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February 12, 2024

Advancing Efficiency in Drilling: Developing a Robust AI Model for Real-Time Bit Wear Estimation

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Authors

TLTrieu Phat LuuXHXu HuangGZGuodong Zhan

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Cite This Study

Luu et al. (2024) studied this question.

synapsesocial.com/papers/68e796e3b6db643587707fa4https://doi.org/10.2523/iptc-23754-ea
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Case Study: Deep Insights from Downhole Sensing Unlocks Extended Bit Footage for Economic Drilling of Vibration Prone Abrasive Sandstones in Central USA2024 · 7 citations
  2. 2The Benefit of In-Bit Sensing for Efficient Drilling of Deep Reach Lateral Wells in HFTO Prone Interbedded Abrasive Lithologies in North America Land2024 · 10 citations
  3. 3Effects of Thermal and Mechanical Loading on PDC Bit Life1986 · 81 citations
  4. 4Artificial Neural Network Drilling Parameter Optimization System Improves ROP by Predicting/Managing Bit Wear2012 · 67 citations