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利用多波多分量地震技术超前探测隐伏小断层

Detecting concealed small faults in advance by using multi-wave and multi-component seismic technology
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摘要 针对矿井掘进工作面前方隐伏小断层规模小、隐蔽性强、勘查难度大的特点,提出采用基于多波多分量地震理论的超前探测技术探查隐伏小断层的空间分布。在韩城矿区象山矿井某掘进巷道开展了多波多分量地震技术的超前探测试验,研究结果表明,隐伏小断层在P波、SH波和SV波反射界面图上均表现为以负反射开始,正反射结束的响应特征,利用多波多分量地震技术可以有效探测隐伏小断层的分布位置和规模。此外,多波多分量地震技术探测信息丰富,可以获得相互独立的P波、SH波和SV波的探测结果,在地质解释过程中,P波、SH波和SV波的探测结果可以相互补充,相互验证,大大提高探测的准确度。 In view of the characteristics of small scale,strong concealment and difficult exploration of concealed small faults in front of mine heading face,the advanced detection technology based on multi-wave and multi-component seismic theory is proposed to explore the spatial distribution of concealed small faults.The advanced detection test of multi-wave and multi-component seismic technology was carried out in a heading face of Xiangshan mine in Hancheng mining area.The results show that the P wave,SH wave and SV wave reflection interface maps of concealed small faults show the response characteristics of negative reflection beginning and positive reflection ending,which indicates that the multi-wave and multi-component seismic technology can effectively detect the distribution location and scale of concealed small faults.In addition,multi-wave and multi-component seismic technology has rich detection information,and can obtain independent detection results of P wave,SH wave and SV wave.In the process of geological interpretation,the detection results of P wave,SH wave and SV wave can complement and verify each other,greatly improving the accuracy of detection.
作者 罗寿涛 唐申强 郭璐 LUO Shoutao;TANG Shenqiang;GUO Lu(Geological Survey Department,Hancheng Mining Co.,Ltd.,Hancheng 715400,China;China Coal Technology and Engineering Group Chongqing Research Institute,Chongqing 400039,China;Xiangshan Coal Mine,Hancheng Mining Co.,Ltd.,Hancheng 715400,China)
出处 《陕西煤炭》 2021年第4期77-79,120,共4页 Shaanxi Coal
基金 陕西煤业化工集团有限责任公司科学技术研究计划项目(2020SMHKJ-B-J-20)。
关键词 多波多分量 P波 SH波 SV波 超前探测 隐伏小断层 multi-wave and multi-component P wave SH wave SV wave advanced detection concealed small fault
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