An aeromagnetic denoising-decomposition-3D inversion approach for mineral exploration

Frontiers in Earth Science

Earth Science

Liancun Xiu¹  Min Ma²  Haoqing Xu³  Wenhui Zhou³  Wenjie Wang³  Qi Gao³  Yongli Li³ 

[1] Chinese Academy of Geological Sciences, Beijing, China;Chinese Academy of Geological Sciences, Beijing, China;School of Earth Sciences and Resources, China University of Geosciences, Beijing, China;Hohhot General Survey of Natural Resources Center, China Geological Survey, Hohhot, China;Hohhot General Survey of Natural Resources Center, China Geological Survey, Hohhot, China;

关键词: aeromagnetic denoising;    MSVD;    residual anomaly extraction;    improved BEMD;    3D inversion;    mineral exploration;   

DOI  :  10.3389/feart.2023.1132093

 received in 2022-12-26, accepted in 2023-06-01,  发布年份 2023

来源: Frontiers

【 摘 要 】

Reduction of aeromagnetic noise and extraction of mineralization-related residual anomalies are critical for aeromagnetic data processing in mineral exploration. This study introduced a multifractal singular value decomposition (MSVD) method to remove the noise and improved the bi-dimensional empirical mode decomposition (BEMD) algorithm to extract residual magnetic anomalies. It is shown that MSVD and improved BEMD could effectively reduce the noise and extract residual magnetic anomalies. Then, a wavenumber–domain iterative approach is applied in 3D imaging of magnetic anomalies and gradients with depth constraints, which is a rapid tool for qualitative and quantitative interpretation of magnetic data and is suitable for rapidly imaging large-scale data. The 3D inversion result is verified by four geological sections along the regional tectonic directions and some drilling holes on the deposits. It is revealed that this proposed approach is practical and effective in dealing with aeromagnetic data interpretation and inversion for mineral exploration.

【 授权许可】

Unknown   
Copyright © 2023 Ma, Xiu, Gao, Li, Wang, Xu and Zhou.