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Lithology identification based on drill-bit vibration signals and automated feature extraction for deep-sea drilling | Synapse
March 3, 2026
Lithology identification based on drill-bit vibration signals and automated feature extraction for deep-sea drilling
CZ
Cong Zhang
FZ
Feifei Zhang
China General Nuclear Power Corporation (China)
FP
Fengjia Peng
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Puntos clave
Lithology identification is achieved through automated feature extraction from drill-bit vibration signals.
Approximately 85% accuracy was obtained in distinguishing between different lithologies during deep-sea drilling.
Analysis involved advanced signal processing techniques applied to the vibration data collected from drill bits.
Potentially enables more precise drilling decisions, reducing costs and improving efficiency in deep-sea exploration.
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Cite This Study
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Zhang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a7670bbadf0bb9e87df682
https://doi.org/https://doi.org/10.1016/j.oceaneng.2026.124465