Forecasting formation density from well logging data based on machine learning model
Formation density can reflect the pressure state and fluid migration of the reservoir, which is crucial for the re-development of depleted reservoirs. Although various prediction models have been developed using density inversion, the Terzaghi correction, and machine learning techniques, these model...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1530234/full |
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