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International Drilling Conference and Exhibition 2023  SPE/IADC International Drilling Conference and Exhibition
  4-6 March 2025 | Forum Expo, Stavanger, Norway

International Drilling Conference and Exhibition 2023       Host Organisation:Equinor

 

2025 Technical Programme

 

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Drilling Dynamics

Wednesday, 5 March
Room 4
Technical Session
Successful execution of well construction programs requires a deep understanding of the dynamics of the drilling process. Tremendous opportunities remain to improve upon existing industry know-how through integration of modeling with real-time data, finding innovative ways to apply or simplify models, managing the stability of rig control systems and clarifying understanding of well-known concepts such as Mechanical Specific Energy. Join the session to explore and discuss these innovative approaches with our authors.
Chairperson
Gregory Payette - ExxonMobil Corporation
Serafima Schaefer - Exebenus
  • 1045-1110 223722
    Model of Rotary Drilling Dynamics for Rig Automation
    z.w. whitlow, Helmerich and Payne; B. Paikoff, Helmerich & Payne; S. Auld, S. Kern, Helmerich and Payne
  • 1110-1135 223707
    Mechanical Specific Energy: Derivation, Understanding and Relationship to Formation Strength
    J. Macpherson, Baker Hughes
  • 1135-1200 223721
    Digitalization of Connection Practices to Prevent Transient Drilling Dysfunctions
    D. Li, Y. Shen, K. Hoe Tang, W. Chen, Z. Zhang, SLB; C. Al Jarad, Schlumberger Cambridge Research; A. Simon, J. Converset, SLB
  • 1200-1225 223700
    A Case Study on Setting Up An Auto-driller to Prevent Instability
    K. Chhantyal, A.G. Padir, National Oilwell Varco
  • Alternate 223729
    From Data to Impact: Lessons Learned in Leveraging Digitalization and Machine Learning to Boost Operational Efficiency and ESG Performance in Drilling Rigs
    S. Poludasu, S. Hidad, A. Groh, A. Godumagadda, M. Snijder Van Wissenkerke, J. Harrist, Patterson-UTI Drilling Company
  • Alternate 223730
    Comparison of Supervised and Unsupervised Machine Learning for well-log depth Alignment
    S. Acharya, Norwegian University of Science & Technology; K. Fabian, Norwegian University of Science & Technology, Trondheim; K. Westeng, Aker BP ASA, Oslo
  • Alternate 223732
    Real-Time Downhole RPM Range Prediction for Improved Stick-Slip Detection Using Ensemble Machine Learning
    M. Zhang, M.E. Kaya, N. Habib, A. Groh, A. Small, Y. Xue, Patterson-UTI Drilling Company LLC; J. Walthall, MS Directional, LLC
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