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Drilling Mechanics & Modelling

Thursday, 7 March
Grand Ballroom A
Application of Drilling Mechanics principles continues to capture value in well construction.  The Drilling Mechanics & Modeling session will focus on recent progress that has been enabled by advances in physical modeling techniques and by using physical models to inform control system logic and to supplement data-driven machine learning algorithms to predict drilling dysfunctions.
Ysabel Witt Doerring - Halliburton
Gregory Payette - ExxonMobil Technology and Engineering Company
  • 1240-1305 217752
    Practical Challenges to Consider for Model-Based Engineering in Drilling Automation
    Z. Whitlow, Helmerich and Payne; M. Mahjoub, S. Menand, Helmerich & Payne; P. Pastusek, ExxonMobil Upstream; G.S. Payette, ExxonMobile Technology and Engineering Co; K. Nguyen, Helmerich & Payne; E. Gildin, Texas A&M University
  • 1305-1330 217756
    An Advanced Simulation Model For Drawworks And Fastline Dynamics Uncovers Risks Of Spooling Errors And Other Hazards
    A. Kyllingstad, NOV Inc.; I. Rajic, NOV; A. Krijnen, NOV Inc.
  • 1330-1355 217750
    Combining Machine-learning and Physics-based Models to Mitigate Stick-Slip in Real-Time
    H. YAHIA, Helmerich & Payne; T. ROMARY, L. GERBAUD, B. FIGLIUZZI, F. DI MEGLIO, Mines Paris - PSL; S. MENAND, M. MAHJOUB, Helmerich & Payne
  • 1355-1420 217755
    To What Extent Can the Notion of an Effective Length Be Reliable to Assess the BHA Lateral Behavior?
    M. Mahjoub, N. Dao, K. Nguyen, S. Menand, Helmerich & Payne