Nonlocal response functions: application to processing BEAR data

It has been suggested that regional array MTS data be processed with an algorithm based on the nonlocal response of laterally heterogeneous subsurface to an arbitrary electromagnetic excitation. The algorithm is tested with synthetic models which show that the inversion quality can be improved by accumulation of information through repeated measurements, at either changing or fixed array configurations. Besides the array configuration, the inversion quality depends on the selected size of the survey area. The choice of the area size defines the inversion conditions in terms of choice between the magnetic and electric mode for correlation of electromagnetic potentials. The algorithm has been applied to data acquired during the BEAR Project in the Fennoscandian shield. Preliminary results indicate a spatial correlation between conductivity minimums and Moho depth maximums. The apparent resistivity maps obtained with the suggested algorithm highlight the boundaries between the Lapland–Kola, Karelia, and Svecofennia tectonic provinces.