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低信噪比核磁共振T2谱反演算法研究(英文)
引用本文:林峰,王祝文,李静叶,张雪昂,江玉龙.低信噪比核磁共振T2谱反演算法研究(英文)[J].应用地球物理,2011,8(3):233-238.
作者姓名:林峰  王祝文  李静叶  张雪昂  江玉龙
作者单位:吉林大学地球探测科学与技术学院;吉林化工学院理学院;
摘    要:正则化因子的选择方法决定了正则化方法的稳定性和准确度。在分析改进的奇异值分解法与正则化方法的关系的基础上,给出一个正则因子计算公式。数值模拟试验表明改进的奇异值分解法和正则化方法适应低信噪比。当信噪比低于30时正则化方法比奇异值分解法结果更好,当信噪比高于30时奇异值分解法更优。采用本文提出的正则因子的正则化方法可以适用于实际核磁测井的低信噪比(5
关 键 词:核磁共振  T2  奇异值分解  正则化方法

Study on algorithms of low SNR inversion of T 2 spectrum in NMR
Feng Lin,Zhu-Wen Wang,Jing-Ye Li,Xue-Ang Zhang,Yu-Long Jiang.Study on algorithms of low SNR inversion of T 2 spectrum in NMR[J].Applied Geophysics,2011,8(3):233-238.
Authors:Feng Lin  Zhu-Wen Wang  Jing-Ye Li  Xue-Ang Zhang  Yu-Long Jiang
Institution:Lin Feng 1,2,Wang Zhu-Wen 1,Li Jing-Ye 1,Zhang Xue-Ang 1,and Jiang Yu-Long 11.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...
Keywords:nuclear magnetic resonance  T 2 spectrum  singular value decomposition  regularization method  
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