A Denoising Method for Seismic Data Based on Wavelet Transform Optimization
A technology of wavelet transform and seismic data, applied in the field of oil and gas seismic exploration, can solve unsatisfactory problems, achieve the effects of suppressing random noise, improving signal-to-noise ratio, and improving fixed deviation
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[0021] In order to improve the quality of seismic data in areas with low signal-to-noise ratio, the noise and effective signals are separated. The method of the invention is adopted to denoise seismic data.
[0022] First input the seismic record f(t) with noise, and then calculate the variance σ of the seismic record i (t), the seismic record variance σ i (t) into the threshold λ, σ is the variance of the seismic record, N is the length of the seismic record; wavelet transform is performed on the seismic noisy record f(t), and the wavelet coefficient W is obtained j,k , where j is the number of wavelet decomposition layers, and k is the kth sample point; for the obtained wavelet coefficient W j,k Perform threshold function processing, the threshold function adopts the newly proposed fractional threshold function, namely:
[0023] in
[0024]
[0025] where λ is the threshold, W j,k is the wavelet coefficient, and finally the processed wavelet coefficient is obtain...
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