Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data Article Swipe
Jesper Dramsch
,
G. Côrte
,
Hamed Amini
,
Mikael Lüthje
,
Colin MacBeth
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.31223/osf.io/zytp2
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.31223/osf.io/zytp2
In this work we present a deep neural network inversion on map-based 4D seismic data for pressure and saturation. We present a novel neural network architecture that trains on synthetic data and provides insights into observed field seismic. The network explicitly includes AVO gradient calculation within the network as physical knowledge to stabilize pressure and saturation changes separation. We apply the method to Schiehallion field data and go on to compare the results to Bayesian inversion results. Despite not using convolutional neural networks for spatial information, we produce maps with good signal to noise ratio and coherency.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31223/osf.io/zytp2
- http://eartharxiv.org/repository/object/1022/download/2273/
- OA Status
- gold
- Cited By
- 6
- References
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4239599202
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4239599202Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31223/osf.io/zytp2Digital Object Identifier
- Title
-
Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea DataWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-02-21Full publication date if available
- Authors
-
Jesper Dramsch, G. Côrte, Hamed Amini, Mikael Lüthje, Colin MacBethList of authors in order
- Landing page
-
https://doi.org/10.31223/osf.io/zytp2Publisher landing page
- PDF URL
-
https://eartharxiv.org/repository/object/1022/download/2273/Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://eartharxiv.org/repository/object/1022/download/2273/Direct OA link when available
- Concepts
-
Inversion (geology), Geology, Bayesian probability, Saturation (graph theory), Algorithm, Geophysics, Artificial intelligence, Computer science, Mathematics, Seismology, Combinatorics, TectonicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2021: 1, 2020: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
2Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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