Basement depths estimation using the Euler-3D and source parameter imaging methods from the analysis of ground magnetic field data in the Niger Delta Basin

This study estimates basement depths in the Niger Delta Basin using ground magnetic field data, analysed through Euler-3D deconvolution and Source Parameter Imaging (SPI) methods. Ground magnetic data were collected with an AMC-6 High-precision Fluxgate Magnetometer across 6 dip and 14 strike profiles, alongside a tie-line. The Euler-3D deconvolution method was applied to map the depth and distribution of magnetic sources by solving Euler's homogeneity equation, while the SPI method provided an independent depth estimate using the local wavenumber approach. Both methods revealed significant basement depth variations that align with known structural features of the basin. This integrated analysis offers a robust interpretation of the subsurface architecture, enhancing the understanding of the region's geology and supporting ongoing resource exploration. The findings highlight the effectiveness of combining Euler-3D and SPI techniques for subsurface exploration in complex geological settings like the Niger Delta Basin.