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- W2207987259 abstract "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." @default.
- W2207987259 created "2016-06-24" @default.
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- W2207987259 date "2015-09-06" @default.
- W2207987259 modified "2023-09-23" @default.
- W2207987259 title "Geo-steered 3D Inversion of Airborne Electromagnetic Data in Rugged Terrain" @default.
- W2207987259 doi "https://doi.org/10.3997/2214-4609.201413864" @default.
- W2207987259 hasPublicationYear "2015" @default.
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