Clastic Rock Lithology Identification Based on Multivariate Feature Enhancement and Dynamic Confidence-Weighted Ensemble
The strong heterogeneity of clastic reservoirs and the phenomenon of similar log responses for different lithologies (i.e., “same spectrum, different rocks”) significantly weaken feature separability. Furthermore, distribution shifts between different wells cause traditional models to suffer from se...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-02-01
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| Collection: | Applied Sciences |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2076-3417/16/4/1808 |
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