AI and ML for Reservoir Characterisation and Modelling
Monday, 2 June
Al Ghaf 3&4
Technical and Invited Presenter
Session Chairpersons
-
1300-1320 2252933D Non-matrix Vugular Property Distribution Using A Geologically High-resolution Machine Learning (GHREM) Workflow In A Carbonate Reservoir
-
1320-1340 225328AI-Powered Assisted History Matching Focused On Vertical Communication In A Heterogeneous Giant Carbonate Reservoir With 16 Subzones, Offshore Abu Dhabi
-
1340-1400 225339Advancing Reservoir Characterization With Machine Learning: A Multi-well Predictive Analysis
-
1400-1420 225306Augmented Reservoir Characterization Technology For The Stochastic Estimation Of Rock Properties
-
Alternate 225325Robot Field Development Teams: Harnessing Multi-Agent Systems In Petroleum Engineering
-
Alternate 225329Ai-driven Investigation Of Hydraulic And Effective Fracture Ratios In Shale Reservoirs
-
Alternate 225358An AI-based Model For Optimizing Pressure, ºAPI, And GOR In Multistage Separator Trains