Ground array type micro seismic data independent component separation denoising method
A technology of seismic data and independent components, applied in seismic signal processing and other directions, can solve the problem of low signal-to-noise ratio and achieve the effect of improving signal-to-noise ratio
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Embodiment 1
[0022] Example 1. A method for separating and denoising independent components of ground array microseismic data, comprising the following steps:
[0023] (1) According to the principle of similarity of microseismic data, the similarity grouping processing of ground array microseismic data is carried out and imported at the same time. The microseismic data similarity is the similarity of the waveforms in the time domain and frequency domain of the microseismic signal.
[0024] (2) De-DC component processing and whitening processing are performed on the microseismic data respectively, so as to realize the second-order statistical independence of the microseismic effective signal component and the microseismic noise component in the ground array microseismic data.
[0025] (3) Negative entropy is used as the independent judgment condition of microseismic effective signal component and microseismic noise component, and the Newton iteration method is used to optimize the solution...
Embodiment 2
[0028] Example 2. like figure 1 shown, figure 1 This is a flowchart of the method for separating and denoising independent components of ground array microseismic data in this embodiment.
[0029] In step 101, according to the characteristics of the ground array type microseismic monitoring and observation system and the microseismic data, first, all monitoring geophone tracks are divided into central monitoring geophone tracks and surrounding geophone tracks; secondly, a central monitoring geophone track is determined, According to the principle of similarity of microseismic data, compare all surrounding monitoring geophone traces with the determined central monitoring geophone trace in one-to-one correspondence. If the surrounding monitoring geophone trace and the determined central monitoring geophone trace satisfy the similarity If the range conditions are met, the surrounding monitoring geophone traces and the determined central monitoring geophone traces are grouped in...
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