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18 Digital Transformation

Wednesday, 8 March
Lysefjorden B
Technical Session
There is a continuous effort in our industry to conduct safe, sober and efficient drilling operations. The digitalisation of information, processes and technologies participate to this objective and paves the way for fully autonomous systems and operations. With significant contributions, this session addresses this challenge in dealing with the automated detection of anomalies, failures, risks and the automated collection, reporting and analysis of data from operations and equipment. The technical advances presented contribute to the enforcement of better standards, the reduction of risks and NPT, and the increase in the overall drilling performance.
Session Chairperson(s)
Isabel Poletzky - Weatherford
Gilles Pelfrene - NORCE Norwegian Research Centre AS
  • 1545-1615 212564
    Field Validation of Scalable Condition-based Maintenance (CBM) of Mud Pumps
    D. Yoon, P. Ashok, E. van Oort, The University of Texas at Austin; P. Annaiyappa, Nabors Industries; S. Abe, Japan Organization for Metals and Energy Security (JOGMEC)
  • 1615-1645 212464
    Automated Offsets for Drill Bit Performance Evaluation, Analysis, and Monitoring At-Scale
    G. Skoff, D. Fink, A. Poor, O. Gjertsen, P. Wolfram, R. Santana, R.J. Ford, SLB
  • 1645-1715 212458
    Automatic Drill Bit Dull Grading Report Generation to Address the Revised IADC Dull Grading Schema
    J. Chu, P. Ashok, D. Chen, E. van Oort, The University of Texas at Austin
  • Alternate 212503
    Automatic Classification of PDC Cutter Damage Using a Single Deep Learning Neural Network Model
    A. Ali, Memorial University of Newfoundland, College of Electronic Technology-Tripoli; H. Singh, D. Kelly, Memorial University of Newfoundland; D. Hender, IPCOS, Memorial University of Newfoundland; A. Clarke, ACBBtech; M.M. Ghiasi, R. Haynes, L.A. James, Memorial University of Newfoundland