Dysfunction - Wellbore
Thursday, 19 March
Grand Ballroom B
Technical Session
Session Chairpersons
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1240-1305 230781Slip-to-Slip Segmentation To Improve Drilling Operational Diagnostics In Lithology Transition And Early Signs Of Mechanical Stuck Pipe Prediction
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1305-1330 230788An Advanced Computer Vision System For Quantitative Cuttings Volume And Borehole Instability Monitoring At Shale Shakers
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1330-1355 230793Physics-informed Neural Network For Estimating Downhole Torsional Vibrations And Friction Coefficients
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1355-1420 230799Opening The Black Box: Explainable Machine Learning Models For Real-time Stuck Pipe Prediction