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De-noising processing method for three-dimensional seismic images

A three-dimensional seismic and noise reduction technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems of the theoretical analysis and numerical calculation of the image noise reduction process, and achieve obvious adaptability, improved noise reduction effect, and automatic performance. Adaptive and accurate effects

Inactive Publication Date: 2012-12-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Because seismic images are inevitably affected by noise, the image denoising process has certain difficulties in both theoretical analysis and numerical calculation.
The most basic task of seismic image denoising processing is to remove the noise introduced by the degraded system without losing the details of the original data. an easy problem to solve

Method used

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  • De-noising processing method for three-dimensional seismic images
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  • De-noising processing method for three-dimensional seismic images

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Embodiment Construction

[0033] A noise reduction processing method for 3D seismic images, such as figure 1 shown, including the following steps:

[0034] Step 1. Parameter initialization (including the setting of the number of iterations, Iter=0), input 3D seismic image data;

[0035] Step 2: Establish a degradation model and calculate the degradation matrix H:

[0036] The quality degradation of seismic images is called degradation, and the forms of degradation include blurring, distortion, and noise. The image degradation process can be regarded as the noise pollution process, and the degradation model is as follows:

[0037]

[0038] According to the above degradation model, the degraded image is obtained as:

[0039] g(x,y,z)=H f(x,y,z)+n(x,y,z)(2-1)

[0040] Among them, f(x,y,z) is the original image, g(x,y,z) is the degraded image, H[] is a function of all degradation factors, and n(x,y,z) is the noise.

[0041] We make the following assumptions about H:

[0042] ①H is linear.

[0043] ...

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Abstract

The invention discloses a de-noising processing method for three-dimensional seismic images. By the de-noising processing method, advantages of a mixed norm iterative algorithm and accuracy of continuity factors of the seismic images are sufficiently utilized, so that a de-noising effect for the seismic images is obviously enhanced. The de-noising processing method has the advantages that the timing for carrying out image boundary protecting processing by 1-1 norms and the timing for carrying out smoothing for the images by 1-2 norms are adaptive in a seismic image de-noising process owing to introduction of the mixed norms; adaptability of the algorithm is obvious and accurate in the de-noising process owing to the introduction of the continuity factors, and a better effect in the aspect of accurately reserving useful pattern information in the original patterns is realized as compared with a traditional de-noising method; and as shown in test results, the convergence rate of the mixed norm iterative algorithm for solving a total variation model is high, computation time is short, and the mixed norm iterative algorithm is good in robustness.

Description

technical field [0001] The invention relates to a noise reduction processing method for three-dimensional seismic images. Background technique [0002] Nowadays, all countries are constantly seeking to improve and enhance the technology used in seismic interpretation technology, especially when the signal-to-noise ratio of seismic data signal is low, the traditional seismic image noise reduction technology and processing technology cannot quickly and accurately give Therefore, the problem of noise reduction and improvement of signal-to-noise ratio of seismic data is becoming more and more urgent. At present, the work of improving the signal-to-noise ratio and definition of seismic data through seismic image processing technology has been carried out to facilitate seismic interpretation. Moreover, after careful observation, it is found that the noise in seismic images can be roughly divided into coherent noise and random noise. [0003] Coherent noise includes refraction, s...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 钱峰吴嘉兴胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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