A Comparison of Three Automatic Interpretation Techniques for Magnetic and Gravity Data

We compare three automatic methods for interpretation of magnetic and gravity data grids: MaGSoundDST (Magnetic and Gravity Sounding based on the Differential Similarity Transform), MaGSoundFDST(Magnetic and Gravity Sounding based on the Finite Difference Similarity Transform) and DST Euler (Euler deconvolution based on the DST). The methods are window-based but produce a single solution per source. They account for the presence of linear background in the data and do not require reduction-to-the-pole in the magnetic data case. MaGSoundFDST requires only measured and upward-continued data, while MaGSoundDST and DST Euler use measured data and first-order derivatives. We applied the methods to a vertical component data grid from the Bolyarovo-Voden magnetic anomalous zone, southeast Bulgaria. MaGSoundFDST performed best in detecting the deeper central parts of sources that almost crop out on the surface.