Research on Construction of combined model weighting function and its application on aeromagnetic 3D inversion modeling
Gao Xiu-he, Xiong Sheng-qing,*, Sun Si-yuan,*, Zeng Zhao-fa, Yu Chang-chun
1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
2. Key Laboratory of Airborne Geophysics and Remote Sensing Geology Ministry of Natural Resources, Beijing 100083,China
3. College of GeoExploration Science and Technology, Jilin University, Changchun 130000, China
Abstract Research on Construction of combined model weighting function and its application on aeromagnetic 3D inversion modeling In the 3D inversion modeling of gravity and magnetic potential field data, the model weighting function is often applied to overcome the skin eff ect of inversion results. However, divergence occurs at the the deep area, and artificial weak negative anomalies form around the positive anomalies in the horizontal direction, resulting in a reduction in the overall resolution. To fully utilize the model weighting function, this study constructs a combined model weighting function. First, a new depth weighting function is constructed by adding a regulator into the conventional depth weighting function to overcome the skin eff ect and inhibit the divergence at the deep area of the inversion results. A horizontal weighting function is then constructed by extracting information from the observation data; this function can suppress the formation of artificial weak anomalies and improve the horizontal resolution of the inversion results. Finally, these two functions are coupled to obtain the combined model weighting function, which can replace the conventional depth weighting function in 3D inversion. It improves the vertical and horizontal resolution of the inversion results without increasing the algorithm complexity and calculation amount, is easy to operate, and adapts to any 3D inversion method. Two model experiments are designed to verify the effectiveness, practicability, and anti-noise of the combined model weighting function. Then the function is applied to the 3D inversion of the measured aeromagnetic data in the Jinchuan area in China. The obtained inversion results are in good agreement with the known geological data.
Fund: This research is jointly funded by the National Natural Science Foundation of China (No. U2244220, No.42004125), the China Geological Survey Projects (No.DD20240119, No. DD20243245, No. DD20230114,No. DD20243244), and the China Postdoctoral Science Foundation (No. 2020M670601).
About author: Gao Xiuhe, female, born in 1991, is a senior engineer.She received a bachelor’s degree and a doctorate degree in solid geophysics from Jilin University in 2014 and 2019, respectively. From 2019 to 2021, she conducted postdoctoral research at China Aero Geophysical Survey and Remote Sensing Center for Natural Resource. From 2021 to date, she has worked at China Aero Geophysical Survey and Remote Sensing Center for Natural Resource, focusing on research on gravity, magnetic and tensor gradient data inversion and interpretation.
Cite this article:
. Research on Construction of combined model weighting function and its application on aeromagnetic 3D inversion modeling[J]. APPLIED GEOPHYSICS, 2025, 22(2): 342-353.
2025, Vol. 22 
