seismic source of roadheader cutting vibrations is proposed, and its engineering application is validated in Zhaozhuang No. 2 Mine. A system consisting of "underground multi-channel acquisition−fiber optic ring network transmission−surface master station automatic processing" was constructed. Invalid data segments were automatically eliminated using an average absolute amplitude threshold and state indicators. Seismic interferometry was employed to reconstruct virtual shot gathers, and traveltime-constrained imaging was performed. The result from the previous cycle was used as the initial model for iterative updating, achieving rolling imaging over a distance of approximately 150 m. A total monitoring length of 2434 m was conducted in 7 roadways, and 12 anomalies were predicted. For the 10 anomalies exposed, the positioning errors ranged from 2 to 7 m, with an average of 3.7 m. Anomalies in the unexposed roadway sections were verified by drilling and interpreted to be consistent with fault zones and influence zones of collapse columns. This technology requires no additional active source excitation, causes minimal interference with production, enables continuous prediction and dynamic updating of geological anomalies during excavation, and provides support for transparent geology and intelligent excavation.

     

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