Seismic data denoising method based on contourlet transformation

A technology of contourlet transformation and seismic data, applied in image data processing, instruments, calculations, etc., can solve problems such as damage, achieve the effect of improving fidelity and suppressing noise

Inactive Publication Date: 2014-10-01
YANGTZE UNIVERSITY
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Problems solved by technology

[0006] In order to overcome the deficiencies in the prior art, the object of the present invention is to provide a method for denoising seismic data based on contourlet transform, which applies contourlet transform to seismic data processing, and overcomes the problems of wavelet transform, curvelet transform and other methods in removing noise. The disadvantage of causing damage to useful signals at the same time improves the fidelity of seismic data

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[0031] The concrete steps of the present invention in this example are as follows:

[0032] Step 101: read the seismic data in the file, and perform Laplacian pyramid decomposition on the seismic data to obtain the low-frequency subbands of seismic signals at various scales and the high-frequency subbands representing stratum details.

[0033] First call the self-compiled function program for reading data files, read the file header of seismic data, and get 512 channels of seismic data and 512 sampling points for each channel; then perform Lapla on the seismic data Decomposition of the pyramid.

[0034] When performing Laplacian pyramid decomposition, firstly, the original seismic signal is low-pass filtered with a low-pass filter, and then the low-frequency signal is obtained by down-sampling, that is, the approximate component a of the original seismic signal is obtained; then the low-frequency signal is up-sampled. Sampling such that this approximate component is of equal ...

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Abstract

The invention relates to a seismic data denoising method based on contourlet transformation. The seismic data denoising method is characterized by comprising the following steps that firstly, seismic data are read, and Laplacian pyramid decomposing is conducted; secondly, high-frequency sub-bands of all dimensions are obtained through the Laplacian pyramid decomposing and are input into directional filter banks, and components of the high-frequency sub-bands of all dimensions in all directions are obtained; thirdly, a noise model is selected according to features of noise in seismic signals, pyramidal direction filter bank decomposing is conducted on the model, a threshold value is obtained, and the threshold value is used for conducting filtering on the components of the high-frequency sub-bands of all dimensions in all directions; fourthly, pyramidal direction filter bank inverse transformation is conducted on the components of the filtered high-frequency sub-bands of all dimensions in all directions, and denoised seismic signals are obtained. According to the seismic data denoising method based on contourlet transformation, contourlet transformation is applied to seismic data processing, the defect that useful signals are damaged while denoising is conducted through methods of wavelet transformation, curvelet transformation and the like is overcome, the fidelity of the seismic data is improved, noise is suppressed, and effective information is extracted.

Description

Technical field: [0001] The invention relates to a seismic data denoising method based on contourlet transformation, which belongs to the technical field of seismic data processing in petroleum seismic exploration. Background technique: [0002] With the continuous development of science and technology, the strategic position of petroleum is becoming more and more important. High-density seismic technology is one of the rapidly developing geophysical prospecting technologies at home and abroad, and is widely used in the exploration of petroleum resources. However, with the increasing complexity of underground geological structures, oil and gas exploration is becoming more and more difficult, and the quality requirements for seismic data processing are also getting higher and higher. [0003] In the early days, the traditional wavelet transform has been an important means in the field of image denoising and even in the wider field of image processing. However, the image sig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 谢凯骆正一李先苦姚恒星
Owner YANGTZE UNIVERSITY
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