Content area

Abstract

The method of regularization factor selection determines stability and accuracy of the regularization method. A formula of regularization factor was proposed by analyzing the relationship between the improved SVD and regularization method. The improved SVD algorithm and regularization method could adapt to low SNR. The regularization method is better than the improved SVD in the case that SNR is below 30 and the improved SVD is better than the regularization method when SNR is higher than 30. The regularization method with the regularization factor proposed in this paper can be better applied into low SNR (5<SNR) NMR logging. The numerical simulations and real NMR data process results indicated that the improved SVD algorithm and regularization method could adapt to the low signal to noise ratio and reduce the amount of computation greatly. These algorithms can be applied in NMR logging.[PUBLICATION ABSTRACT]

Details

Identifier / keyword
Title
Study on algorithms of low SNR inversion of T ^sub 2^ spectrum in NMR
Publication title
Volume
8
Issue
3
Pages
233-238
Publication year
2011
Publication date
Sep 2011
Publisher
Springer Nature B.V.
Place of publication
Dordrecht
Country of publication
Netherlands
Publication subject
ISSN
16727975
e-ISSN
19930658
Source type
Scholarly Journal
Language of publication
English
Document type
Feature
Document feature
References
ProQuest document ID
898403456
Document URL
https://www.proquest.com/scholarly-journals/study-on-algorithms-low-snr-inversion-t-sub-2/docview/898403456/se-2?accountid=208611
Copyright
Editorial Office of Applied Geophysics and Springer-Verlag Berlin Heidelberg 2011
Last updated
2024-10-05
Database
ProQuest One Academic