AI-Driven Production Optimisation and Reservoir Management II
Wednesday, 14 January
Technical Session Room 1
Technical Session
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1100-1120 25205Successful Application Of Machine Learning To Generate Petrophysically-consistent Acoustic Slowness During Logging While Drilling
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1120-1140 25238Integrated ML Workflow For Joint Fault And Horizon Extraction On Mega Seismic Surveys In The Middle East
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1140-1200 25217Machine Learning Based Automated Pressure Testing In Carbonate Formations Of Uae
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1200-1220 25252Hydrocarbon Identification Using Supervised Machine Learning: Seismic Image Segmentation And Multi-attribute Analysis Validated By Production And Log Data
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Alternate 25191Hybrid AI Framework For Predicting Geomechanical Risks And Hole Instability During Well Planning
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Alternate 25234A Self-correcting, Physics-informed Neural Network For Robust Petrophysical Interpretation With Learnable Physical Parameters
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Alternate 25198Deep Learning-based Deghosting In Marine Seismic Data Processing
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Alternate 25257A New Well Testing Interpretation Method Based On Artificial Neural Network And Iterative Closest Point For Multi-stage Fracturing Horizontal Wells
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Alternate 25219Ai - Powered Fracture Gradient And Caprock Evaluation To Define Optimal Plug Depths For Efficient Well Abandonment
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Alternate 25179Perfecting The Data, Not The Model: Interactive Multi-volume Deep Learning For Complex 3d Geobody Interpretations