节点文献

基于Morlet小波的时频分析方法在地震槽波精准反演煤厚中的应用

Application of time-frequency analysis method based on Morlet wavelet in accurate inversion of coal seam thickness by seismic channel wave

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 郭昌放杨真武祥陈一鼎顾芗

【Author】 GUO Changfang;YANG Zhen;WU Xiang;CHEN Yiding;GU Xiang;Artificial Intelligence Research Institute, China University of Mining and Technology;School of Mines, China University of Mining and Technology;Kunming Coal Science Institute;China Quality Mark Certification Group;

【机构】 中国矿业大学人工智能研究院中国矿业大学矿业工程学院昆明煤炭科学研究所方圆标志认证集团

【摘要】 根据地震槽波在煤层中的传播规律以及Morlet小波的高分辨性,在通过地震槽波对煤矿工作面内的煤厚进行层析反演预测过程中,采用基于Morlet小波的时频分析方法,将地震槽波在煤层中的传播过程以能量流动的形式求取地震波信号的时间-能量谱,并拾取地震槽波的走时。基于拾取的地震槽波走时,运用瞬时迭代重构算法(SIRT)对工作面内的煤厚及地质构造情况进行层析反演计算和解释。该方法在郭二庄煤矿22204工作面应用过程中得到了良好的验证,基于Morlet小波的时频分析方法能够更加精准地拾取地震槽波的透射走时,提高了工作面煤厚预测的精度。

【Abstract】 Based on the propagating law of the seismic channel wave within the coal seam and the high resolution of Morlet wavelet, by taking the propagating process of seismic channel wave in coal seam as the form of energy flow, the time-frequency analysis based on Morlet wavelet was used to calculate the time-energy spectrum of seismic wave signal wave in the process of tomographic inversion prediction of coal seam thickness by seismic channel wave in coal mining face, and the travel time of seismic channel wave was picked up.Based on the travel time of seismic trough wave, the instantaneous iterative reconstruction algorithm(SIRT) was used for tomographic inversion calculation and interpretation of the coal thickness and geological structure in the working face.The method had been well verified in the application process of 22204 working face in Guoerzhuang Coal Mine.The time-frequency analysis method based on Morlet wavelet could more accurately pick up the transmission travel time of seismic channel wave, improve the accuracy of coal thickness prediction in working face.

【基金】 中央高校基本科研业务费项目-青年科技基金(2021QN1062);国家高新技术研究发展计划(863)项目(2012AA062101)
  • 【分类号】P631.4;TD82
  • 【被引频次】2
  • 【下载频次】283
节点文献中: 

本文链接的文献网络图示:

本文的引文网络