IADC/SPE International Drilling Conference and Exhibition
Optimizing Drilling Efficiency by Prompt Digital Insights
Thursday, 19 March
Grand Ballroom B
Technical Session
Early prediction of stuck pipe, timely identification of downhole parameters and monitoring of borehole stability help to reduce invisible lost time and drilling costs. This session explores all of these themes providing the methodology to provide actionable digital insights to optimize drilling operations.
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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