Multi-channel Predictive Deconvolution Method Based on Primary Sparse Constraint

Abstract

The invention belongs to the field of seismic signal processing in seismic exploration technology, and specifically discloses a multi-channel prediction deconvolution method based on primary wave sparse constraints. This method firstly determines the limited support region and corresponding mathematical model of the 2D prediction filter in the multi-channel prediction deconvolution, reduces the number of coefficients of the 2D prediction filter to be solved, and then constructs an optimization problem that imposes sparse constraints on the primary wave, And the fast iterative shrinkage threshold algorithm is used to solve the 2D prediction filter to realize the suppression of multiple waves. Compared with the traditional multi-channel predictive deconvolution method, which needs to estimate all filter coefficients in the filter coefficient space, and impose energy minimization constraints on the primary wave to solve the 2D predictive filter, the method of the present invention can reduce the The number of filter coefficients can effectively balance the protection of primary waves and the suppression of multiple waves, and at the same time reduce the computational complexity of solving optimization problems.

Description

technical field [0001] The invention belongs to the field of seismic signal processing in seismic exploration technology, and in particular relates to a multi-channel prediction deconvolution method based on primary wave sparse constraints. Background technique [0002] In marine seismic exploration, predictive deconvolution is used to remove water layer multiples. The multi-channel prediction deconvolution method can eliminate multiple waves better than the single-channel prediction deconvolution method (M.T.Taner, "Long period sea-floor multiples and their suppression," Geophysical Prospecting, vol.28, no.1, pp .30-48, Feb. 1980.). Multi-channel prediction deconvolution methods use 2D prediction filters to combine multiple channels of raw data to predict multiples. To avoid possible primary impairments, multi-trace predictive deconvolution uses the same 2D predictive filter to simultaneously predict multiples in multiple traces. Therefore, multi-trace prediction deconvo...

AI Technical Summary

Problems solved by technology

However, the traditional multi-channel predictive deconvolution method needs to solve all the filter coefficients in the filter coefficient space, and imposes energy minimization constraints on the primary wave to solve the 2D predictive filter, which cannot effectively balance the protection of the primary wave and the multiple wave suppression

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