Abstract
Combining different electromagnetic (EM) methods in joint inversion approaches can enhance the overall resolution power. Every method is associated with a particular sensitivity pattern. By assembling complementary patterns, subsurface imaging becomes more complete and reliable. We describe different paths to obtain multi-EM inversions. First, a joint inversion approach using finite difference forward operators is outlined that formulates the problem of minimizing the objective function using different weights for each individual method. Then we address a sequential approach using finite element methods on unstructured grids to cycle through the different EM methods iteratively. Both methods are based on a traditional parametrization using piecewise constant model parameters which may be inefficient when describing the usually rather coarse models. Therefore, we investigate wavelet-based model representations as an alternative.
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Ritter, O. et al. (2014). Three-Dimensional Multi-Scale and Multi-Method Inversion to Determine the Electrical Conductivity Distribution of the Subsurface (Multi-EM). In: Weber, M., Münch, U. (eds) Tomography of the Earth’s Crust: From Geophysical Sounding to Real-Time Monitoring. Advanced Technologies in Earth Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-04205-3_5
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DOI: https://doi.org/10.1007/978-3-319-04205-3_5
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