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An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements

M. Nagao, Changqing Yao, Tsubasa Onishi, Hongquan Chen, Akhil Datta‐Gupta, Srikanta Mishra

2024International journal of greenhouse gas control26 citationsDOIOpen Access PDF

Topics & Concepts

WorkflowDeep learningPlumeArtificial neural networkAutoencoderComputer scienceFidelityArtificial intelligenceHigh fidelityReal-time computingEngineeringMeteorologyGeographyDatabaseTelecommunicationsElectrical engineeringCO2 Sequestration and Geologic InteractionsEnhanced Oil Recovery TechniquesHydraulic Fracturing and Reservoir Analysis
An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements | Litcius