Multidimensional inversions for electromagnetic (EM) data require regularization for stabilization. A common approach is to add some smoothness criterion, which provides stable results. The downside is that any feature will be uniformly blurred and tend to not appear geologically meaningful.

We present a 3D inversion algorithm for all types of airborne EM data featuring geo-steering. This additional regularization - based on a cross-gradient concept - is used to introduce assumed or known geological structures to the inversion. Using the additional information results in geologically more plausible models and increases the effective resolution of the inversion.

The approach is demonstrated with frequency domain field data set collected in rugged topography.


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