分形计盒维数的微震波初至自动识别  

Automatic Identification First Arrival of Microseismic Waves by Fractal Box-counting Dimension

作　　者：董超[1,2,3] 王恩元[1,2] 晋明月[1,2,3] 孙浩博[1,2,3] 王嗣衡[1,2] 

机构地区：[1]煤炭资源与安全开采国家重点实验室,江苏徐州221116 [2]中国矿业大学安全工程学院,江苏徐州221116 [3]煤矿瓦斯与火灾防治教育部重点实验室,江苏徐州221116

出　　处：《煤矿安全》2013年第6期198-201,共4页Safety in Coal Mines

基　　金："十二五"国家科技支撑计划资助项目(2012BAK04B07);教育部新世纪优秀人才支持计划资助项目(NCET-10-0768);煤炭资源与安全开采国家重点实验室自主研究资助项目(SKLCRSM09X01)

摘　　要：微震波初至到时的自动拾取是实现微震震源定位的技术难点,也是微震监测数据处理的关键技术之一。在分形原理和计盒维数的基础上,建立了分形计盒维数模型,对不同类型的微震波初至到时的计盒维数特征进行分析和描述,并针对不同微震波时间序列进行分析和研究,提出了分形计盒维数自动识别微震波初至到时的具体方法,利用分形盒维数法对具有不同噪声信号的微震波初至到时进行了研究,提高了自动拾取结果的准确性。研究结果表明,典型的信噪比高的微震波,到时自动拾取的结果与手工拾取的结果基本一致;信噪比低和到时点不清晰的微震波自动拾取必须先经过小波分析后应用计盒维数法来识别。The automatically picking of microseism first arrival time is not only a technical difficulty of fixing the position of microseism focus, but also the key technology of data processing of microseism monitoring. Based on the fractal theory and box - counting dimension, the fractal box - counting dimension model was built. The box - counting dimension features of different types of mieroseisnfic waves first arrival time was analyzed and described, and a study on tinle series of different microseismic waves was conducted. Then, the specific method on how the fractal box - counting dimension automatically identifies the microseismic wave first arrival time was raised. By using the fractal box - counting dimension method to study microseismic waves with different noise signals, the reliability of automatically picking results was advanced. Study results showed that for typical microseism waves with high SNR （Signal Noise Rati- o）, the automatically picking results were generally same with those by manual. For microseismic waves with low SNR or with ill - defined an：ival point, the automatically picking must be proceeded after wavelet analysis, then used the box - counting dimension method to identify.

关 键 词：微地震 分形 计盒维数 初始到时 拾取 

分 类 号：TD324[矿业工程—矿井建设]