AI Driven well planning and positioning
Tuesday, 13 January
Technical Session Room 2
Technical Session
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1400-1420 25230Multi-agentic Generative Ai Framework For Accelerating Reservoir Simulation And Field Development Planning
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1420-1440 25153Automated Workflow on Synthetic Borehole Imaging in Real-time Well Placement
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1440-1500 25190Uncertainty-centric Ensemble Modelling And History Matching Of Field S For Infill Well Planning And Economic Evaluation
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1500-1520 25161Enhancing Well Planning Through Data Analytics And Digital Collaboration Platform
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Alternate 25195Predicting Solubility Of H2-CH4Mixtures In Brine Using Machine Learning
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Alternate 25255Employing Machine Learning Technology To Perform Long-term Monitoring Of EGS
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Alternate 25227Enhancing Horizontal Well Design In Carbonates Through AI-Based Detection Of Fault Breccia And Microfaults From Borehole Image Logs
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Alternate 25208Integrated Deep Learning Workflow For Enhanced Seismic Fault Prediction And Slip Analysis In Co₂ Storage Reservoir Assessment
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Alternate 25258Oil And Gas Facility Layout Optimization — A New Clustering Based Approach
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Alternate 25212Unravelling Favorable Mesozoic Reservoir Facies By Advanced Logging And Machine Learning, Offshore Bohai Bay China