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| 核磁共振T_2谱奇异值反演改进算法 | |
| 引用本文： | 林峰,王祝文,刘菁华,丁阳,李长春.核磁共振T_2谱奇异值反演改进算法[J].吉林大学学报(地球科学版),2009,39(6). |
| 作者姓名： | 林峰 王祝文 刘菁华 丁阳 李长春 |
| 作者单位： | 1. 吉林大学,地球探测科学与技术学院,长春,130026;吉林化工学院,理学院,吉林省,吉林市,132022 2. 吉林大学,地球探测科学与技术学院,长春,130026 3. 吉林大学,地球探测科学与技术学院,长春,130026;吉林工程技术师范学院,基础科学系,长春,130052 |
| 基金项目： | 四川省地学核技术重点实验室开放基金项目，吉林大学种子基金项目 |
| 摘 要： | 通过分析最佳奇异值保留个数与信噪比的关系,改进了传统的SVc反演算法,提出了一种新的实现非负约束的迭代方案.数值模拟实验和实际应用表明,改进的奇异值分解算法可以适用于低信噪比(5 |
| 关 键 词： | 核磁共振 T_2谱 核磁测井 奇异值分解 地球物理勘探 |
An Improved Algorithm for Singular Value Decomposition Inversion of T_2 Spectrum in Nuclear Magnetic Resonance |
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| LIN Feng,WANG Zhu-wen,LIU Jing-hua,DING Yang,LI Chang-chun.An Improved Algorithm for Singular Value Decomposition Inversion of T_2 Spectrum in Nuclear Magnetic Resonance[J].Journal of Jilin Unviersity:Earth Science Edition,2009,39(6). | |
| Authors: | LIN Feng WANG Zhu-wen LIU Jing-hua DING Yang LI Chang-chun |
| Institution: | LIN Feng1,2,WANG Zhu-wen1,LIU Jing-hua1,DING Yang1,LI Chang-chun1,31.College of GeoExploration Science , Technology,Jilin University,Changchun 130026,China2.Faculty of Science,Jilin Institute of Chemical Technology,Jilin,Jilin 132022,China3.Department of Basic Science Jilin Teacher,Institute of Engineering , Technology,Changchun 130052,China |
| Abstract: | The SVD inversion algorithm was improved based on analysis of the relationship between the optimum number of singular value retained and SNR.A new iterative scheme was proposed to achieve the nonnegative constraint.The results of numerical simulations and application indicated that the improved SVD algorithm could adapt to low SNR(5 |
| Keywords: | nuclear magnetic resonance T_2 spectrum NMR logging singular value decomposition geophysical prospecting |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |