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Data-Driven Risk Detection and Reliability Engineering

Monday, 13 April
Room 1
Technical Session
  • 1500-1530 232232
    Predictive Analytics For CT Fatigue And Perforation Reliability Using 50+ High-frequency CT Intervention Datasets
    M.I. Abd Jalil, Petronas Carigali Sdn Bhd; Y. Kung, Dimension Bid (M) Sdn Bhd
  • 1530-1600 232093
    Development Of A Non-dimensional Nomograph Using Hydrophone-based Acoustics To Predict Subsea Two-phase And Three-phase Pipeline Leak Plume Behavior
    A. Mohamed, M. Rahman, H. Ferroudji, Hamad Bin Khalifa University; I.G. Hassan, Texas A&M University Qatar; A. Sleiti, Qatar University; S. Rezaei Gomari, Teesside University; M. Hamilton, Memorial University of Newfoundland; A. Khandakar, Qatar University
  • 1600-1630 232167
    PetroGuard: An End-to-End Large Vision Model For Full-chain Safety Risk Recognition In Oil And Gas Production
    Y. Wang, G. Lin, C. Wang, H. Liu, S. Liu, W. Yang, Petrochina (Beijing) Digital Intelligence Research Institute Co., Ltd
  • Alternate 232173
    Ai-assisted Cctv Surveillance: A Breakthrough In Enhancing Safety Behavior And Hazard Awareness In Well Service Operations
    T.R. Hidayat, PT Pertamina EP; M. Rizal, N.E. Soekarno, D. Surya, PT Pertamina EP Cepu
  • Alternate 232306
    Innovative Aiml Approaches For Autonomous Pressure-point Detection During Formation Evaluation & Pressure-transient Analysis
    A. Bhattacharjee, G. Rajvanshi, A. KUMAR, N. SINGH, Rajiv Gandhi Institute of Petroleum Techhnology
  • Alternate 231943
    Improving Oil Well Production Forecasting Accuracy Using Autoformer Network: The Role Of Engineering Operation Features In Dynamic Production Systems
    S. Liu, Sinopec Petroleum Exploration and Production Research Institute
  • Alternate 232201
    From Prompt To Plot: An MCP Framework For LLM-driven Engineering Automation
    C. Chen, M. Tang, Southwest Petroleum University