Skip to main content
Loading

Drilling Automation & Real-Time Operations

Monday, 20 October
Room 322
Technical Session
The oil and gas industry is rapidly exploring, developing, and deploying new autonomous drilling technologies; examples are the gains made on automated slide drilling and hole cleaning. Progress made on the interoperability of multiple systems will also be discussed, including new developments toward well integrity and equipment health monitoring. Last, real-time centers have become a significant part of the automation effort, and several papers in this session highlight the recent progress made in how to best use these resources. "The best way to predict the future is to create it." (Peter Drucker), please come help us do that.
Session Chairpersons
Hossam Gharib - Stream-Flo Industries Ltd.
Paul Pastusek - Pastusek and Associates LLC
Jie Cao - EDRILLING
  • 1400-1425 227896
    Enhancing Automated Sliding Performance Through the Integration of Physics Models and Machine Learning Algorithms
    M. Summersgill, J. Xu, A. Jamieson, T. Chen, S. Menand, M. Mahjoub, A. McGregor, J. Cantwell, P. Landrio, P. Landrio, Helmerich & Payne
  • 1425-1450 227941
    Field Testing of an Automated System for Hole Cleaning and Wellbore Stability Monitoring and Management
    A.C. Montes, S. Callerio, A. Safarov, A. Bui, M. Bruce, M. Alalwan, P. Ashok, E. van Oort, The University of Texas At Austin; T. Dahl, J. Macpherson, Baker Hughes
  • 1450-1515 228111
    An Accurate Yet Simple Method to Estimate Caving Volume for Real-Time Drilling Operations
    Y. Kang, Halliburton Energy Services Group; R. Samuel, Halliburton; T. Burak, University of Oklahoma
  • 1545-1610 228113
    Towards Seamless Interoperability: Verification and Validation of Drilling Automation Features in a Controlled Environment
    P. Arevalo, J. Koeneke, F. Schuberth, S. Wessling, D. Dashevskiy, Baker Hughes; M. Lien, S. Hovda, Equinor ASA; M. Ørevik, NOV Rig Technologies
  • 1610-1635 228010
    Real-time Mud Pump Fluid End Health Monitoring Through Multi-metric Analysis Of High-frequency Pressure Data
    B. Reinoso, R. Lakkaraju, S. Boone, Nabors Industries
  • 1635-1700 228095
    Real-Time, Data-Driven Cuttings Concentration Estimation Across a Wide Range of Drilling Conditions
    H. Jing, University of Tulsa; J. Wang, NOV Inc.; E. Ozbayoglu, S. Baldino, University of Tulsa
  • Alternate 228188
    Slide Drilling Automation System Optimizes ROP to Achieve Desired Tool Face Control
    A. LaCroix, S. Maddikunta, Nabors Industries