Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Application of independent component analysis to pre-stack de-noise of seismic data

YANG Pei-guo1,HU Jun-feng1,YANG Jian-bo2,TUO Xian-guo2,3,WANG Hong-hui2,LI Huai-liang2,ZHANG Geng21.National Disaster Reduction Center of China,Beijing 100124,China;2.State Key Laboratory of Geohazard Prevention & Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China;3.Southwest University of Science and Technology,Mianyang 621010,China  
This paper introduces the independent component analysis(ICA) in seismic data processing to enhance seismic data SNR.The theoretical model of ICA to realize the reduction of the seismic data pre-stack noise is established.It firstly extracts the seismic data through designing softwares,and then,uses the S-ICA method to eliminate the noise.After emulating the data of the artificial stack regular interference noise and the actual measurement seismic data,the result shows that the S-ICA has some extent feasibility in practice.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved