| 大地电磁法三维共轭梯度反演研究 |
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| 引用本文： | 林昌洪,潭捍东,佟拓.大地电磁法三维共轭梯度反演研究[J].应用地球物理,2008,5(4):314-321. |
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| 作者姓名： | 林昌洪 潭捍东 佟拓 |
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| 作者单位： | 中国地质大学(北京)地球物理与信息技术学院 |
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| 基金项目： | This work is jointly sponsored by National Natural Science Foundation of China，the National Hi-tech Research and Development Program of China (863 Program)，the Program for New Century Excellent Talents in University |
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| 摘 要： | Based on the analysis of the conjugate gradient algorithm, we implement a threedimensional （3D） conjugate gradient inversion algorithm with magnetotelluric impedance data. During the inversion process, the 3D conjugate gradient inversion algorithm doesn＇ t need to compute and store the Jacobian matrix but directly updates the model from the computation of the Jacobian matrix. Requiring only one forward and four pseudo-forward modeling applications per frequency to produce the model update at each iteration, this algorithm efficiently reduces the computation of the inversion. From a trial inversion with synthetic magnetotelluric data, the validity and stability of the 3D conjugate gradient inversion algorithm is verified.
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| 关 键 词： | 大地 电磁 三维空间 阻抗 地震 |
Three-dimensional conjugate gradient inversion of magnetotelluric sounding data |
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| Changhong?Lin,Handong?Tan,Tuo?Tong.Three-dimensional conjugate gradient inversion of magnetotelluric sounding data[J].Applied Geophysics,2008,5(4):314-321. |
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| Authors: | Changhong Lin Handong Tan Tuo Tong |
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| Institution: | [1]State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, 100083, China [2]School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100083, China |
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| Abstract: | Based on the analysis of the conjugate gradient algorithm, we implement a three-dimensional (3D) conjugate gradient inversion algorithm with magnetotelluric impedance data. During the inversion process, the 3D conjugate gradient inversion algorithm doesn' t need to compute and store the Jacobian matrix but directly updates the model from the computation of the Jacobian matrix. Requiring only one forward and four pseudo-forward modeling applications per frequency to produce the model update at each iteration, this algorithm efficiently reduces the computation of the inversion. From a trial inversion with synthetic magnetotelluric data, the validity and stability of the 3D conjugate gradient inversion algorithm is verified. |
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| Keywords: | magnetotelluric 3D inversion conjugate gradient |
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