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Real-Time AI for Production Optimisation II

Tuesday, 14 April
Room 1
Technical Session
  • 1530-1600 231977
    Virtual Multiphase Phase Flow Meter - A Digital Twin Application
    Q. Jin, W. Liu, MEDENG
  • 1600-1630 232053
    Development Of An Artificial Intelligence Framework For Production Optimization Of Selected Oil And Gas Wells
    F. Idachaba, Military Technical College; S. Ur Rehman, O. Al-Farisi, Dragon Oil; A. Alameeri, Dragon Oil Limited; M. Ibrahim, Dragon Oil; M. ELDALI, Dragon Oil Limited
  • 1630-1700 232150
    An Ai-driven Smart Reservoir Gas Water Shut-off System For Enhanced Production Efficiency For Optimizing Gas Recovery In Complex Reservoirs
    K. Katterbauer, P. Asthana, Saudi Aramco; A. Alsmaeil, Saudi Aramco PE&D
  • Alternate 232197
    Financially Constrained Physics-informed Neural Networks: A Framework For Physically Bounded Portfolio Optimization And Real-options Valuation
    C.T. Burrows, IRRMOIC
  • Alternate 232244
    Enhanced Permeability Prediction In Heterogeneous Tight Sandstone: A Hybrid Model Combining Hydraulic Flow Units (hfu) With Deep Learning Method
    L. Xiao, China University of Geosciences, Beijing; L. Tianding, PetroChina E&P Co
  • Alternate 232288
    From Sensor To Storage: A Universal, End-to-end AI Framework For Direct Porosity Prediction From Raw Dielectric Spectra
    A.A. Hassan, King Fahd University of Petroleum & Minerals
  • Alternate 232158
    Physics-constrained Lstm Networks With Real-time Mse Feedback For Adaptive Rate Of Penetration Prediction In Complex Formations
    A. Misbah, A. Bhatti, China University of Petroleum - Beijing