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Real-Time AI for Production Optimisation II

Tuesday, 14 April
Room 1
Technical Session
Session Chairpersons
Jyotsna Asarpota - Halliburton
Muhammad Navaid Khan - ADNOC Upstream
  • 1630-1700 231977
    Virtual Multiphase Phase Flow Meter - A Digital Twin Application
    Q. Jin, W. Liu, MEDENG
  • 1700-1730 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
  • 1730-1800 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 232244
    Enhanced Permeability Prediction in Heterogeneous Tight Sandstones: A Hybrid Model Combining Hydraulic Flow Units (HFU) With Deep LearningMethod
    T. Liu, R. A, K. Shi, D. Liu, PetroChina Changqing Oilfield Company; X. Lin, R. Huang, Y. Shao, L. Xiao, China University of Geosciences, Beijing
  • Alternate 232288
    From Sensor to Storage: An End-to-End AI Framework for Direct Porosity Prediction from High-Frequency Dielectric Reflections
    A.A. Hassan, A. Abdulraheem, A. Hassan, M. Mahmoud, 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
  • Alternate 232758
    Quantum Anomaly Detection In Oil & Gas Futures: A Quantum Machine Learning Approach For Market Irregularity Identification
    N.S. Almaghlouth, Saudi Aramco