基于欧拉反褶积法的无人机航磁找矿应用

Application of UAV Aeromagnetic Prospecting Based on Euler Deconvolution

无人机航磁测量以其高效、安全、低成本等优点逐渐应用到中小面积大比例尺资源勘探领域。本文针对安徽芜湖市三山区22 km2区域构造刻画和找矿前景预测,开展1∶20 000高精度无人机航磁测量工作;推导了欧拉反演求解过程,并分析对比构造指数选取,使用构造指数为0的欧拉反褶积对航磁数据进行反演求解,获得地下磁异常体构造边界解集信息;将其应用到研究区域航磁数据反演,根据反演得到的边界位置和深度信息圈定了18处断裂,并结合异常特征给出了8.7 km2岩浆岩分布区,根据宁芜区域铁矿成矿特点,圈定岩浆分布区及边界为成矿详查区。

Unmanned aerial vehicle(UAV) aeromagnetic survey is gradually applied to the field of small and medium-sized large-scale resource exploration due to its advantages of high efficiency, safety, and low cost. This study aims at the structure description and prospect prediction of the 22 km2 area in Sanshan district, Wuhu City, Anhui Province. For this purpose, the 1∶20 000 high-precision UAV aeromagnetic survey was carrued out. The authors deduced the process of Euler inversion, analyzed and compared the selections of the tectonic index, used Euler deconvolution with the tectonic index 0 to solve the aeromagnetic data inversion, and finally obtained the structural boundary solution set information of the underground magnetic anomaly body. This was applied to the inversion of aeromagnetic data in the study area. According to the boundary position and depth information obtained from the inversion, 18 faults are recognized and combined. A magma distribution area of 8.7 km2 is delineated based on the anomalous characteristics. According to the metallogenic characteristics of an iron ore in Ningwu area, the magmatic distribution area and its boundary are determined as a detailed metallogenic survey area.