Session 46: AI-Powered Efficiency Improvements

Wednesday, 23 April

1330 - 1500

Room 5

Technical Session

Session Chairpersons

0130-0200 224464
Data-driven Prediction Of Rheological Properties In Invert Emulsion Drilling Fluids: A Comparative Analysis Of Machine Learning Models

S. Yanik, I.H. Gucuyener, O. Gurcay, O.M. Yagmur, GEOS Energy Inc.
0200-0230 224526
Emergence Of Ai In Oil And Gas Industry With A Deep Focus On Drilling

M. Amer, A. Othman, Saudi Aramco D&WO
Alternate 224530
Adaptive Learning Method For Predicting Geomechanical Parameters From Heterogeneous Formation Images Based On Deep Learning

Z. SUN, Y. Jin, X. Guo, China University of Petroleum Beijing
Alternate 224548
Drilling With Ai-based Systems: To Trust, Or Not To Trust Model Forecast With Low Quality Real-time Data?

E. Gurina, K. Antipova, N. Klyuchnikov, D. Koroteev, DIGITAL PETROLEUM FZ LLC; A. Gammoudi, Afkar Ventures
Alternate 224521
Physics-informed Graph Connected Element Model For Reservoir Connectivity Identification And Production Forecasting In Co₂-EOR

Y. Xu, H. Zhao, Yangtze University; D. Jia, PetroChina Research Institute of Petroleum Exploration and Development; Y. Zhou, F. Meng, Yangtze University
Alternate 224460
Predictive Modeling Of Hydrogen Wettability Shifts In Saudi Arabian Basalt Due To Organic And Nanofluid Aging

Z. Tariq, M. Ali, N. Kumar, B. Yan, H. Hoteit, King Abdullah University of Science and Technology

Technical Programme