DocumentCode
2573656
Title
Application of anisotropic diffusion filtering in seismic data processing
Author
Wang, Likun ; Wang, Xuben ; Liu, Lihui
Author_Institution
Coll. of Inf. Eng., Chengdu Univ. of Technol., Chengdu, China
fYear
2011
fDate
27-29 June 2011
Firstpage
3046
Lastpage
3049
Abstract
In order to meet the needs of 3D seismic image filtering, the method of 3D anisotropic diffusion filtering has been studied. And the relationship between the eigenvalues of structure tensor and the stratum structure has been analyzed in detail. By using structure tensor, extracted the local structure of 3D seismic image, and using the improved coherent enhancement diffusion method, designed eigenvalues of diffusion tensor ,and constructed the diffusion tensor to control the diffusion rate of three main orientation. And anisotropic diffusion filter algorithm and program has been designed. The results of 3D theory model test and real seismic data processing has verified the correctness and effectiveness of this method. And the filtering results demonstrate its efficiency to remove incoherent noise as well as to enhance the continuity of seismic events and geologic sediments. This diffusion filter can improve the quality of seismic data wholly.
Keywords
diffusion; eigenvalues and eigenfunctions; feature extraction; geophysical image processing; geophysical techniques; image denoising; information filtering; tensors; 3D anisotropic diffusion filtering; 3D seismic image filtering; 3D theory model test; coherent enhancement diffusion method; diffusion tensor; geologic sediment; seismic data processing; stratum structure; structure tensor; Anisotropic magnetoresistance; Filtering theory; Geophysics; Signal to noise ratio; Tensile stress; Three dimensional displays; 3D seismic image; anisotropic diffusion filter; diffusion rate; diffusion tensor; structure tensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5972114
Filename
5972114
Link To Document