Dean S. Oliver spends much of his time researching Ensemble Kalman filter, Algorithm, Data assimilation, Extended Kalman filter and Nonlinear system. His studies in Ensemble Kalman filter integrate themes in fields like History matching, Mathematical optimization and Computation. Dean S. Oliver combines subjects such as Econometrics and Three phase flow with his study of History matching.
His Algorithm course of study focuses on Ensemble learning and Stability, Uncertainty quantification and Hessian matrix. His research in Nonlinear system intersects with topics in Probability density function, Filter and Petrology. The Kalman filter study combines topics in areas such as Covariance and Reservoir modeling.
His scientific interests lie mostly in Algorithm, Ensemble Kalman filter, Mathematical optimization, Data assimilation and History matching. His Algorithm research includes elements of Stochastic modelling, Markov chain Monte Carlo, Statistics, Kalman filter and Monte Carlo method. Dean S. Oliver interconnects Machine learning, Covariance and Nonlinear system in the investigation of issues within Ensemble Kalman filter.
His Mathematical optimization study combines topics in areas such as Petroleum reservoir, Computation and Applied mathematics. In Petroleum reservoir, Dean S. Oliver works on issues like Permeability, which are connected to Mechanics. His History matching research integrates issues from Data mining and Three phase flow.
Dean S. Oliver mostly deals with Algorithm, Data assimilation, Ensemble Kalman filter, Mathematical optimization and Kalman filter. His study in Algorithm is interdisciplinary in nature, drawing from both Wavelet and Heuristics. His Ensemble Kalman filter study incorporates themes from Machine learning, History matching, Markov chain Monte Carlo and Nonlinear system.
His research investigates the connection between History matching and topics such as Code that intersect with issues in Sensitivity. His Mathematical optimization study combines topics from a wide range of disciplines, such as Ensemble learning, Computation and Covariance intersection. His Extended Kalman filter study in the realm of Kalman filter connects with subjects such as Second-generation wavelet transform.
His main research concerns Mathematical optimization, Ensemble Kalman filter, Algorithm, Data assimilation and Ensemble learning. His study in the field of Quadratic programming and Sequential quadratic programming also crosses realms of Production optimization. His studies deal with areas such as Filter and Nonlinear system as well as Ensemble Kalman filter.
His Nonlinear system research incorporates elements of Applied mathematics, Linear regression and Extended Kalman filter. His research on Algorithm often connects related topics like History matching. Dean S. Oliver has researched Ensemble learning in several fields, including Uncertainty quantification, Stability, Hessian matrix and Markov chain Monte Carlo.
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Inverse Theory for Petroleum Reservoir Characterization and History Matching
Dean S. Oliver;Albert C. Reynolds;Ning Liu.
THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW
Sigurd I. Aanonsen;Geir Nævdal;Dean S. Oliver;Albert C. Reynolds.
Spe Journal (2009)
Recent progress on reservoir history matching: a review
Dean S. Oliver;Yan Chen.
Computational Geosciences (2011)
Efficient Ensemble-Based Closed-Loop Production Optimization
Yan Chen;Dean S. Oliver;Dongxiao Zhang.
Spe Journal (2009)
An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation
Yaqing Gu;Dean S. Oliver.
Spe Journal (2007)
Markov Chain Monte Carlo Methods for Conditioning a Permeability Field to Pressure Data
Dean S. Oliver;Luciane B. Cunha;Luciane B. Cunha;Albert C. Reynolds.
Mathematical Geosciences (1997)
History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kalman Filter
Yaqing Gu;Dean S. Oliver.
SPE Annual Technical Conference and Exhibition (2004)
History Matching of Three-Phase Flow Production Data
Ruijian Li;A.C. Reynolds;D.S. Oliver.
Spe Journal (2003)
Conditioning Permeability Fields to Pressure Data
D. S. Oliver;N. He;A. C. Reynolds.
ECMOR V - 5th European Conference on the Mathematics of Oil Recovery (1996)
Onset of convection in a variable-viscosity fluid
Karl C. Stengel;Dean S. Oliver;John R. Booker.
Journal of Fluid Mechanics (1982)
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