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Artificial Intelligence and Digital Workflows Driving Real-Time Offshore Operations and Asset Integrity

Thursday, 7 May
Room 600
Technical Session
This session explores how AI and digital technologies are redefining offshore operations and asset integrity. Topics include real-time event recognition in wells, trajectory automation for unconventional drilling, and machine learning–based production rate estimation. Additional papers showcase predictive pipeline integrity management, AI-enhanced compression systems, and scalable digital twin workflows for subsea robotics. A patent-pending real-time drilling advisory system and innovative sonar-based 3D reconstruction further highlight how intelligent data solutions are driving operational efficiency. Collectively, these presentations demonstrate how artificial intelligence and automation are shaping the future of offshore performance, safety, and decision-making.
Chairperson(s)
Yani Araujo De Itriago, Program Manager EOR and Flow Assurance - Intertek Group PLC
Norman Carnahan, Chief Technology Officer - Applied Molecular Thermodynamics
  • 1400-1418 36929
    Real-time Recognition Of Operational Events In Oil Wells Using U-net Segmentation And Distance-based Classification
    L. Lopes, T. Vieira, I. Oliveira, A. Silva, E. Lima Junior, W. Lira, Federal University of Alagoas; R. Vargas, P. Aranha, Petrobras
  • 1420-1438 37225
    The Latest Advances In Downhole Trajectory Automation And Application To U-turn Drilling And Unconventional Wells
    M. Ignova, E. Brovko, SLB; H. Elsaadi, Schlumberger D&M; N. Swanson, S. Oluwadare, SLB; V. Marquinez, Schlumberger D&M; M. Jones, SLB
  • 1440-1458 36760
    Real-time Estimation Of Production Rate In Gas-condensate Wells Using Machine Learning-based Model
    K. Raslan, Shell - BaPetco; H. Elnaggar, University of Wyoming; O. Elagab, Stevens Institute of Technology; A. Shahin, Texas Tech University
  • 1500-1518 36804
    Drill Brain: A Patent-Pending Real Time Advisory Platform Transforming Drilling Through Intelligent Data-Driven Solutions
    A. Al Hai, O. Chammout, M. Saad, A. Elbagoury, ADNOC Onshore
  • 1520-1538 36769
    A Unified Framework For Predictive Pipeline Integrity Management Through Ai-driven Engineering Assessment
    D. Sarmiento, M. Arévalo, J. Vergel, Royal Integrity SAS
  • 1540-1558 36756
    The Smart Compression Frontier: Real-Time AI Unlocks Hidden Production Potential
    D.I. Cantor Alvarez, Bapco Upstream
  • 1600-1618 36830
    Advanced Oil Field Development: A Deep Reinforcement Learning Approach With Reservoir-invariant Transfer Learning
    E. Ikponmwoba, Louisiana State University; Y. Falola, Halliburton; G. Nair, Halliburton International Inc; J. Toms, Halliburton
  • Alternate 36982
    Novel View Synthesis And 3D Reconstruction Using Low-Cost Forward-Looking Multibeam Sonar
    P. Chan, P.M. Koola, Texas A&M University
  • Alternate 37093
    Scalable Digital Twin Workflows With Subsea Robotics For Offshore Integrity Management
    S. Brown, Deep Trekker Inc.
  • Alternate 36988
    AI Strategies In Well Construction And Abandonment: Design, Operations, And Integrity In Brazilian Offshore Fields
    V.B. Sabbagh, D.M. Paes, M.N. Grimberg, C.E. Agostini, S. Perrout, A.C. Ramos Junior, D. Colombo, A. Fernandes, S.A. Barcelos, Petrobras

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