143 Embracing ML/AI Petrophysical Interpretation
Wednesday, 14 February
Room 10
Technical
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1600-1620 23487Predicting Mineralogy By Well Logs And Thermal Profile Using Machine Learning In Unconventionals
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1620-1640 23490Prediction Of NMR T2 Macro- And Micro-porosity With Machine Learning Techniques: Considering The Constraints Of ECS Lithology Classification
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1640-1700 23572Advancing Relative Permeability And Capillary Pressure Estimation In Porous Media Through Physics-informed Machine Learning And Reinforcement Learning Techniques
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1700-1720 23588Cnn-accelerated Rock Property Estimation From Angle-stack Seismic Data
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Alternate 23598Deep Learning For Predicting Evaporite Salt In The Mediterranean: A Case Study
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Alternate 23580Big Data Analysis Using Machine Learning And Anomaly Detection Methods To Predict Porosity In Carbonate Formations
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Alternate 23595Advanced Machine Learning Framework For Enhanced Lithology Classification And Identification
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Alternate 23561Real Time Petrophysics Via Artificial Intelligence In Ultra-brown Field Development
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Alternate 23538Automated Machine Learning (automl) For Subsurface Well Log Predictions
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Alternate 23581Rapid Rock Properties Estimation From Micro-CT Images By Deep Leaning
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Alternate 23537Machine-Learning-Assisted Petrophysical Rock Type Classification And Permeability Estimation With Flow Zone Indicators