Three-dimensional conjugate gradient inversion of magnetotelluric impedance tensor data
Three-dimensional conjugate gradient inversion of magnetotelluric impedance tensor data
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DOI：
10.1007/s12583-011-0191-8
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发表时间：
2011-05
影响因子：
3.3
通讯作者：
Changhong Lin;H. Tan;T. Tong
中科院分区：
文献类型：
--
作者：
Changhong Lin;H. Tan;T. Tong
提出了一种大地电磁阻抗张量反演的三维共轭梯度反演算法。为了体现大地电磁阻抗张量对角分量在三维反演中的重要性，采用三维共轭梯度反演方法对合成数据进行了反演，并对反演结果进行了对比分析。综合数据的三维反演结果表明，在没有足够的数据点来恢复目标电阻率结构的情况下，反演需要非对角线分量和对角线分量，才能获得较好的反演结果。这些例子表明，在对角线分量中也包含了大量的三维结构信息；因此，在三维反演中应该包含对角分量。利用该反演算法对日本Kayabe地区的阻抗张量数据进行了反演。利用合成数据和实际数据进行反演，验证了反演算法的有效性和实用性。
We developed a three-dimensional (3D) conjugate gradient inversion algorithm for inverting magnetotelluric impedance tensor measurements. In order to show the importance of including diagonal components of magnetotelluric impedance tensor in 3D inversion, synthetic data were inverted using the 3D conjugate gradient inversion, and the inversion results were compared and analyzed. The results from the 3D inversion of synthetic data indicate that both the off-diagonal and the diagonal components are required in inversions to obtain better inversion results when there are no enough data sites to recover the target resistivity structure. These examples show that lots of information about 3D structure is also contained in the diagonal components; as a result, diagonal components should be included in 3D inversions. The inversion algorithm was also used to invert the impedance tensor data acquired in the Kayabe area in Japan. Inversions with the synthetic and real data demonstrated the validity and practicability of the inversion algorithm.