Summary

An automated algorithm is described that models spatially discrete anomalies in airborne EM (AEM) data sets. After determining background conductivity models with layeredearth inversions from the EM data, identified EM anomalies are modelled with magnetic and electric dipoles buried inside a layered-earth. Magnetic dipoles are appropriate models for discrete, sheet-like conductors inside a resistive host, i.e. in scenarios where vortex currents dominate, whereas electric dipoles are expected to model well elongated structures excited by current channeling. The model parameters determined from each data segment include for magnetic dipole solutions: the target conductor position, depth, dip, size and conductance, and for electric dipoles: the position, depth and conductivity-area product.

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