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Machine Learning and AI Applications I

Tuesday, 23 June
Room 2
Technical Session
  • 1100-1120 233162
    Employing Machine Learning For Temperature Integrated Modelling Of Complex Fractured Reservoirs
    T. Kaminski, J. Alvarez, InnoTech Alberta; J. Leung, University of Alberta; R. Sawatzky, InnoTech Alberta; N. Harris, University of Alberta
  • 1120-1140 233170
    Unsupervised Neural Spline Warping For Automated Well-log Depth Alignment
    S. Acharya, Norwegian University of Science & Technology; K. Fabian, NTNU; K. Westeng, Aker BP
  • 1140-1200 233179
    Deep Learning Models For Geological Parameterization With Flow Simulation Validation
    H. Li, B. Aslam, King Abdullah University of Science and Technology; B. Yan, King Abdullah University of Science & Tech
  • 1200-1220 233180
    Benchmarking Topological Awareness: A Comparative Study Of Physics-informed Vs. Learned Graph Architectures For System-level Anomaly Detection In Offshore Subsea Networks
    M. Uygur, A. Polat, E. Yildirim, Turkish Petroleum Off-Shore Technology Center (TP-OTC)
  • Alternate 233181
    Short-term Reservoir Forecasting For Operational Management: Applicability Limits Of Reservoir Simulation And Machine Learning Models
    L.O. Pires, Centro de Estudo de Energia e Petróleo; B. Lavi, Centro De Estudo Do Petroleo - Cepetro; J. Bertini, D. Schiozer, Universidade Estadual De Campinas
  • Alternate 233173
    Deep Learning For Efficient Monitoring Of Co₂ Plume Dynamics In Complex 3d Saline Aquifers With Faults And Fractures
    Z. Tariq, King Abdullah University of Science and Technology
  • Alternate 233174
    Solving Upstream Complexity: Agentic RAG And A2A Framework For Faster Subsurface Insights
    N. Reddicharla, ADNOC Onshore
  • Alternate 233167
    Machine Learning Model For Pipeline Failure Risk Prediction
    S. Kamrava, Y. Fan, S. Bandyopadhyay, J. Miskimins, V. Anisi, Colorado School of Mines