Study on algorithms of low SNR inversion of T2 spectrum in NMR
Lin Feng1,2, Wang Zhu-Wen1, Li Jing-Ye1, Zhang Xue-Ang1, and Jiang Yu-Long1
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun, 130026, China;
2. Faculty of Science, Jilin Institute of Chemical Technology, Jilin, 132022, China.
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.
About author: Lin Feng is a associate professor of Jilin Institute of Chemical Technology. He is studying for his doctor degree at College of Geo-Exploration Science and Technology of Jilin University (Jilin). His research work mainly focuses on the new method of NMR logging.
Cite this article:
LIN Feng,WANG Zhu-Wen,LI Jing-Ye et al. Study on algorithms of low SNR inversion of T2 spectrum in NMR[J]. APPLIED GEOPHYSICS, 2011, 8(3): 233-238.
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2011, Vol. 8 
