AI-Driven Production Optimisation and Reservoir Management I
Tuesday, 13 January
Technical Session Room 1
Technical Session
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1130-1150 25130AI Accelerated Forward Modeling Using Physics Informed Neural Operators For Real Time Reservoir Management
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1150-1210 25136Accelerating Reservoir Simulation To Shorten The Field Development Lifecycle: Innovations In Ai, Multiscale Physics, And Scalable Compute
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1210-1230 25126Ai-augmented Ensemble Simulation With Reinforcement Learning For Optimal Co₂-eor Strategy Under Geological Uncertainty
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1230-1250 25131Ai-driven Workflow For Automated Field Development Plan Optimization: A Case Study From An Offshore Gas Field
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Alternate 25133A Novel Quick-win Dual-branch Neural Operator Proxy For Real-time Waterflood Simulation In Heterogeneous Porous Carbonate Reservoirs
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Alternate 25120Advanced Machine Learning And Optimization Techniques For Real-time CO₂ Membrane Operations In The Gulf Of Thailand
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Alternate 25129Insights Into Surface Network Hydrocarbon Production Optimization Using AI: Lessons Learned From The SPE AI Hackathon II
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Alternate 25139Optimizing Reservoir Management: An Ai-driven Approach To Enhance Injection Rate Distribution And Vrr Forecasting
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Alternate 25140Automated Calibration Of Surface Pipeline Networks Using Iteratively Refined Machine Learning Models With Field Applications
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Alternate 25127Development Of A Deep-learning-based Model For Rapid Production Forecasting And Optimization Of Mature Waterflooding Fields
