Skip to main content
Loading

AI-Driven Production Optimisation and Reservoir Management - II

Wednesday, 14 January
Technical Session Room 1
Technical Session
  • 1100-1120 25116
    Reservoir History Matching Using Physical-informed Mirror Generative Adversarial Network
    H. Chen, L. Xue, China University of Petroleum Beijing
  • 1120-1140 25117
    Explainable Neural Network Model For Interwell Connection Analysis In Complex Reservoir Systems: A Deep Learning Breakthrough
    C.A. Rodriguez Araque, M. Alghazal, Saudi Aramco PE&D
  • 1140-1200 25141
    Fourier Neural Operator-accelerated Physics-informed Framework For Ultra-long-term Fracture Conductivity Prediction In Shale Reservoirs
    C. Lu, W. Shouxin, S. Xu, J. Guo, Q. Li, C. Chen, Southwest Petroleum University
  • 1200-1220 25134
    Automatic Pump Condition Monitoring Of Sucker Rod Pumping Systems Using Conditional Variational Autoencoders
    T. Kremser, RAG Austria AG; H.M. Hofstaetter, T. Antretter, Mining University of Leoben; C. Burgstaller, G. Wallnoefer, RAG Austria AG
  • Alternate 25115
    Virtual Mass MPFM - PINN-enabled Multiphase Flow Measurement
    W. Liu, Q. Jin, MEDENG
  • Alternate 25119
    Automating Relative Permeability Curve Generation With Machine Learning Across Reservoir Rock Types
    S. Kumar, Schlumberger Solutions Pvt Ltd; A. Aggarwal, SLB
  • Alternate 25128
    Evergreen Hybrid (physics & Ai) Waterflood Optimization System: Operationalizing Reservoir Simulation For Real-time Decision Support
    N. Gerges, ADNOC Upstream; R. Ayoubi, AIQ; S. ramatullayev, SLB
  • Alternate 25124
    Intelligent Optimization Methods For Tight Oil Production Prediction Based On PINN
    Y. Wang, X. Li, L. Ning, Research Inst Petr Expl & Dev; B. Liu, Eastern Institute For Advanced Study - Ningbo; D. Qiao, X. Liu, Y. Song, H. Jia, Research Inst Petr Expl & Dev
  • Alternate 25142
    Real-time Estimation Of Production Rates In Gas-condensate Wells Using Machine Learning Model
    K. Raslan, Badr Petroleum Company, Cairo, Egypt; H. Elnaggar, University of Wyoming; O. Elagab, Stevens Institute of Technology; A. Shahin, Texas Tech University; M. Aboushanab, Khalifa University of Science and Technology

The IPTC Excellence Awards celebrate excellence and achievements in major technological, humanitarian, safety, environmental, and leadership contributions to the industry.