地质学报(英文版)2024,Vol.98Issue(1) :276-284.DOI:10.1111/1755-6724.15108

Application of Gaussian Beam Summation Migration in Reflected In-seam Wave Imaging

HAN Jianguang Lü Qingtian ZHANG Zhiheng YANG Shun WANG Shuo
地质学报(英文版)2024,Vol.98Issue(1) :276-284.DOI:10.1111/1755-6724.15108

Application of Gaussian Beam Summation Migration in Reflected In-seam Wave Imaging

HAN Jianguang 1Lü Qingtian 1ZHANG Zhiheng 2YANG Shun 1WANG Shuo2
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作者信息

  • 1. Chinese Academy of Geological Sciences,Beijing 100037,China
  • 2. Shandong Taishan Resources Exploration Co.,Ltd.,Jinan 250104,China
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Abstract

The geological conditions for coal mining in China are complex,with various structural issues such as faults and collapsed columns seriously compromising the safety of coal mine production.In-seam wave exploration is an effective technique for acquiring detailed information on geological structures in coal seam working faces.However,the existing reflected in-seam wave imaging technique can no longer meet the exploration precision requirements,making it imperative to develop a new reflected in-seam wave imaging technique.This study applies the Gaussian beam summation(GBS)migration method to imaging coal seams'reflected in-seam wave data.Firstly,with regard to the characteristics of the reflected in-seam wave data,methods such as wavefield removal and enveloped superposition are employed for the corresponding wavefield separation,wave train compression and other processing of reflected in-seam waves.Thereafter,imaging is performed using the GBS migration technique.The feasibility and effectiveness of the proposed method for reflected in-seam wave imaging are validated by conducting GBS migration tests on 3D coal-seam fault models with different dip angles and throws.By applying the method to reflected in-seam wave data for an actual coal seam working face,accurate imaging of a fault structure is obtained,thereby validating its practicality.

Key words

reflected in-seam wave/Gaussian beam summation migration/numerical tests/fault

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基金项目

National Natural Science Foundation of China(42174157)

CAGS Research Fund(JKY202216)

Chinese Geological Survey Project(DD20230008)

Chinese Geological Survey Project(DD20233002)

出版年

2024
地质学报(英文版)
中国地质学会

地质学报(英文版)

CSTPCD
影响因子:1.414
ISSN:1000-9515
参考文献量2
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