Cave reservoir characterization method driven by GA-KPCA and geological knowledge.
This paper presents a novel method for cave reservoir characterization based on the Genetic Algorithm (GA) and Kernel Principal Component Analysis (KPCA), aimed at improving the precision of reservoir characterization through adaptive multi-attribute fusion. Sensitive seismic attributes are first ex...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2026-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | https://doi.org/10.1371/journal.pone.0344440 |
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