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...
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ftoslouniv:oai:www.duo.uio.no:10852/74471 2023-05-15T15:38:52+02:00 Digital superresolution in seismic amplitude processing Kolbjørnsen, Odd Evensen, Andreas Kjelsrud 2019-10-16T13:14:25Z http://hdl.handle.net/10852/74471 http://urn.nb.no/URN:NBN:no-77576 https://doi.org/10.1190/segam2019-3214317.1 EN eng Society of Exploration Geophysicists http://urn.nb.no/URN:NBN:no-77576 Kolbjørnsen, Odd Evensen, Andreas Kjelsrud . Digital superresolution in seismic amplitude processing. SEG technical program expanded abstracts. 2019 http://hdl.handle.net/10852/74471 1737584 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SEG technical program expanded abstracts&rft.volume=&rft.spage=&rft.date=2019 SEG technical program expanded abstracts 579 584 https://doi.org/10.1190/segam2019-3214317.1 URN:NBN:no-77576 Fulltext https://www.duo.uio.no/bitstream/handle/10852/74471/1/segam2019-3214317.1_Andreas.pdf 1949-4645 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2019 ftoslouniv https://doi.org/10.1190/segam2019-3214317.1 2020-06-21T08:54:00Z 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. Article in Journal/Newspaper Barents Sea Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Barents Sea SEG Technical Program Expanded Abstracts 2019 579 584 |
institution |
Open Polar |
collection |
Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
op_collection_id |
ftoslouniv |
language |
English |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Kolbjørnsen, Odd Evensen, Andreas Kjelsrud |
spellingShingle |
Kolbjørnsen, Odd Evensen, Andreas Kjelsrud Digital superresolution in seismic amplitude processing |
author_facet |
Kolbjørnsen, Odd Evensen, Andreas Kjelsrud |
author_sort |
Kolbjørnsen, Odd |
title |
Digital superresolution in seismic amplitude processing |
title_short |
Digital superresolution in seismic amplitude processing |
title_full |
Digital superresolution in seismic amplitude processing |
title_fullStr |
Digital superresolution in seismic amplitude processing |
title_full_unstemmed |
Digital superresolution in seismic amplitude processing |
title_sort |
digital superresolution in seismic amplitude processing |
publisher |
Society of Exploration Geophysicists |
publishDate |
2019 |
url |
http://hdl.handle.net/10852/74471 http://urn.nb.no/URN:NBN:no-77576 https://doi.org/10.1190/segam2019-3214317.1 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
1949-4645 |
op_relation |
http://urn.nb.no/URN:NBN:no-77576 Kolbjørnsen, Odd Evensen, Andreas Kjelsrud . Digital superresolution in seismic amplitude processing. SEG technical program expanded abstracts. 2019 http://hdl.handle.net/10852/74471 1737584 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SEG technical program expanded abstracts&rft.volume=&rft.spage=&rft.date=2019 SEG technical program expanded abstracts 579 584 https://doi.org/10.1190/segam2019-3214317.1 URN:NBN:no-77576 Fulltext https://www.duo.uio.no/bitstream/handle/10852/74471/1/segam2019-3214317.1_Andreas.pdf |
op_doi |
https://doi.org/10.1190/segam2019-3214317.1 |
container_title |
SEG Technical Program Expanded Abstracts 2019 |
container_start_page |
579 |
op_container_end_page |
584 |
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1766370274158051328 |