Interpretation of the magnetic data from Shavaz iron ore using enhanced local wavenumber (ELW) and comparison with Euler deconvolution method

Abstract

This paper presents an inversion method for the interpretation of 2D magnetic anomaly data, in which uses the enhanced local wavenumber function to estimate the depth and the nature (structural index) of an isolated magnetic source. However, the method is sensitive to noise. In order to lower the effect of noise, I applied upward continuation technique to smooth the anomaly. Tests on synthetic noise-free and noise-corrupted magnetic data show that the method can successfully estimate the depth and the nature of the causative source. The practical application of the technique is applied to measured magnetic anomaly data from Shavaz Iron Ore, center of Iran, and the inversion results are in agreement with the inversion results from Euler deconvolution of the analytic signal and exploratory drilling.