Euler Homogeneity Equation in Source Parameter Imaging and Deconvolution for Depth-To-Basement Estimation of Ground Magnetic Survey Data

Abstract

This study investigated the depth to bedrock of the Aule Flood landscape using Source Parameter Imaging (SPI) and the Euler deconvolution depth estimation algorithm, which applies Euler homogeneity equations to the acquired ground magnetic potential data. The study used the structural index (N) to describe the shape of the underlying causative body. Euler deconvolution employs the homogeneity equation to precisely measure the potential field and estimate the depth and location of the source causative body. The SPI-based depth estimation technique calculates the local wavenumber and the analytical signal using the Euler homogeneity equation. The observed vertical and horizontal derivatives of the Earth's magnetic field are combined to obtain the local wave number. Conforming to the preliminary findings of the ground magnetic exploration, Euler deconvolution estimated the deepest possible basement level at 31.9.

In comparison, Source Parameter Imaging (SPI) estimated a maximum depth of 74.9 meters. This study shows that the Euler Deconvolution method is more sensitive to shallow magnetic sources than to deeper ones because it uses the vertical derivative, which amplifies shallow-source anomalies. Because the SPI approach is not affected by magnetisation direction, it can provide precise depth estimates in the vicinity of this study. The studied geographic region's bedrock relief portrays an uneven geologic succession with several bedrock deformations, as indicated by results from Source parameter imaging and the Euler deconvolution method for depth estimation, due to broken bedrock and buried metal resources underlying various locations. Since the results obtained support the geology of the research area, these depth-estimating methods are highly reliable.