3D Step-by-step inversion strategy for audio magnetotellurics data based on unstructured mesh
3D Step-by-step inversion strategy for audio magnetotellurics data based on unstructured mesh
复制标题
基于非结构化网格的音频大地电磁数据3D分步反演策略
DOI：
10.1007/s11770-021-0905-3
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发表时间：
2021-09
影响因子：
0.7
通讯作者：
Li Yong
中科院分区：
文献类型：
--
作者：
Cheng San;Zhang Zhiyong;Zhou Feng;Li Man;Chen Hui;Shi Fusheng;Huang Linpin;Li Yong
本研究研究了音频大地电磁 (AMT) 的三维 (3D) 逐步反演策略。通过迭代求解高斯-牛顿正规方程来最小化目标函数，并使用非结构化四面体单元来离散化反演区域。反演从粗网格逐步进行到细网格。在反演迭代过程中，根据模型电阻率的空间梯度信息自适应优化网格，精细圈定异常体的边界。反演执行初期采用粗网格进行反演，通过减少反演单元数量提高反演稳定性。此外，在迭代反演过程中进行网格细化。上一次网格得到的反演结果作为下一次网格迭代反演的参考和初始模型。分步反演策略可以保证反演按照正确的方向进行，逐步提高反演的稳定性和结果。综合结果表明，采用高斯-牛顿法进行3D AMT反演的分步反演策略稳定可靠，为进一步实用3D AMT数据反演奠定了基础。
A three-dimensional (3D) step-by-step inversion strategy for audio magnetotellurics (AMT) is investigated in this study. The objective function is minimized by iteratively solving the Gauss–Newton normal equation, and the inversion region is discretized with unstructured tetrahedral elements. The inversion proceeds step-by-step from a coarse mesh to a fine mesh. In the inversion iteration process, a mesh is adaptively optimized according to the spatial gradient information about the model resistivity to fine delineate the boundaries of abnormal bodies. In the early stage of inversion execution, a coarse mesh is used for inversion, and the inversion stability is improved by reducing the number of inversion elements. In addition, mesh refinement is performed in the iterative inversion process. The inversion results obtained from the previous mesh are used as the reference and initial models for the next mesh iterative inversion. The step-by-step inversion strategy can ensure that the inversion is performed in the correct direction, improving the inversion stability and results gradually. Synthetic results show that the step-by-step inversion strategy with a Gauss–Newton method for 3D AMT inversion is stable and reliable, which lays a foundation for further practical 3D AMT data inversion.
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一种面向目标的自适应三维分散机载电磁法建模有限元方法
影响因子：
3.3
作者：
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影响因子：
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DOI：
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发表时间：
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期刊：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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