Aeromagnetic data inversion integrates magnetic anomalies and geological information to determine the positioning, shape, and properties of subsurface targets. In response to increasing demands for structural analysis, this technique has evolved into three-dimensional (3D) inversion. In this study, we employ 3D magnetic susceptibility inversion of aeromagnetic data from a forested area in Yichun. The study reveals a north-south oriented, gourd-shaped magnetic rock body indicative of a lead-zinc deposit. Based on the results of 2D magnetic susceptibility inversion, a highly magnetized rock body was identified within the study area, located at depths between 200m and 500m and extending approximately 600m east-west. The central coordinates are (503,500m, 5,265,850m). These findings establish a robust geophysical foundation for future lead-zinc exploration in the region.

Understanding the characteristics of lead–zinc mine occurrences and mastering effective investigative techniques are paramount in modern ore prospecting. This research focuses on the forested region of Yichun city in China, with a specific emphasis on the strategic mineral resource of a lead–zinc mine. The study examines the distribution patterns of this mineral and employs advanced aeromagnetic exploration methods. Firstly, we analyzed the geological structure and features of the region by leveraging the latest high-precision aeromagnetic data collected using dynamic delta wing technology. This analysis was complemented by an assessment of the geological conditions of the research area, existing lead–zinc deposits, ground magnetic surveys, and verification studies. With the goal of establishing a meaningful correlation between aeromagnetic anomalies and lead–zinc deposits, we employed various potential field conversion techniques, including the reduction to the pole, vertical derivatives, upward continuation, and residual anomaly analysis techniques. Secondly, we investigated the metallogenic sites within this region and provided a comprehensive summary of the metallogenic circumstances and characteristics related to aeromagnetic prospecting. Thirdly, we employed human–computer interaction fitting inversion techniques to predict the potential for lead–zinc mine prospecting in areas exhibiting aeromagnetic anomalies. The study underscores the significance of high-amplitude and large-scale aeromagnetic anomalies in the study area. Furthermore, we examined the interplay between intrusive rocks, strata, and structural elements within the region to identify favorable conditions for lead–zinc mineralization. As a result of our analysis and discussions, a location was predicted where a lead–zinc mine may exist. The research methodology outlined in this article provides valuable insights for future lead–zinc mine exploration efforts in areas characterized by similar geological conditions.

In the frequency domain electromagnetic method such as magnetotelluric method, finite element method is the main numerical simulation method because it can better simulate the complex physical distribution and complex boundary shape of the geoelectric model. In the finite element method, the quality and quantity of mesh generation will directly affect the accuracy and efficiency of the solution. Theoretically, the accuracy of the finite element solution will gradually approach the real solution with the mesh encryption, but the increase of the mesh number will directly affect the speed of the finite element solution and computer memory. In addition, in the frequency domain electromagnetic method, the decay speed of electromagnetic waves is different at different frequencies, and the use of the same grid at different frequencies will also cause errors. The adaptive finite element method based on a posteriori error estimation can overcome the above shortcomings and improve the calculation accuracy and efficiency of forward modeling. In this paper, starting from the principle of superconvergent patch recovery algorithm, the superconvergent patch recovery algorithm is deduced in detail, the processing of the boundary element in the superconvergent patch recovery algorithm is used as the indicator factor of the adaptive finite element posterior error estimation, and a mesh encryption strategy is proposed, the encryption strategy is simple and reliable. Finally, using the characteristics of the superconvergent patch recovery algorithm, it is used in the calculation of auxiliary field of magnetotelluric method. Through the forward modeling of three geoelectric models. It is verified that the adaptive finite element method based on the a posteriori error of the superconvergent patch recovery algorithm combined with the auxiliary field calculation method of the superconvergent patch recovery algorithm can effectively improve the accuracy and feasibility of the finite element forward modeling of the superconvergent patch recovery algorithm.