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June 23, 202450th U.S. Rock Mechanics/Geomechanics Symposium

Machine Learning-Based Drill Bit Wear Prediction for Enhanced Drilling Performance

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Authors

HKH. Ezzat KhalifaOTOlusegun Stanley TomomewoBDBachir Doghmane

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Cite This Study

Khalifa et al. (2024) studied this question.

synapsesocial.com/papers/68e63ae7b6db6435875ccb5ahttps://doi.org/10.56952/arma-2024-0916
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advancing Efficiency in Drilling: Developing a Robust AI Model for Real-Time Bit Wear Estimation2024 · 6 citations
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  4. 4Transforming Oil Well Drilling: Prediction of Real-Time Rate of Penetration with Novel Machine Learning Approach in Varied Lithological Formations2024 · 4 citations
  5. 5Predicting Drill Bit Footage Method Based on PSO-WNN2025