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February 11, 2026MachinesOpen Access

Research on Recognition Method for Typical Drilling Conditions Based on Drill Bit Motion Characteristics

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Authors

HCHang ChenQWQingfeng WangMSMingyuan Sun

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Overview

Research identifies drilling conditions through bit motion characteristics, suggesting improved safety in drilling operations.

Key Points

  • This research aims to develop a method for recognizing typical drilling conditions based on drill bit motion characteristics.
  • Conducted micro-drilling experiments under various pressure and speed combinations.
  • Analyzed drilling speed, rotational speed, torque, and pressure variations during drilling.
  • Defined four typical drilling conditions: stable drilling, slowing-down drilling, intermittent jamming, and pipe sticking.
  • Selected feature indicators for recognition models based on statistical analysis of drilling data.
  • Constructed recognition models using SVM, CNN, and LSTM networks.
  • LSTM-based model achieved the highest recognition accuracy at 84%.
  • Notable 100% accuracy in identifying slowing-down drilling and intermittent jamming conditions.
  • Recognition accuracy for stable drilling was relatively low.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/698c1c46267fb587c655e979https://doi.org/10.3390/machines14020193
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