We present a new joint inversion approach that allows for a combined inversion of independent physical parameters by exchanging structural information. The technique is based on the ideas of robust modeling. Occurring gradients of one parameter facilitate the development of gradients in the other but does not enforce this. In the presence of boundaries that can be seen by both methods it leads to sharp contrasted models. Finally, a combined image of the subsurface is obtained by cluster analysis. The technique is applied to the inversion of dc resistivity and seismic refraction data. Two synthetic data sets show how different boundary types are resolved with and without structural coupling. It is demonstrated how the quality of the inversion results is improved by the new approach.
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Günther et al. (2006) studied this question.