煤炭工程 ›› 2023, Vol. 55 ›› Issue (10): 136-142.doi: 10.11799/ce202310023

• 研究探讨 • 上一篇    下一篇

探地雷达在煤层异常体探测中的应用

胡荣明,武建强,姚燕子,李少杰   

  1. 1. 西安科技大学 测绘科学与技术学院, 陕西 西安 710054 2. 西安市勘察测绘院, 陕西 西安 710054
  • 收稿日期:2022-11-23 修回日期:2023-01-13 出版日期:2023-10-20 发布日期:2025-04-08
  • 通讯作者: 武建强 E-mail:603147909@qq.com

Image characteristics analysis of FDTD forward simulation of coal seam anomaly

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  • Received:2022-11-23 Revised:2023-01-13 Online:2023-10-20 Published:2025-04-08
  • Contact: Wu JianQiang E-mail:603147909@qq.com

摘要:

为强化煤层异常体的探测识别, 文章利用时域有限差分法(FDTD) 建立了煤层二维空间磁场(TM)模型, 通过正演模拟计算和理论分析, 研究了电磁波在煤层中的传播规律。研究结果表明: 不同形状和不同填充介质的煤层异常体正演模拟结果虽都表现为双曲线, 但双曲线之间存在明显差异, 这些差异可作为识别煤层异常体形状和填充介质的条件; 煤层异常体的埋深和垂直距离可通过双曲线顶点的双程旅行时间来获得, 但断层破碎带和陷落柱异常体的底部反射不明显, 无法准确获得其垂直距离。研究结果可为实际煤层探测数据和信息提取提供参考依据。

关键词: 探地雷达, 煤层异常体探测, 正演模拟, 时域有限差分法

Abstract:

Abstract: The existence of coal seam anomalies in coal mine tunneling has an important impact on the safe mining of coal resources, and carrying out the detection and identification of coal seam anomalies is essential for the treatment of coal seam anomalies. In this paper, to address this problem, a two-dimensional spatial magnetic field (TM) model of coal seam was established by using the finite-difference method in time domain (FDTD), through forward simulation and theoretical analysis, the propagation law of electromagnetic wave in coal seam is studied. The research results show that the forward simulation results of coal seam anomalies with different shapes and different filling media are all hyperbolic, there are obvious differences between the hyperbolas, and these differences can be used as the conditions for identifying the shape of coal seam anomalies and filling media; the burial depth and vertical distance of coal seam anomalies can be obtained by the two-way travel time of the hyperbolic vertex, but the vertical distance of the forward simulation map of the water-bearing anomalies of the laminated coal seam cannot be accurately obtained due to the presence of multiple spurious waves. The results of the study can provide a reference basis for the actual coal seam detection data and information extraction.

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