Interpretable machine learning model for shear wave estimation in a carbonate reservoir using LightGBM and SHAP: a case study in the Amu Darya right bank
The shear wave velocity (Vs) is significant for quantitative seismic interpretation. Although numerous studies have proved the effectiveness of the machine learning method in estimating the Vs using well-logging parameters, the real-world application is still hindered because of the black-box nature...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2023-10-01
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| Seria: | Frontiers in Earth Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.frontiersin.org/articles/10.3389/feart.2023.1217384/full |
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