We present an image-guided regularization inversion method for marine controlled-source electromagnetic data. The regularization method is that the electrical parameters have a structure similar to the geological features or the structure observed from seismic image. A classic regularization example is the roughness penalty applied by Occam’s inversion. The image-guided regularization consists of three major steps. First, the inversion mesh is conformed the geometry derived from geological image. Second, metric tensors fields are calculated from the geological image. Third, non-Euclidean distance of neighbor elements is computed to replace the spatial distance for roughness penalty. This regularization in the Occam’s inversion encourage the smoothing direction following the geological features. The neighbor cells with the similar metric tensor provide a strong model weight to smooth the resistive image. In this paper, a synthetic example proves the CSEM inversion can be improved by the image-guided regularization. In this way, an approach for incorporating seismic constraints into EM inversion is successful applied by using a non-Euclidean distance.


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