AI for Sustainable Reservoir Performance and Energy Transition I

Tuesday, 29 September

1630 - 1800

Room 1

Technical Session

Session Chairpersons

1630-1700 232267
Predicting Fines Migration Threshold in Sandstone Reservoir: A Machine Learning Framework for Predicting Critical Salt Concentration

S.A. Belkhir, United Arab Emirates University; R. Muneer, Hamad Bin Khalifa University; Y. Alblooshi, M.R. Hashmet, United Arab Emirates University
1700-1730 232062
From Metrics to Insights: Towards High-Precision and Explainable Query-Analysis System in Oil and Gas Operations with Large Language Models

C. Wang, Q. Wu, H. Wu-Wang, X. Ma, J. Fan, C. Yan, H. Liu, S. Liu, W. Yang, Petrochina (Beijing) Digital Intelligence Research Institute Co., Ltd
1730-1800 231954
AI-Powered Compression: Real-Time Monitoring and Simulation for Maximazing Gas Production

D.I. Cantor Alvarez, A. Al Thawadi, Bapco Upstream
Alternate 232030
Quantum-Classical Physics-Informed Neural Networks for Permeability Inversion in Single-Phase Reservoir Flow

X. Rao, Yangtze University; Y. Liu, King Abdullah University of Science and Technology; X. Ouyang, Yangtze University
Alternate 231965
Detection of Stuck Pipe Problems During Drilling Tripping Operations Using Artifical Intelangece Approach

G. Hamada, Arab Academy for Science, Technology & Maritime Transport; H. Mohammed, Cairo University

Conference Programme 2026