Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning
The clogging of porous media with solid particle suspension flow is modeled using two empirical parameters of filtration coefficient (λ) and formation damage coefficient (β). These parameters are typically determined through coreflood tests. This study employs machine learning techniques to predict...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025006231 |
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