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Dysfunction - Wellbore

Thursday, 19 March
Grand Ballroom B
Technical Session
Session Chairpersons
Serafima Schaefer - Exebenus
  • 1240-1305 230781
    Slip-to-Slip Segmentation To Improve Drilling Operational Diagnostics In Lithology Transition And Early Signs Of Mechanical Stuck Pipe Prediction
    J. Santos, Radix Engenharia & Software; G. Payette, Exxon Mobil Corporation; L. Vechi, B. Deon, A. Junior, B. Machado, K. Cotta, W. Rodrigues, G. Alves, C. Batista, H. Carminati, Radix Engenharia & Software
  • 1305-1330 230788
    An Advanced Computer Vision System For Quantitative Cuttings Volume And Borehole Instability Monitoring At Shale Shakers
    M. Ruggiero, Geolog Technologies SRL; F. De Smedt, Robovision; I. Colombo, Geolog Technologies SRL
  • 1330-1355 230793
    Physics-informed Neural Network For Estimating Downhole Torsional Vibrations And Friction Coefficients
    H. YAHIA, Helmerich & Payne; F. Di Meglio, B. FIGLIUZZI, Mines Paris, PSL University; L. Gerbaud, Mines ParisTech; S. Menand, M. Mahjoub, Helmerich & Payne
  • 1355-1420 230799
    Opening The Black Box: Explainable Machine Learning Models For Real-time Stuck Pipe Prediction
    S. Yalamarty, K. Sun, C. Cheatham, A. Salehi, J. Rafiee, Corva