144 New Frontiers for Advance Energy Evaluation
Wednesday, 14 February
Room 11
Technical
-
1600-1620 23568Predicting Wettability Of Saudi Arabian Basalt/CO2/brine Using Machine Learning Models: Significance For Geo-storage Of Co2
-
1620-1640 23500Rapid Assessment Of CO2 Cooling Effect During Geological Carbon Sequestration Using Machine Learning Approach
-
1640-1700 23508Shallow Hazard And Facies Characterization For Ultra-high Resolution Wind Farm Seismic Using A Data-centric, Multiclass Deep Learning Approach
-
1700-1720 23509A New Model To Predict The Dielectric Properties For Unconventional Shales By Employing Artificial Intelligence Techniques
-
Alternate 23520Machine Learning For Predictive Analysis Of Carbon Dioxide Storage And Oil Recovery In A Tight Oil Reservoir
-
Alternate 23594Geochemical Mapping Of Light Hydrocarbons Through High Dimensional Data Mining And Machine Learning Techniques
-
Alternate 23532Anomaly Detection In Gas Measurements Of Hydrocarbon Wells
-
Alternate 23578Shale Gas Production Prediction In The Southern Montney Play Using Machine Learning Approaches
-
Alternate 23488Enhancing Production Forecast Of Unconventional Bakken Oil Wells Through Integration Of Machine Learning Techniques And Time Series Analysis
-
Alternate 23529Multilayer Perceptron Modeling For The Prediction Of Gas Condensate Composition Changes During Pressure Depletion
