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Image denoising method for 3D seismic data based on trilateral structure-guided filtering

A 3D seismic and structure-oriented technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of weak structural features of seismic images, more image structure information, and missing image detail structure information, etc.

Inactive Publication Date: 2016-05-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0008] Although the traditional Gaussian kernel structure-guided filtering method can protect the structure in the noise reduction of 3D seismic images, the construction of the structure tensor depends on Gaussian filtering. Gaussian filtering is a smoothing method without the ability to preserve edges, which makes the generated The structure tensor lacks the detailed structure information of many images, resulting in a lot of image structure information that is filtered out, which is very unfavorable for weak structural features in seismic images

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  • Image denoising method for 3D seismic data based on trilateral structure-guided filtering
  • Image denoising method for 3D seismic data based on trilateral structure-guided filtering
  • Image denoising method for 3D seismic data based on trilateral structure-guided filtering

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Embodiment Construction

[0048] Such as figure 1 , the inventive method flow process is as follows:

[0049] The first step is to set the input parameters, that is, to set the trilateral structure-guided filtering parameters for the 3D seismic image data. There are three parameters, including the filter parameter σ for calculating the structure tensor 1 , the time step size of diffusion filtering timeSetp, the number of iterations iterTimes of trilateral structure-guided filtering. Among them, the calculation of the structure tensor adopts trilateral filtering, where the filtering parameter σ 1 It is the parameter of the trilateration filter, and its value range is generally 0.5-5, which affects the calculation of the structure tensor of the 3D seismic image. The trilateral structure-guided filtering of the 3D seismic image is realized through multiple iterations. Each iteration will calculate the increment of the 3D seismic data input in this iteration. The time step timeSetp is the coefficient of...

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Abstract

The invention discloses a three-dimensional seismic data image noise reduction method based on trilateral structure-guided filtering. Based on the framework of traditional structure-guided filtering, the construction of structural tensors is improved, and combined with trilateral filtering with better edge-preserving effect, the method greatly improves It improves the performance of the original Gaussian kernel anisotropic diffusion filter, which makes the denoising effect good and the loss of structural information is small. More structural information facilitates the interpretation and subsequent processing of seismic images.

Description

technical field [0001] The invention relates to the field of seismic image processing, in particular to a three-dimensional seismic data image noise reduction method based on triangular structure guided filtering. Background technique [0002] Seismic data contain a lot of geological structure information, such as geological units such as rock formations, lenses, salt domes, and pinchout bodies, as well as structural units such as anticlines, synclines, faults, lithological invasions, and unconformities. It is an important indicator of reservoirs and is the target area for oil and gas seismic exploration. However, due to the complexity of the surface seismic wave signal acquisition environment, the seismic data contains strong noise. In addition, these complex geological structures reflect weakly the seismic wave signal, making the target area in the imaging image of the seismic data blurred, unclear, or even submerged. Unrecognizable in noise. [0003] Seismic data denois...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 钱峰毕文一胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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