Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Three-dimensional seismic data image denoising method based on trilateral structure guide smoothing

A 3D seismic and structure-oriented technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as lack of edge preservation ability, lack of detailed structural information in images, weak structural features of seismic images, etc.

Inactive Publication Date: 2014-01-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Three-dimensional seismic data image denoising method based on trilateral structure guide smoothing
  • Three-dimensional seismic data image denoising method based on trilateral structure guide smoothing
  • Three-dimensional seismic data image denoising method based on trilateral structure guide smoothing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Such as figure 1 , the inventive method flow process is as follows:

[0050] 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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a three-dimensional seismic data image denoising method based on trilateral structure guide smoothing. A frame based on traditional structure guide smoothing is included, the construction of structure tensor is improved, the trilateral smoothing with a good side protection effect is combined, the performance of original Gaussian kernel anisotropic diffusion smoothing is greatly improved, the denoising effect is good, less structure information is lost, a great effect is achieved in the side protection and denoising of a seism image, the seism image can store more structure information in the denoising process, and the explanation and the subsequent processing of the seism image are facilitated.

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 trilateral 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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/00
Inventor 钱峰毕文一胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com