Litcius/Paper detail

Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network

Cong Xiao, Hai Xiang Lin, O. Leeuwenburgh, Arnold Heemink

2021Journal of Petroleum Science and Engineering19 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceSurrogate modelArtificial neural networkBenchmark (surveying)Inversion (geology)Mathematical optimizationUncertainty quantificationAlgorithmMatching (statistics)Deep learningReservoir simulationArtificial intelligenceMachine learningMathematicsEngineeringGeologyStatisticsStructural basinPaleontologyGeodesyPetroleum engineeringReservoir Engineering and Simulation MethodsHydraulic Fracturing and Reservoir AnalysisSeismic Imaging and Inversion Techniques
Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network | Litcius