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AI-Driven Drilling: Providing Insights and Unlocking Performance

Tuesday, 21 October
Room 322
Technical Session
The drilling industry is rapidly evolving with the integration of Artificial Intelligence (AI) and Machine Learning (ML), enabling autonomous systems, real-time decision-making, and enhanced drilling performance. This session will explore the latest advancements in AI applications across the well life cycle, including autonomous drilling, geosteering, drill bit wear assessment, lost circulation prediction, and hybrid AI-physics modeling. Cutting-edge research on AI-driven drilling optimization, continuous learning algorithms, and intelligent data management frameworks will be presented. Attendees will gain insights into how AI is shaping the future of drilling, unlocking new levels of efficiency, safety, and precision.
Session Chairpersons
Farouk Boukredera - Sonatrach Group
Alfred Tchagop - slb
Paul Pastusek - Independent
  • 0830-0855 227955
    First Global Deepwater Autonomous Drilling Project - Artificial Intelligence Application To Derive Optimal Drilling Parameters Within Integration Of Rig Orchestration System
    S. Spagnolo, ENI
  • 0855-0920 228168
    Drilling Health-driven Performance With Physics And AI At The Edge
    R. Gandikota, N. Chennoufi, Nabors Drilling Services; R. Carvalho, Nabors Drilling Solutions; G. Fosdick, Nabors Industries
  • 0920-0945 227868
    Well Life Cycle Data Management - From Portfolio Ranking, Design Concept Through Plug & Abandon.
    J. de Wardt, DE WARDT & CO.; M. Laing, Halliburton; M. Isbell, Hess Corp.; J. Howard, Altus Well Experts Inc.; K. Umay, Microsoft Corporation; S. Grindrod, Copsegrove Developments Ltd.; L. Metrick, Chevron Corporation
  • 1015-1040 228017
    Continuous Learning Of The Ai Drilling Agent: Benchmark Results On Autonomous Drilling And Tripping Control
    J. Cao, R. Muhammad, T. Yu, eDrilling AS
  • 1040-1105 227949
    Transformer Vs. Classical Machine Learning: Harnessing Normalization For Enhanced Asset Life Prediction
    K. Chaudhari, Prescient Devices Inc.; R. Whitney, Precision Drilling; P. Acosta, Prescient Devices Inc; A. Wang, Prescient Devices Inc.
  • 1105-1130 227947
    Hybrid AI-Physics Framework For Lost Circulation Zone Diagnosis: A Data-driven Iterative Approach Integrating Drilling-logging Big Data With Theoretical Models
    C. Lin, X. Qicong, CCDC Drilling & Production Technology Research Institute
  • Alternate 228117
    Building An Intelligent Research Assistant - Rag Isn’t All You Need
    J. Boden, J. Eckroth, i2k connect; J. Keefe, Pacific Science and Engineering; K. Myers, SRI International; E. Schoen, i2k connect; P. Sequeira, SRI International; R. Smith, i2k connect
  • Alternate 227995
    Geosteering: Continuous Surface Model Updates Using Gamma Log Data
    P. Dahle, Norwegian Computing Center
  • Alternate 228041
    Drill Bit Dull Grading Automated Damage Assessment Using U-net Semantic Segmentation
    S. Salehi, Southern Methodist University; E. Ugarte, SLB

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