CAJ | 학술논문

为探测大震前的微震，保护大型煤矿、油田和矿山等重要设施，急需地震信号的实时处理、自动识别和提取地震初至点等地震数据处理技术。采用了小波变换和信息熵理论相结合的一种具有多分辨率的复杂度参数——小波熵，该参数能够从被淹没环境中清晰地显示出勘探数据中地震波到达所带来的变化。结合实测数据进行了仿真，并对比了单一的小波变换、数字带通滤波器的监测效果，结果表明小波熵参数能够更好地自动识别微震初至点。
위탐측대진전적미진，보호대형매광、유전화광산등중요설시，급수지진신호적실시처리、자동식별화제취지진초지점등지진수거처리기술。채용료소파변환화신식적이론상결합적일충구유다분변솔적복잡도삼수——소파적，해삼수능구종피엄몰배경중청석지현시출감탐수거중지진파도체소대래적변화。결합실측수거진행료방진，병대비료단일적소파변환、수자대통려파기적감측효과，결과표명소파적삼수능구경호지자동식별미진초지점。
In order to detect the micro-seismic before large earthquake, protect the important facilities, such as the large coal, oil, mine and so on. It’s an urgent need for seismic data processing technique, such as real-time process, recognize automatically and extract the submerged seismic onset point. A multi-resolution complexity parameter was acquired based on the wavelet transform and the theory of information entropy, the parameter can clearly shows the change in the exploration data from the arrivals of seismic waves. A simulation was done with the exploration data, Comparison of the monitoring effect of wavelet transform or digital band-pass filter, the results show that the parameter can be very good at the micro seismic onset point for automatic identification.