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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.
Session Chairpersons
Serafima Schaefer - Exebenus
Ross Lowdon - SLB
  • 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, V. Ferreira Da Silva, Radix Engenharia & Software
  • 1305-1330 230793
    A Hybrid Model for the Estimation of Downhole Torsional Vibrations and Friction Coefficients
    H. YAHIA, Helmerich & Payne; F. Di Meglio, B. FIGLIUZZI, L. Gerbaud, Mines Paris, PSL University; S. Menand, M. Mahjoub, Helmerich & Payne
  • 1330-1355 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
  • 1355-1420 230684
    Reducing Chemical And Fluid Consumption During Drilling Via Quantitative Fluid Property Modelling
    J.M. Whyte, Schlumberger Cambridge Research; K.A. Houston, M-I SWACO; A. Ellerington, University of Bath