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

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

CN109085649BActive Publication Date: 2020-02-28SOUTHWEST PETROLEUM UNIV
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  • A Denoising Method for Seismic Data Based on Wavelet Transform Optimization
  • A Denoising Method for Seismic Data Based on Wavelet Transform Optimization
  • A Denoising Method for Seismic Data Based on Wavelet Transform Optimization

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Embodiment Construction

[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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Abstract

The invention provides an earthquake data denoising method based on wavelet transform optimization. The method aims at the problems that a reconstruction coefficient processed by the traditional threshold function method has a discontinuity at a threshold point, there is always a constant deviation between the reconstruction coefficient and a decomposition coefficient, which seriously affects accuracy of a reconstruction signal, establishes an improved new fractional threshold function and takes the wavelet transform as a core idea to achieve a goal of effectively improving earthquake sectionprocessing effect and determine a new threshold function. Compared with the current similar technology, the earthquake data denoising method based on the wavelet transform optimization has the advantages that denoising result is closer to an original useful signal, the earthquake section processing effect is greatly improved, and signal-to-noise ratio can be improved to a greater extent.

Description

technical field [0001] The patent of the invention belongs to the field of oil and gas seismic exploration, and relates to the design and application of a seismic data denoising method. The method is effective for oil and natural gas seismic exploration in all regions. Background technique [0002] The complex high and steep structural areas in piedmont rich in oil and gas resources have become the focus of current seismic exploration. With the refinement of exploration, noise interference is often very serious in areas with complex structures and low signal-to-noise ratio. If pre-stack records Without denoising processing, it will lead to unclear horizons or unreal structures on the final stacked section, making the quality of seismic data not meet the processing requirements, thus restricting the further improvement of seismic exploration in this area. [0003] The purpose of denoising seismic data is to suppress the noise on the original record as much as possible, but in...

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Application Information

Patent Timeline
28 Feb 2020
Publication
CN109085649B
IPC
G01V1/36
CPC
G01V1/364; G01V2210/324
Inventors
罗仁泽; 李昌隆