Seismic data multiple elimination method

Abstract

The invention discloses a seismic data multiple elimination method. The method comprises the following steps: S1, inputting three-dimensional data d(offx,t), and according to three-dimensional space coordinate information, extracting channel sets as three-dimensional surface element channel sets dbin(y,x,t); S2, calculating nonlinear trend fitting coefficients p(x) and p(y), writing out conversionoperators Lx, Ly and Lxy, and calculating Radon domain data M; S3, cutting the Radon domain data to obtain a multiple model mra, and performing calculation and conversion to obtain a time-space domain multiple model; S4, performing subtraction to obtain three-dimensional surface element channel sets p after multiple elimination; and S5, sequentially arranging the channel sets according to scalaroffsets to obtain three-dimensional data after multiple elimination. The high-frequency calculation is restrained through a low-frequency result; the low-frequency result does not generate an alias frequency in operation, so that a relatively good high-resolution effect still can be achieved under the condition of sampling sparseness; and meanwhile, the process of improving the resolution by a conventional iterative method is avoided, so that the calculation efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of seismic signal processing for exploration, in particular to a seismic data multiple wave suppression method. Background technique [0002] During the acquisition of marine seismic data, due to the influence of the strong reflection coefficient of the seawater surface, there will be strong multiple waves in the marine seismic data; the existence of multiple waves seriously affects the velocity analysis and imaging of seismic data; how to effectively remove multiple waves is An important research content in seismic data processing. [0003] Radon transform is one of the most commonly used effective methods for multiple wave suppression in the industry, and it is also widely used in seismic data reconstruction, wave field separation, velocity analysis, etc. The two-dimensional Radon transform algorithm does not consider the three-dimensional effect of seismic wave propagation. The conventional three-dimensional Radon...

AI Technical Summary

Problems solved by technology

The two-dimensional Radon transform algorithm does not consider the three-dimensional effect of seismic wave propagation. The conventional three-dimensional Radon transform algorithm does not consider the anisotropy of formation properties, and the resolution is low. In addition, the conventional Radon transform is only superposition and summation along a specific path, and does not Consider the lateral amplitude change, so there is also the problem of not maintaining the amplitude

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