Anisotropic diffusion filter for 3D full waveform inversion: application to a North Sea dataset
Résumé
Main objectives To present a regularization strategy for seismic imaging using the full waveform which naturally accounts for the structure information contained in the gradient. A comparison with a conventional Gaussian smoothing strategy on a 3D field data from the North sea emphasizes the more accurate reconstruction of the subsurface parameters.
New aspects covered The regularization strategy is based on an anisotropic diffusion filter presented in 2D at last EAGE (Madrid 2022). Here the filter is extended to 3D, a specific discretization scheme is used to ensure numerical stability, and the method is applied for the first time to a 3D field data to illustrate its interest for industry scale applications.
New aspects covered The regularization strategy is based on an anisotropic diffusion filter presented in 2D at last EAGE (Madrid 2022). Here the filter is extended to 3D, a specific discretization scheme is used to ensure numerical stability, and the method is applied for the first time to a 3D field data to illustrate its interest for industry scale applications.
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