Laterally constrained inversion (LCI) of multi-configuration EMI data with tunable sharpness

Frequency-domain electromagnetic (FDEM) data are commonly inverted to characterize subsurface geoelectrical properties using smoothness constraints in 1D inversion schemes assuming a layered medium. Smoothness suitable for imaging gradual transitions of caused, example, by varying sand, clay, or fluid content. However, such approaches limited characterizing sharp interfaces. Alternative regularizations based on the minimum gradient support (MGS) stabilizers can, instead, be used promote results with different levels smoothness/sharpness selected simply acting so-called focusing parameter. The MGS regularization has been implemented kinds geophysical strategies. concerning FDEM data, only vertically constrained (VCI) but not laterally (LCI) approaches. We present novel LCI approach vertical and lateral direction. Using synthetic field examples, we demonstrate that our can efficiently automatically provide set model solutions characterized sharpness variable consistencies. In terms misfit, obtained contains equivalent models allowing us also investigate non-uniqueness inversion.