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Lithofacies threshold-based mixed-order anisotropic diffusion seismic image denoising method

An anisotropic, seismic image technology, used in image enhancement, image analysis, image data processing, etc., can solve problems such as image distortion, achieve the effect of improving the effect, protecting the structural details, and removing noise interference

Active Publication Date: 2020-04-10
CHINA JILIANG UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a mixed-order anisotropic diffusion seismic image denoising method based on lithofacies threshold, which overcomes the problem that the traditional anisotropic diffusion method easily causes image distortion in seismic image processing, and Effective combination of low-order and high-order anisotropic diffusion equations based on lithofacies threshold can effectively remove noise interference and protect structural details of seismic images

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  • Lithofacies threshold-based mixed-order anisotropic diffusion seismic image denoising method
  • Lithofacies threshold-based mixed-order anisotropic diffusion seismic image denoising method
  • Lithofacies threshold-based mixed-order anisotropic diffusion seismic image denoising method

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Embodiment Construction

[0034] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0035] Such as figure 1 Shown is the flowchart of the inversion method of the present invention, and the specific steps are as follows:

[0036] Step 1: Segment the seismic image to be processed based on horizon or lithofacies information. According to horizon or lithofacies information, the seismic image is divided into n sub-images S i (i=1,2,3,...,n), each sub-image corresponds to strata of different lithologies, and the number of seismic sub-images is equal to the number of layers n.

[0037] Step 2, set the maximum number of iterations t max , the initial diffusion coefficient and the initial lithofacies threshold. Since the seismic images of different litholog...

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Abstract

The invention discloses a lithofacies threshold-based mixed-order anisotropic diffusion seismic image denoising method, and the method combines a low-order anisotropic diffusion equation and a high-order anisotropic diffusion equation, estimates a diffusion threshold based on gradient statistical information of stratum lithofacies, and controls weights of two anisotropic diffusion items through the lithofacies threshold. According to the method, the defect that the boundary is excessively smooth or a local block model is generated when the seismic image is denoised through a traditional anisotropic diffusion method is overcome, noise interference of the seismic image can be effectively removed through the method, and structural detail information can be recovered while the boundary of theimage is protected.

Description

technical field [0001] The invention relates to a mixed-order anisotropic diffusion seismic image denoising method based on lithofacies threshold, in particular to a seismic image filtering and denoising technology combining low-order and high-order anisotropic diffusion equations, which belongs to geophysical exploration In the field of seismic data processing. Background technique [0002] Seismic image processing can remove the noise interference in the original seismic data, restore the structural details in the seismic image, improve the signal-to-noise ratio, serve the subsequent inversion and interpretation of refined seismic data, and play an important role in seismic exploration. [0003] The anisotropic diffusion method based on partial differential equations is a widely used image processing technique, which is also applied in the field of seismic image processing. At present, the anisotropic diffusion method usually uses the second-order anisotropic diffusion eq...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/10
CPCG06T7/10G06T5/70
Inventor 郭强金小萍金宁翟文超
Owner CHINA JILIANG UNIV
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