| 大地电磁全信息资料三维共轭梯度反演研究(英文) |
| |
| 引用本文： | 林昌洪,谭捍东,佟拓.大地电磁全信息资料三维共轭梯度反演研究(英文)[J].应用地球物理,2011,8(1):1-10. |
| |
| 作者姓名： | 林昌洪 谭捍东 佟拓 |
| |
| 作者单位： | 中国地质大学地质过程与矿产资源国家重点实验室;中国地质大学地下信息探测技术与仪器教育部重点实验室;中国地质大学(北京)地球物理与信息技术学院 |
| |
| 基金项目： | This work is jointly supported by the National Hi-tech Research and Development Program of China(863 Program)，National Natural Science Foundation of China，the Fundamental Research Funds for the Central Universities，the Program for New Century Excellent Talents in University |
| |
| 摘 要： | 在对张量阻抗数据、倾子数据和共轭梯度算法深入分析的基础上,我们实现了大地电磁全信息资料三维共轭梯度反演算法。基于全信息资料的三维共轭梯度反演研究,探讨了同时利用五个电磁场分量整理得到的大地电磁资料进行三维反演定量解释的方法以及全信息数据在三维反演中的作用。理论模型合成数据的反演结果表明,在三维反演中使用张量阻抗和倾子数据结合的全信息数据的反演结果优于只使用张量阻抗数据(或只使用倾子数据)的反演结果,提高了反演结果的分辨率和可信度。合成数据的反演算例也验证了所实现的大地电磁全信息资料三维共轭梯度反演算法的正确性和稳定性。
|
| 关 键 词： | 大地电磁 全信息数据 三维反演 共轭梯度 |
| 收稿时间： | 2 February 2010 |
Three-dimensional conjugate gradient inversion of magnetotelluric full information data |
| |
| Chang-Hong Lin,Han-Dong Tan,Tuo Tong.Three-dimensional conjugate gradient inversion of magnetotelluric full information data[J].Applied Geophysics,2011,8(1):1-10. |
| |
| Authors: | Chang-Hong Lin Han-Dong Tan Tuo Tong |
| |
| Institution: | 1,2,31. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, 100083, China. 2. Key Laboratory of Geo-detection (China University of Geosciences), Ministry of Education, Beijing, 100083, China. 3. School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100083, China. |
| |
| Abstract: | Based on the analysis of impedance tensor data, tipper data, and the conjugate gradient algorithm, we develop a three-dimensional
(3D) conjugate gradient algorithm for inverting magnetotelluric full information data determined from five electric and magnetic
field components and discuss the method to use the full information data for quantitative interpretation of 3D inversion results.
Results from the 3D inversion of synthetic data indicate that the results from inverting full information data which combine
the impedance tensor and tipper data are better than results from inverting only the impedance tensor data (or tipper data)
in improving resolution and reliability. The synthetic examples also demonstrate the validity and stability of this 3D inversion
algorithm. |
| |
| Keywords: | Magnetotelluric full information data 3D inversion conjugate gradient |
| 本文献已被 CNKI 万方数据 SpringerLink 等数据库收录！ |
|
