Equivalent source data reconstruction method based on different components of magnetic data

JinFeng WU, XiaoHong MENG, Jun WANG, XiaoPeng CHANG, Xiang ZHANG

Prog Geophy ›› 2026, Vol. 41 ›› Issue (3) : 1331-1344.

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Prog Geophy ›› 2026, Vol. 41 ›› Issue (3) : 1331-1344. DOI: 10.6038/pg2026JJ0026

Equivalent source data reconstruction method based on different components of magnetic data

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Abstract

The equivalent source method is widely used in magnetic field data processing and conversion. In the field of magnetic method, the current common equivalent source method research is based on the total magnetic field data, and the research on the reconstruction of equivalent source data using different component magnetic data is relatively few. Based on this, this paper discusses the influence of single component magnetic data and different component magnetic data combination on the reconstruction accuracy of total magnetic field data by using equivalent source method, and carries out equivalent source model test of single component data and different component magnetic data combination. The results show that the single component magnetic data can reconstruct the total magnetic field data by using the equivalent source method, and the vertical component data can reconstruct the total magnetic field data by using the equivalent source method compared with the horizontal component data. The accuracy of the results is relatively high, and the reconstruction accuracy of the total magnetic field data will be further improved by using the more comprehensive component combination data. This method is applied to the reconstruction of equivalent source data in the Galinge iron mine area of Qinghai Province, China, and the expected results are achieved, which provides a reference for the subsequent research of equivalent source method.

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Magnetic total field / Three components / Equivalent source method / Data reconstruction

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JinFeng WU , XiaoHong MENG , Jun WANG , et al . Equivalent source data reconstruction method based on different components of magnetic data[J]. Progress in Geophysics. 2026, 41(3): 1331-1344 https://doi.org/10.6038/pg2026JJ0026

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