Machine-learning models for classification of mudcake thickness in oil-based drilling fluids
The performance of oil-based drilling fluids (OBDFs) is critical for maintaining drilling efficiency under conditions in which water-based fluids fail to perform effectively. Mudcake or filtercake thickness (MCT) is a key property of OBDFs because it directly influences wellbore stability and the ex...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
KeAi Communications Co., Ltd.
2026-04-01
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| Schriftenreihe: | Natural Gas Industry B |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2352854026000215 |
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