Smooth and sparse inversion of EMI data from multi-configuration measurements

Gian Piero Deidda;Patricia Díaz De Alba;Giuseppe Rodriguez

;Giulio Vignoli.

2018-01-01

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Abstract

In this study, we deal with the inversion of frequency-domain electromagnetic data collected with devices with different configurations (varying inter-coil spacing, frequency, height from the ground). More specifically, we present the results of the application of a Gauss-Newton inversion algorithm based on a non-linear forward model onto several synthetic resistivity and magnetic permeability vertical profiles. In addition, we shortly discuss the inclusion into this inversion scheme of a quite novel stabilizing term, based on minimum (gradient) support, and promoting sparse reconstructions. We demonstrate the effectiveness of this sparse inversion algorithm on synthetic and real datasets.