Concurrent estimation of seismic reflectivity and Q by using an optimal dictionary learning method Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/feart.2023.1121956
The seismic reflectivity and quality factor Q play an important role in seismic processing and interpretation, such as improving the resolution of seismic data and enhancing the reservoir identification. Most methods estimate seismic reflectivity and Q separately. However, the error of Q model has a negative impact on the reflectivity estimation and the interference of reflectivity makes Q estimates less reliable. In this paper, we propose a new method for concurrent estimation of seismic reflectivity and Q by using optimal dictionary learning. This new method first constructs a complete dictionary based on the non-stationary convolution model, then computes the reflectivity series under different dictionary matrices with the corresponding referencing Q values, and finally selects the optimal dictionary matrix by comprehensively analyzing the residual and reflectivity sparsity so as to obtain seismic reflectivity and Q simultaneously. The results of synthetic and real data examples test confirm the effectiveness of the proposed method. The proposed method provides accurate estimation of seismic reflectivity and Q , improves the vertical resolution without losing weak events and offers more accurate information concerning stratigraphic features in great details.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/feart.2023.1121956
- https://www.frontiersin.org/articles/10.3389/feart.2023.1121956/pdf
- OA Status
- gold
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4317387948
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4317387948Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/feart.2023.1121956Digital Object Identifier
- Title
-
Concurrent estimation of seismic reflectivity and Q by using an optimal dictionary learning methodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-19Full publication date if available
- Authors
-
Hongyong Yan, Yu Hui, Teng XuList of authors in order
- Landing page
-
https://doi.org/10.3389/feart.2023.1121956Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/feart.2023.1121956/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/feart.2023.1121956/pdfDirect OA link when available
- Concepts
-
Reflectivity, Computer science, Interference (communication), Inference, Convolution (computer science), Matrix (chemical analysis), Algorithm, Quality (philosophy), Interpretation (philosophy), Remote sensing, Geology, Artificial intelligence, Optics, Materials science, Telecommunications, Artificial neural network, Epistemology, Philosophy, Composite material, Channel (broadcasting), Programming language, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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