AI RESEARCH
Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs
arXiv CS.CV
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ArXi:2604.16011v1 Announce Type: new Borehole breakouts are stress-induced spalling on the borehole wall, which are identifiable in acoustic image logs as paired zones with near-symmetry azimuths, low acoustic amplitudes, and increased borehole radius. Accurate breakout characterization is crucial for in-situ stress analysis. In recent years, deep learning has been