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
Paul Pastusek - Pastusek and Associates LLC
Jie Cao - EDRILLING
Hossam Gharib - Stream-Flo Industries Ltd.
  • 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, Helmerich & Payne
  • 1425-1450 227941
    Field Testing Of An Automated System For Hole Cleaning And Wellbore Stability Monitoring And Management
    A.C. Montes, A. Safarov, S. Callerio, A. Bui, M. Bruce, M. Alalwan, P. Ashok, E. van Oort, The University of Texas At Austin; J. Macpherson, T. Dahl, Baker Hughes
  • 1450-1515 228252
    Twelve Years Of Real-time Operations Evolution: Transforming Monitoring Centers For Proactive Well Integrity And Risk Mitigation In Ksa
    A.E. Dorantes, R. Ghali, Schlumberger Saudi Arabia
  • 1545-1610 228113
    Towards Seamless Interoperability: Verification And Validation Of Drilling Automation Features In A Controlled Environment
    P. Arevalo, Baker Hughes INTEQ; J. Koeneke, Baker Hughes INTEQ GMBH; F. Schuberth, D. Dashevskiy, Baker Hughes
  • 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 228111
    An Accurate Yet Simple Method To Estimate Caving Volume For Real-time Drilling Operation
    Y. Kang, Halliburton Energy Services Group; R. Samuel, Halliburton; T. Burak, University of Oklahoma
  • Alternate 228188
    Slide Drilling Automation System Optimizes Rate Of Penetration To Achieve Desired Tool Face Control
    A. LaCroix, S. Maddikunta, Nabors Industries
  • Alternate 227878
    Successful Application Of Drilling Automation In The Development Of A Drillability Rate Prediction Model
    W. Ziadat, Corva.Ai

🚨 Just Announced: 2025 Speakers! 🚨

OGS

Be the first to know who’s taking the stage at ATCE 2025.

🔹 Exclusive Updates
🔹 Industry-Leading Insights
🔹 Can’t-Miss Announcements

📩 Sign up now for ATCE updates!

GET UPDATES FOR 2025