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廉洁, 李松营, 王伟, 姚小帅, 郭国鹏, 王康. 槽波地震勘探技术在义马矿区的应用[J]. 煤炭科学技术, 2015, (12).
引用本文: 廉洁, 李松营, 王伟, 姚小帅, 郭国鹏, 王康. 槽波地震勘探技术在义马矿区的应用[J]. 煤炭科学技术, 2015, (12).
Lian Jie Li Songying Wang Wei Yao Xiaoshuai Guo Guopeng Wang Kang, . Channel wave seismic exploration technology applied to Yima Mining Area[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (12).
Citation: Lian Jie Li Songying Wang Wei Yao Xiaoshuai Guo Guopeng Wang Kang, . Channel wave seismic exploration technology applied to Yima Mining Area[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (12).

槽波地震勘探技术在义马矿区的应用

Channel wave seismic exploration technology applied to Yima Mining Area

  • 摘要: 为掌握义马矿区煤厚变化大、中小型断层发育、原开采的小煤矿采空区位置等情况,采用槽波地震透射法与反射法对煤厚变化大、中小型断层发育及小煤矿采空区分布等煤层条件下的槽波响应特征进行研究。试验结果表明:将1 900、1 300 m/s的槽波速度等值线分别作为3、5 m煤厚等值线,回采中揭露煤厚与槽波勘探预测基本一致;槽波地震CT叠加剖面图中的强反射震相可预测判定断层位置,经验证此处在回采中揭露1条延展长度约108 m的正断层。槽波地震勘探技术在义马矿区取得较好的应用效果,能准确预测工作面内煤厚变化大、中小型断层发育等地质情况。

     

    Abstract: In order to understand a high varied seam thickness, medium and small fault development, unclear goaf location of the small mine operation and other C onditions in Yima Mining Area, a channel wave seismic transmission method and a reflection method were applied to a study the channel wave response characteristics of the seismic transmission method under the high varied seam thickness, medium and small fault development, goaf distributions in previous small mines and other se am condition. The test results showed that the isoline of channel wave speed of 1 900 m/ s and 1 300 m/ s could be as the isoline of 3 and 5 m seam thickness and th e mining operations showed that the seam thickness and the channel wave exploration prediction were the same basically. The high reflection seismic phase in the CT stack section drawing of the channel wave seismic could be applied to predict and determine a fault location and the verification showed that in the mining operation, th e location exposed a normal fault with a expended length about 108 m. The channel wave exploration technology was applied to Yima Mining Area with a good effect an d could accurately predict the sea thickness variation of the coal mining face, the medium and small fault development and other geological conditions.

     

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