Automatic interpretation of magnetic data based on Euler deconvolution with unprescribed structural index

Abstract

A tool for fully automatic magnetic data interpretation, solving Euler's homogeneity equation with unprescribed structural index and for a linear background in each moving window, is presented here. The implemented Euler deconvolution algorithm is based on the properties of the differential similarity transformation, which decouples the coordinates and the structural index of the singular point and the parameters of the linear background field. Since the deconvolution algorithm resolves the singular point locations well, this allows the application of a two stage clustering technique, focusing the estimated singular point coordinates and structural indices, followed by a statistical analysis of the final solutions. The automatic technique was tested on simple and complex 3D model magnetic anomalies. Finally, the technique was applied to real magnetic anomaly data from the Burgas region and the adjoining Black Sea shelf of Bulgaria. The tool consists of two main functions, written in Matlab v.5.3, requiring Matlab's SPLINE and STATISTICS toolkits.