Vector denoising method for multicomponent seismic data
Abstract:
The present disclosure provides a vector denoising method for the multicomponent seismic data, including: obtaining a wave vector of the multicomponent seismic data; calculating a first mean wave vector for the multicomponent seismic data by applying a first moving window, performing a median filtering for the first mean wave vector to obtain a true modulus of the ground roll, subtracting the wave vector of the ground roll from the multicomponent seismic data to obtain a vector time-series; performing a mean filtering for the vector time-series by using a second moving window to obtain a second mean wave vector, performing a median filtering and performing a median the median filtering within the same receiving line for the second mean wave vector to suppress the wave vector of the random noise in the vector time-series, thereby obtaining a wave vector of a purified effective signal.
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