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3D Magnetization Vector Inversion of Magnetic Data: Improving and Comparing Methods

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Abstract

Magnetization vector inversion is an useful approach to invert for magnetic anomaly in the presence of significant remanent magnetization and self-demagnetization. However, magnetizations are usually obtained in many different directions under the influences of geophysical non-uniqueness. We propose an iteration algorithm of magnetization vector inversion (M-IDI) that one couple of magnetization direction is iteratively computed after the magnetization intensity is recovered from the magnitude magnetic anomaly. And we compare it with previous methods of (1) three orthogonal components inversion of total magnetization vector at Cartesian framework (MMM), (2) intensity, inclination and declination inversion at spherical framework (MID), (3) directly recovering the magnetization inclination and declination (M-IDCG) and (4) estimating the magnetization direction using correlation method (M-IDC) at the sequential inversion frameworks. The synthetic examples indicate that MMM returns multiply magnetization directions and MID results are strongly dependent on initial model and parameter weights. M-IDI computes faster than M-IDC and achieves a constant magnetization direction compared with M-IDCG. Additional priori information constraints can improve the results of MMM, MID and M-IDCG. Obtaining one magnetization direction, M-IDC and M-IDI are suitable for single and isolated anomaly. Finally, M-IDI and M-IDC are used to invert and interpret the magnetic anomaly of the Galinge iron-ore deposit (NW China) and the results are verified by information from drillholes and physical properties measurements of ore and rock samples. Magnetization vector inversion provides a comprehensive way to evaluate and investigate the remanent magnetization and self-demagnetization.

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(Adapted from Yu et al. 2015; Yu 2016)

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Acknowledgements

We are grateful to editor Dr. Valéria C. F. Barbosa, the reviewer Dr. Peter Lelièvre and another anonymous reviewer for their constructive comments and suggestions, which significantly improved the manuscript. We also thank for Prof. Rixiang Zhu for his supervisions and comments. This study was financially supported by the National Natural Sciences Foundation of China (41604087, 41630317), the opening foundation of the State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences (KAI-201601), the China Postdoctoral Science Foundation (2016M590132), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUGL170407, CUG160609).

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Authors and Affiliations

  1. Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, 430074, China

    Shuang Liu, Xiangyun Hu, Henglei Zhang, Meixia Geng & Boxin Zuo

  2. State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China

    Shuang Liu

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  1. Shuang Liu
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  2. Xiangyun Hu
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  4. Meixia Geng
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  5. Boxin Zuo
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Correspondence to Shuang Liu or Xiangyun Hu.

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Liu, S., Hu, X., Zhang, H. et al. 3D Magnetization Vector Inversion of Magnetic Data: Improving and Comparing Methods. Pure Appl. Geophys. 174, 4421–4444 (2017). https://doi.org/10.1007/s00024-017-1654-3

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  • DOI: https://doi.org/10.1007/s00024-017-1654-3

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