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

Abstract

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.

The upper crustal thermal structure of the Cameli Basin and its surroundings (SW Anatolia, Türkiye) by using the fractal-based centroid method of aeromagnetic data and its relationship with earthquakes occurring in the region

“…Pamukçu et al (2014) found that shallow Curie point depths (∼12 km), high heat flow values (∼80 mW/m 2), and thin crust in the north and northwest of the Bitlis-Zagros Suture Zone are associated with volcanic and geothermal areas. Researchers such as (Li et al, 2019;Abdullahi and Kumar, 2020;Ma et al, 2023;Yaro et al, 2023) also used this fractal method in determining the Curie depth to reveal the thermal structure.…”