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基于S-转换的微震事件的高精度波形堆叠定位方法.

Hongpeng Zhao^1,2, Jiulong Cheng^1,2, Grzegorz Lizurek³

¹College of Earth Science and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

Sensors (Basel, Switzerland)

|November 27, 2025

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本研究引入了一种使用斯托克威尔变换 (S-变换) 来定位微地震源的新方法,以提高在噪音条件下的准确性. 改进的技术为地质工程应用提供了卓越的抗噪能力和精确的事件位置.

科学领域:

地质物理学地质物理学
地震学地震学
信号处理信号处理

背景情况:

微观地震源的定位在地质工程中至关重要.
传统的波形堆叠方法在较低的信号噪声比率 (SNR) 中扎.
环境噪音和弱事件能量会降低定位准确度.

研究的目的:

在低SNR条件下增强微地震源定位精度和稳定性.
开发一种耐噪声方法,以准确定位事件.
用真实的地震数据验证拟议的方法.

主要方法:

使用斯托克威尔变换 (S-变换) 进行时间频域转换.
引入频率和时间系数以增强微地震信号能量.
使用特征函数 (CFs) 计算和多重交叉相关堆叠以确定事件位置.

主要成果:

与STA/LTA和信封方法相比,基于S变换的方法显示出更高的抗噪能力.
在不同噪音水平下观察到显著改善的定位精度.
该方法有效地增强了时间频域中的微地震信号能量.

结论:

关键词:

斯托克威尔转换是什么意思函数的特征函数的特性频率和时间系数.地质技术工程地质技术工程微地震源的定位位置.

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拟议的方法提高了在低SNR环境中的微地震定位精度和稳定性.
它为地质工程应用提供了强大的解决方案.
使用真实煤矿地震数据验证的有效性.