Dynamic Data Acquisition, Connectivity, and Reservoir Diagnosis
Wednesday, 3 January
Technical Session
This session focuses on integrated simulation, history matching, and optimization techniques for complex reservoirs. The papers showcase advances in Bayesian and ensemble-based history matching, physics-informed machine learning, real-time injection optimization, development planning, and well placement, addressing uncertainty, risk, and value maximization across conventional and unconventional systems.
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AlternateA Multi-disciplinary Review Of Dynamic Data Acquisition In Exploration And Appraisal Wells With Unconsolidated Sands, Offshore Mexico
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AlternateIntegrating Capacitance-resistance Model Connectivity Analysis With Geological Data In A Multizone Field
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AlternateAnalysis And Modeling Of Vertical And Horizontal Compositional Gradients In Two North Sea Fields
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AlternateIdentification Of Reservoir Compartmentalization Using Integrated Production Data Drainage Volume Analysis And Well Region-based Simulation History Matching
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AlternateChasing Remaining Potential In Brown Fields Using Fully-Integrated ReservoirCharacterization, Case Study Of A Messinian Reservoir
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AlternateAggregation-based Upscaling For Geologically Consistent High-fidelity Reservoir Simulation With Process-based Models
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AlternateField-scale Demonstration Of Model-free Reservoir Characterization And Rapid Production Forecasting Using Physics-informed Machine Learning
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AlternateThe Influence Of Impermeable Boundaries In Fractal Reservoirs
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AlternateEnhancing Electromagnetic Penetration Depth In Reservoir Rocks: Characterizing Acoustic, Thermal, And Frequency Effects


