Digital superresolution in seismic amplitude processing
We describe a method for geophysical inversion of seismic amplitude data, we argue that this type of inversion is a natural extension of the processing flow. The methodology is related to digital image-video restoration and single image superresolution. It formulates the inverse problem in term of a...
| Published in: | SEG Technical Program Expanded Abstracts 2019 |
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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Society of Exploration Geophysicists
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10852/74471 http://urn.nb.no/URN:NBN:no-77576 https://doi.org/10.1190/segam2019-3214317.1 |
| Summary: | We describe a method for geophysical inversion of seismic amplitude data, we argue that this type of inversion is a natural extension of the processing flow. The methodology is related to digital image-video restoration and single image superresolution. It formulates the inverse problem in term of a regularization and solve it by an augmented Lagrangian approach. It can be seen as an extension of 1D sparse spike inversion to 3D. The approach impose weak geological constraints through the gradient of the earth parameter and is thus particular useful in the exploration setting, and regions with little well control. We test three different regularizations in a synthetic example, and show how this is used for a data set acquired in the Barents sea. We find that the anisotropic total variation regularizer is robust and efficient when it comes to restoring earth models, and outperform the weighted L2 norm when it comes to reproducing discontinuities along smooth edges. |
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