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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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Bibliografski detalji
Glavni autori: Shadfar Davoodi, Grachik Eremyan, Amir H. Mohammedi, Mohammed Al-Shargabi, Evgeny Burnaev
Format: Artigo
Jezik:Inglês
Izdano: KeAi Communications Co., Ltd. 2026-04-01
Serija:Natural Gas Industry B
Teme:
Online pristup:http://www.sciencedirect.com/science/article/pii/S2352854026000215
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