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Method and device for denoising seismic data based on curvelet transform and clustering

A technology of curvelet transform and seismic data, applied in the field of signal processing, can solve problems such as inability to guarantee signal integrity

Active Publication Date: 2019-01-04
INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the methods for denoising seismic data are processed by methods such as Fourier transform and wavelet transform. However, the above processing methods cannot guarantee the integrity of the signal when denoising seismic data.

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  • Method and device for denoising seismic data based on curvelet transform and clustering
  • Method and device for denoising seismic data based on curvelet transform and clustering
  • Method and device for denoising seismic data based on curvelet transform and clustering

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Embodiment 1

[0056] figure 1 It is a flow chart of the seismic data denoising method based on curvelet transform and clustering provided by Embodiment 1 of the present invention.

[0057] refer to figure 1 , the method includes the following steps:

[0058] Step S101, acquiring first seismic data, and performing curvelet transformation on the first seismic data to obtain first curvelet transformation coefficients;

[0059] Here, the curvelet transform is the Curvelet transform. The first seismic data can refer to figure 2 .

[0060]Curvelet transform is a multi-scale anisotropic transform. Seismic data has the optimal sparse expression in the Curvelet domain, so random noise can be removed by thresholding. In the process of denoising, the selection of the preset threshold is very critical. A larger preset threshold can eliminate random noise, but at the same time, part of the effective signal will be lost, resulting in rough edges of seismic waves; a smaller preset threshold can The...

Embodiment 2

[0093] Figure 4 It is a schematic diagram of a seismic data denoising device based on curvelet transform and clustering provided in Embodiment 2 of the present invention.

[0094] refer to Figure 4 , the device includes a curvelet transform unit 10, a denoising processing unit 20, a clustering processing unit 30 and an inverse curvelet transform unit.

[0095] A curvelet transformation unit 10, configured to acquire first seismic data, and perform curvelet transformation on the first seismic data to obtain first curvelet transformation coefficients;

[0096] A denoising processing unit 20, configured to perform denoising processing on the first curvelet transform coefficients to obtain second curvelet transform coefficients;

[0097] A clustering processing unit 30, configured to perform clustering processing on the second curvelet transform coefficients to obtain a third curvelet transform coefficient;

[0098] The inverse curvelet transform unit 40 is configured to perf...

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Abstract

The invention provides a seismic data denoising method and apparatus based on curvelet transform and clustering. The method includes: obtaining first seismic data and performing curvelet transform onthe first seismic data to obtain a first curvelet transform coefficient; performing denoising processing on the first curvelet transform coefficient to obtain a second curvelet transform coefficient;performing clustering processing on the second curvelet transform coefficient to obtain a third curvelet transform coefficient; and performing inverse curvelet transform on the third curvelet transform coefficient to obtain second seismic data. According to the method and apparatus, effective denoising can be realized, and the integrity of effective signals is guaranteed.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a seismic data denoising method and device based on curvelet transform and clustering. Background technique [0002] In seismic exploration, the seismic data collected in the field inevitably records various noise interference, which reduces the signal-to-noise ratio of seismic data and affects various pre-stack processing techniques to a certain extent. In order to improve the signal-to-noise ratio and resolution of the final seismic section, it is necessary to denoise the seismic data. [0003] At present, the methods for denoising seismic data are processed by methods such as Fourier transform and wavelet transform. However, the above processing methods cannot guarantee the integrity of the signal when denoising seismic data. Contents of the invention [0004] In view of this, the object of the present invention is to provide a seismic data denoising method and de...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
Inventor 刘鹏王彦飞
Owner INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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