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Digital Transformation in Offshore Oil & Gas: Leveraging AI, Digital Twins, and Automation for Enhanced Operations

Thursday, 8 May
600
Technical Session
Dive into the future of offshore oil and gas operations with our session on digital transformation. Discover how digital twins are revolutionizing key processes like artificial lift and asset management, with insights from comprehensive digital twins built thus far. Learn about the automation of operations and the cutting-edge use of AI for early event prediction, such as foaming and equipment failure. Explore the advancements in unmanned facilities and the strategic selection of wells for corrosion logging. This session is designed to captivate professionals across all disciplines, offering a glimpse into the innovative technologies driving efficiency and reliability in offshore projects.
Session Chairpersons
Mariela Araujo Fresky - Shell Exploration & Production Company
Changwon Son - Texas Tech University
  • 0930-0948 35657
    Digital Twin Innovations In Artificial Lift And Flow Assurance: Overcoming Brazilian Offshore Challenges
    R.P. Resende, J.C. Araujo, J. Lins Ribeiro, A. Melo, T.G. Perovano, A. Del Puppo, J. Ciambelli, L.K. Miyatake, A. Postal, R. Mendes, H. Curto, L. Dalla, Petrobras
  • 0950-1008 35917
    AI-powered Solution For The Early Prediction Of Foaming Events In Amine Treatment Units
    F. Al Alobaidi, M. Jaber, M. Alshahrani, Saudi Aramco
  • 1010-1028 35605
    Predicting Gas Lift Equipment Failure With Deep Learning Techniques
    J. Arukhe, Saudi Aramco NAOO; A. Anazi, Saudi Aramco; K.A. Al-Ghamdi, Saudi Aramco NAOO
  • 1030-1048 35949
    Automated Inspection And Equipment Management For Ship Surveying Using AI Video Processing
    P. Koola, Texas A&M University
  • 1050-1108 35588
    Data Driven Shear-sonic Log Synthesis For In-situ Caprock And Carbonate Reservoirs In Malaysian Fields
    M. Bin Che Mat, PETRONAS Research SDN BHD (PRSB)
  • 1110-1128 35981
    Balancing Early Value Creation With Long-term r&d Decisions: Lessons From Robotics Innovation
    D. Russo Juliano, Shell; R. Doak, Shell International Ltd.
  • 1130-1148 35721
    Unmanned Offshore Platforms In The Gulf Of Mexico With Ai, Iot Scada Reduces Cost And Increase Productivity
    C. Mejia, Enovate Ai
  • Alternate 35558
    Reservoir Properties Prediction From Well Logs Data Using Supervised Machine Learning Algorithms, Random Forest In Malaysia Fields
    M. Bin Che Mat, PETRONAS Research SDN BHD (PRSB)
  • Alternate 35705
    Optimizing Marine Systems: A No-Code Tool For The Digital Transformation Of Ever-Evolving Processes
    L. Lino, T. Lôbo, C. Carneiro, G. Freitas, D. Ferreira Da Silva, E. Silveira, Laboratory of Scientific Computing and Visualization (LCCV/UFAL); I. Jablausky, PETROBRAS/SRGE; A. De Sosa Lima, PETROBRAS/CENPES
  • Alternate 35854
    Advancing Multiphase Flow Prediction In Pipes Through Physics-regularized Neural Network
    J.E. Omeke, Texas A&M University

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