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21 Machine Learning Enabled Processes

Thursday, 9 March
Lysefjorden B
Technical Session
Session Chairperson(s)
Mohammadreza Kamyab - Corva
Øystein Arild - University of Stavanger
  • 0900-0930 212502
    While-Drilling Pore Pressure Surveillance Using Machine Learning
    R. Raman, ExxonMobil Services and Technology Pvt. Ltd; B.J. Spivey, ExxonMobil Technology and Engineering Company; R.J. Fink, S.L. Karner, ExxonMobil Upstream Company
  • 0930-1000 212479
    Improve Well Integrity Using an Annular Barrier AI Tool
    E. Time, E. Berg, S. Mishra, Equinor
  • 1000-1030 212446
    Apples To Apples: Impartial Assessment of Drilling Technologies Through Big Data and Machine Learning
    D. Khvostichenko, M-I SWACO; G. Skoff, Y.I. Arevalo, S.M. Makarychev-Mikhailov, Schlumberger
  • Alternate 212559
    Machine Learning-Based Drilling System Recommender: Towards Optimal BHA and Fluid Technology Selection
    G. Skoff, F. Mahfoudh, C. Jeong, S.M. Makarychev-Mikhailov, O. Petryshak, V. Vesselinov, C. Chatar, SLB; V. Bondale, M. Devadas, Pluto7
  • Alternate 212481
    Automated Detection of Rig Events From Real-time Surface Data Using Spectral Analysis and Machine Learning
    T.S. Robinson, O.E. Revheim, Exebenus