煤炭工程 ›› 2023, Vol. 55 ›› Issue (7): 66-71.doi: 10.11799/ce202307011

• 施工技术 • 上一篇    下一篇

三维弹性波全波形反演在小保当煤矿勘探中的应用研究#br#

刘超,刘鹏,张慧峰,白坤,李志勇,潘文勇   

  1. 1. 陕西小保当矿业有限公司, 陕西 神木 719399 2. 北京中矿大地地球探测工程技术有限公司, 北京 100038 3. 中国科学院地质与地球物理研究所 油气资源研究院重点实验室, 北京 100029

  • 收稿日期:2022-08-23 修回日期:2022-12-15 出版日期:2023-07-20 发布日期:2025-04-07
  • 通讯作者: 李志勇 E-mail:348055678@qq.com

Application of 3D elastic wave full-waveform inversion in Xiaobaodang coal mine exploration

  • Received:2022-08-23 Revised:2022-12-15 Online:2023-07-20 Published:2025-04-07
  • Contact: li zhiyong E-mail:348055678@qq.com

摘要:

高效、安全和智能化的煤矿开采对煤层顶底板以及地下三维地质模型的精度要求越来越高, 传统地球物理探测方法在成像分辨率和精度方面已无法满足实际需求。将三维弹性波全波形反演技术应用于陕西小保当一号煤矿112204 工作面的地下三维地质模型构建, 通过谱元法和GPU超算实现地震波高效和高精度正演模拟, 发展了多尺度、多目标函数和多波的反演方法与技术, 并使用测井先验信息进行正则化约束, 降低反演的非线性和多解性, 最终构建了112204 采煤工作面三维弹性速度结构模型, 对煤层的顶底板进行了高精度成像, 精细刻画了煤层的三维空间展布, 反演结果与测井结果吻合较好, 实现了采煤工作面的透明化。

关键词: 透明地质, 采煤工作面, 三维地质模型, 谱元法, GPU超算

Abstract:

The accuracy requirements of efficient,safe and intelligent coal mining production for the top and bottom interfaces of coal seam and subsurface three-dimensional (3D) geological structures are becoming more and more high. The imaging resolution and accuracy of traditional geophysics detection methods are not able to satisfy the practical requirements. Full-waveform inversion (FWI) technology is able to construct very accurate 3D subsurface geological structures and represents the core technique for overcoming the difficulties in coal mining production. This research applies 3D elastic wave FWI to construct subsurface 3D geological structures for Shanxi Xiaobaodang NO.1 coal mine 112204 coal face. Spectral-element method and GPU technique are used to simulate the wave propagation efficiently and accurately. Multi-scale, multi objective functions and multi-wave inversion methods and technologies are developed. The well-log data is used as prior information for regularization constraints, which helps reduce inversion non-linearity and uncertainty. Finally, 3D subsurface elastic velocity structures of 112204 coal face are obtained. The top and bottom interfaces of coal seam are imaged with high-resolution (0.5 m). 3D spatial distribution of the coal seam is finely characterized and delineated. The inversion results match well with the well-logging data. Based on these results, the objective of transparent coal face is achieved.

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