In-well micro-seismic noise elimination method based on experience wavelet transformation and various threshold functions
An empirical wavelet, microseismic technology, applied in seismology, seismic signal processing, geophysical survey, etc., can solve problems such as poor performance
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[0070] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.
[0071] Such as figure 1 As shown, the microseismic denoising method in the well based on empirical wavelet transform and multi-threshold function provided by the present invention includes:
[0072] Step 1, calculate the fast Fourier transform of the measured seismic wave signal f(t), obtain the frequency spectrum F(ω) of the measured signal;
[0073] Step 2. Separate the spectrum appropriately, and set the boundary as Ω={ω K} k=1,2,···K , assuming that the spectrum is divided into K consecutive parts in [0,π]:
[0074] The spectral segmentation method is an important step, which provides a theoretical support for the EWT adaptive analysis signal. There are four spectrum segmentation methods in EWT, namely 'locmax', 'localmaxmin', localmaxminf' and 'adaptive'. The adapti...
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