System and method for eliminating random noise in seismic signals

Abstract

The present invention provides a system and a method for eliminating the random noise in seismic signals, which comprises a curvelet transformation unit, a threshold optimization unit, a threshold de-noising unit, a filter design unit, a spectral whitening processing unit, and a curvelet inverse-transformation unit. The curvelet transformation unit is used for reading original seismic signal data, and obtaining first frequency sub-bands and second frequency sub-bands in various scales and all directions within a curvelet domain through decomposing the data based on the wavelet transformation process. The threshold optimization unit is used for determining the threshold values of curvelet coefficients in various scales and all directions, and obtaining an optimized threshold based on the genetic algorithm, wherein the optimized threshold is set in such a manner that the risk assessment function of the generalized cross validation criteria has a minimum value. The threshold de-noising unit is used for conducting the threshold de-noising treatment on the first and second frequency sub-bands obtained through the decomposing process. The filter design unit is used for designing different self-adaptive spectral whitening filters. The spectral whitening processing unit is used for conducting the spectral whitening treatment on effective signals of the first frequency sub-bands and the second frequency sub-bands in various scales and all directions. The curvelet inverse-transformation unit is used for reconstructing the signals through the curvelet inverse-transformation process to obtain de-noised seismic signal data of higher resolution.

Description

technical field [0001] The invention relates to the technical field of seismic signal denoising, in particular to a system and method for eliminating random noise in seismic signals. Background technique [0002] As the main energy source in today's society, oil and gas resources continue to promote human progress, and people's growing demand for oil and gas energy puts forward higher requirements for oil and gas exploration. However, with the continuous deepening of exploration, the difficulty of exploration is also increasing, mainly reflected in the exploration of hidden oil and gas reservoirs with complex structures and difficult to identify seismic profile features. Therefore, the signal is denoised and the resolution of seismic data is improved. It is of great significance to the exploration and development of subtle oil and gas reservoirs with small area but capable of increasing reserves and production. [0003] Aiming at the problem of improving the resolution of s...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing techniques for improving the resolution of seismic data cannot eliminate the random noise in the seismic signal, it is necessary to provide a system and method for eliminating the random noise in the seismic signal

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