AI-Driven Production Optimisation and Reservoir Management - II

Wednesday, 14 January

1100 - 1230

Technical Session Room 1

Technical Session

Session Chairpersons

Hussein Mustapha - AITECH POINT LTD

Nidhal Belayouni - AIQ

1100-1120 25116
Reservoir History Matching Using Mirror Generative Adversarial Network

H. Chen, L. Xue, D. Tian, Y. Dong, G. Zou, China University of Petroleum, Beijing
1120-1140 25117
Explainable Deep Learning for Inter-Well Connection Analysis: A Novel Methodology for Analysis of Complex Reservoir Systems

C.A. Rodriguez Araque, J.A. Saint Antonin, Saudi Aramco PE&D
1140-1200 25141
Fourier NeuralOperator-Accelerated Physics-Informed Framework for Ultra-Long-Term FractureConductivity Prediction in Shale Reservoirs

C. Lu, Z. Han, W. Shouxin, C. Chen, Q. Li, G. Zhang, J. Guo, 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 - A Secured Digital Future Enabled by PINN

W. Liu, H. Jin, MEDENG
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, A. Adam, Khalifa University of Science and Technology; B. Elsayed, Gulf of Suez Petroleum Co.

Event Programme

AI-Driven Production Optimisation and Reservoir Management - II