Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (1): 279-291.doi: 10.13278/j.cnki.jjuese.20220338

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Magnetic Source Variable Depth Imaging Method Based on Different Order Analytic Signals#br#

Wang Yanguo1, 2, Tian Ye2, Deng Juzhi1,2, Ge Kunpeng1, 2, Chen Xiao1, 2   

  1. 1. State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
    2. School of Geophysics and Measurement Control Technology, East China University of Technology, Nanchang 330013, China
  • Received:2022-12-11 Online:2024-01-26 Published:2024-03-11
  • Supported by:
    the National Natural Science Foundation of China (41504098, 41862013) and the Natural Science Foundation of Jiangxi Province (20212BAB203005)

Abstract: Analytic signal is a common tool for magnetic data processing and interpretation. Based on the relationship of different order analytic signals and their vertical derivative, this paper introduced a magnetic source variable depth imaging function with a depth scaled factor. The new method can be used for determining the position of filed source by using the maximum value of depth imaging, and estimating structural index on basis of the inverted depth and imaging maximum value. In addition, we can use the imaging results with different depth scaled factors and different orders to improve the reliability and usability of the new method. Model tests and applications indicate that the new method can    abtain  stronger computational  stability, higher spatial imaging resolution and more accurate field source parameter inversion results using lower-order derivatives, compared with the DEXP (depth from extreme points) methods of analytic signal ratio and local wavenumber.

Key words: magnetic source, analytic signal, depth imaging, structural index

CLC Number: 

  • P631.2
[1] Zhu Kaiguang, Li Bingbing, Wang Lingqun, Xie Bin, Wang Qi, Cheng Yuqi. Conductivity-Depth Imaging of Fixed-Wing Airborne Electromagnetic Data [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(6): 1839-1845.
[2] Ma Guoqing,Du Xiaojuan,Li Lili,Li Wencheng,Wang Fenggang. Gradient Deconvolution Method and Its Application in Mineral Exploration [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 259-266.
[3] LI Li-li, DU Xiao-juan, MA Guo-qiang. Improved Local Wavenumber Methods in the Interpretation of Magnetic Fields [J]. J4, 2012, 42(4): 1179-1185.
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