Dimensionless data-driven model for optimizing hole cleaning efficiency in daily drilling operations
Published 2021 View Full Article
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Title
Dimensionless data-driven model for optimizing hole cleaning efficiency in daily drilling operations
Authors
Keywords
Cuttings transport, Hole cleaning optimization, Cuttings concentration estimation, Data-driven model
Journal
Journal of Natural Gas Science and Engineering
Volume 96, Issue -, Pages 104315
Publisher
Elsevier BV
Online
2021-10-29
DOI
10.1016/j.jngse.2021.104315
References
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Related references
Note: Only part of the references are listed.- Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models
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- (2019) Soham Pandya et al. SPE DRILLING & COMPLETION
- Cuttings Transport Modeling—Part 2: Dimensional Analysis and Scaling
- (2019) Alexander Busch et al. SPE DRILLING & COMPLETION
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- (2018) Alap Ali Zahid et al. Frontiers in Energy
- Investigating the impact of drillpipe's rotation and eccentricity on cuttings transport phenomenon in various horizontal annuluses using computational fluid dynamics (CFD)
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- CFD simulation of viscosity modifier effect on cutting transport by oil based drilling fluid in wellbore
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- Experimental investigation of solids transport in horizontal concentric annuli using water and drag reducing polymer-based fluids
- (2016) Payam Allahvirdizadeh et al. Journal of Natural Gas Science and Engineering
- Critical Fluid Velocities for Removing Cuttings Bed Inside Horizontal and Deviated Wells
- (2010) M. E. Ozbayoglu et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Experimental Study and Modeling of Cuttings Transport Using Foam With Drillpipe Rotation
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- Solid–liquid hydrodynamics in a slim hole drilling annulus
- (2009) Sang-Mok Han et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Transport of Small Cuttings in Extended-Reach Drilling
- (2008) Mingqin Duan et al. SPE DRILLING & COMPLETION
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