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Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage

Mohamad Reza Soltanian, Amin Bemani, Farzad Moeini, Reza Ershadnia, Zhijie Yang, Zhengyang Du, Huichao Yin, Zhenxue Dai

2024Fuel29 citationsDOI

Topics & Concepts

Computer scienceArtificial neural networkPerceptronSupport vector machineMultilayer perceptronEnsemble learningDecision treeAdaBoostRenewable energyMachine learningBoosting (machine learning)Convolutional neural networkRandom forestArtificial intelligenceEngineeringElectrical engineeringHydrocarbon exploration and reservoir analysisEnhanced Oil Recovery TechniquesAtmospheric and Environmental Gas Dynamics
Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage | Litcius