Toward basin-agnostic well log imputation and anomaly detection via a pre-trained time-series foundation model
Interpretation of subsurface storage characterization heavily depends on the quality and continuity of well log data. However, missing measurements and anomalous responses are common due to geological heterogeneity, tool limitations, and borehole conditions. Conventional machine learning and deep le...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
KeAi Communications Co., Ltd.
2026-04-01
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| Series: | Energy Geoscience |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2666759226000193 |
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