Tang Shoufeng

Wavelet Basis Function of the Microseismic Signal Analysis

Wavelet transform is an important method in signal processing for microseismic signals, and the wavelet basis function is the key factor that must be considered in the wavelet signal processing. In this chapter, through the analysis of the commonly used wavelet basis function’s properties, spectrogram, and power spectrum diagram, combined with the characteristics of the microseismic signals and wavelet energy spectrum coefficient, we obtained the following wavelet basis functions suitable for microseismic signal analysis: Daubechies, Symlets, and Coiflets wavelet. The wavelet analysis is used according to the above wavelet basis function with a good time-frequency and local analysis ability to lay a good foundation for the microseismic signal’s processing, resulting in the signal’s noise reduction and the feature extraction.

Shape Fitting Remediation of Amplitude Saturation Microseismic Signals

The microseismic signal was the main evaluation basis for the monitored objects. In this chapter, we review a variety of analyses and processing methods for microseismic signals, put forward an effective shape fitting remediation method for the amplitude saturation problem in waveform analysis, and analyze the repairing effect by the spectrum, the intensity map, and the wavelet energy spectrum coefficient. From the above analysis we can conclude that the shape fitting remediation can better repair the amplitude saturation signal. The shape fitting remediation has an important value for obtaining the complete and accurate microseismic waveform characteristics and source information in processing the microseismic signals.