Technology Transformation in Digital Energy
Wednesday, 18 October
Room 214 B
Technical Session
Advanced machine learning algorithms such as deep learning and natural language processing have opened new horizons for performance prediction and well analysis. This session discusses novel ideas for reservoir simulation surrogate modeling, data-driven production forecasting and AI-assisted well data management utilizing advanced analytics.
Session Chairperson(s)
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0830-0855 215103A Novel Surrogate Model For Reservoir Simulations Using Fourier Neural Operators
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0855-0920 214889Deep Learning Based Upscaling Of Geomechanical Constitutive Behavior for Lithological Heterogeneities
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0920-0945 214881A Comparative Study Of Deep Learning Models And Traditional Methods In Forecasting Oil Production In The Volve Field
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1015-1040 215056Shale Gas Production Forecasting With Well Interference Based On Spatial-Temporal Graph Convolutional Network
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1040-1105 214888Answering Natural Language Questions with Open AI's GPT in the Petroleum Industry
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1105-1130 214817Optimizing ESP Well Analysis Using Natural Language Processing And Machine Learning Techniques
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Alternate 214769Multiple Production Time Series Forecasting Using Deepar And Probabilistic Forecasting
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Alternate 215091A Novel Shale Well Production Forecast Model Achieves >95% Accuracy Using Only 1.5 Years Of Production Data
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Alternate 214818AI-Powered, Lightning-Fast Production Modeling Of Multi-well And Multi-bench Unconventional Development
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