Regionalresidual separation in the context of aeromagnetic data is a data processing technique used to separate the observed magnetic field into two main components: the regional component and the residual component. The separation is commonly employed to distinguish and isolate geological information of interest from background magnetic variations caused by regional geological structures and other sources. The process of regionalresidual separation involves mathematical techniques, such as filtering or mathematical modeling, to extract the residual component from the observed magnetic data. Once separated, the residual component can be analyzed and interpreted to identify and locate geological features of interest, such as ore bodies, faults, or geological boundaries.
RegionalResidual separation is a critical step in the interpretation of aeromagnetic data for geological and mineral exploration purposes, as it helps geoscientists focus on the smallerscale anomalies that may indicate valuable geological resources. This tutorial has implemented the “Polynomial method”, also known as polynomial trend surface analysis or polynomial regression. The Polynomial method is a mathematical technique which involves fitting a polynomial equation to the aeromagnetic data to describe and visualize the trend or surface within the data.