Comparison of stochastic sampling algorithms for uncertainty quantification

SPE Reservoir Simulation Symposium Proceedings

Volumn 2, Issue , 2009, Pages 993-1004

  Mohamed, L ^a   Christie, M ^a   Demyanov, V ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DYNAMICS; GENETIC ALGORITHMS; GRADIENT METHODS; HAMILTONIANS; LEARNING ALGORITHMS; MARKOV PROCESSES; MONTE CARLO METHODS; PARTICLE SWARM OPTIMIZATION (PSO); RESERVOIR MANAGEMENT; STOCHASTIC SYSTEMS; SWARM INTELLIGENCE; UNCERTAINTY ANALYSIS;

ENSEMBLE KALMAN FILTER; HISTORY-MATCHED RESERVOIR MODELS; MARKOV CHAIN MONTE CARLO; NEIGHBORHOOD ALGORITHM; NEIGHBOURHOOD ALGORITHMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; SWARM INTELLIGENCE ALGORITHMS; UNCERTAINTY QUANTIFICATIONS;

PARAMETER ESTIMATION;

EID: 70449572668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/119139-ms     Document Type: Conference Paper

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