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A Small-Scale Threshold Denoising Method Based on Wavelet Transform

A technique of threshold denoising and wavelet transform, applied in the field of small-scale threshold denoising based on wavelet transform, which can solve problems such as loose interpretation

Active Publication Date: 2016-12-21
CHINA PETROLEUM & CHEM CORP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] The inner product in (4) is often loosely interpreted as convolution

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  • A Small-Scale Threshold Denoising Method Based on Wavelet Transform
  • A Small-Scale Threshold Denoising Method Based on Wavelet Transform
  • A Small-Scale Threshold Denoising Method Based on Wavelet Transform

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Embodiment Construction

[0057] The present invention is further described below in conjunction with embodiment. The scope of the present invention is not limited by these examples, and the scope of the present invention is set forth in the claims.

[0058] Such as figure 1 It is a flow chart of wavelet transform small-scale threshold denoising, which shows the implementation process of this method technology. Specific detailed implementation steps:

[0059] The specific implementation steps of denoising are as follows:

[0060] Let the collected noisy seismic signal be s i (t), N channels, M sampling points, the sampling rate is 1ms, where i is the number of channels, and t is the time. Take a time window with a size of L×M, and calculate the correlation coefficient cor(s) of the data in the L channel L (t)), assuming that δ is the critical correlation coefficient whether it is signal-based or noise-based, as in Equation 4, then

[0061]

[0062] The signal-based seismic trace adopts the fre...

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Abstract

The invention belongs to the technical field of digital signal processing such as seismic exploration data processing, and in particular relates to a small-scale threshold value denoising method based on wavelet transform, which provides a theoretical basis for how to select a frequency division number and select a suitable wavelet threshold value during wavelet transform denoising. First, the seismic data is scanned on a small scale to obtain the correlation coefficient value in a time window; secondly, a threshold is set to judge whether the data in the small-scale time window are mainly seismic signals or noise signals. Then use the appropriate frequency division number and appropriate wavelet threshold to denoise. When the seismic trace is dominated by seismic signals, conventional wavelet decomposition and conventional hard threshold or soft threshold are used; when the seismic trace is dominated by noise, after the seismic signal is decomposed by wavelet packets, the following floating parameters are set using the principle of optimal entropy threshold method. Finally, wavelet reconstruction is performed on the denoised wavelet scale to obtain a seismic gather with a high signal-to-noise ratio after denoising.

Description

technical field [0001] The invention relates to the technical field of digital signal processing such as seismic exploration data processing, and in particular to a small-scale threshold denoising method based on wavelet transform. Background technique [0002] Random noise is a type of noise that is difficult to eliminate in seismic exploration. The main conventional methods for removing random noise include band-pass filtering, median filtering, F-X deconvolution, and conventional wavelet thresholding. These methods have a good effect on removing random noise, but they all have the problem of unclean noise removal or damage to effective waves to varying degrees. [0003] Wavelet transform threshold denoising method Denoising technology is widely used in seismic signal processing because of its relatively simple algorithm theory, convenient implementation and good denoising effect. In conventional wavelet threshold denoising processing, a fixed frequency division number i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36
Inventor 谢金娥刘志成贾春梅
Owner CHINA PETROLEUM & CHEM CORP