H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 36 Citations 9,126 93 World Ranking 3198 National Ranking 16

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Artificial intelligence

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 most cited work include:

  • Inverse Theory for Petroleum Reservoir Characterization and History Matching (639 citations)
  • THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW (582 citations)
  • Recent progress on reservoir history matching: a review (529 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Algorithm (35.88%)
  • Ensemble Kalman filter (30.53%)
  • Mathematical optimization (25.19%)

What were the highlights of his more recent work (between 2011-2021)?

  • Algorithm (35.88%)
  • Data assimilation (23.66%)
  • Ensemble Kalman filter (30.53%)

In recent papers he was focusing on the following fields of study:

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.

Between 2011 and 2021, his most popular works were:

  • Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother (203 citations)
  • Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification (187 citations)
  • An Iterative EnKF for Strongly Nonlinear Systems (121 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Algorithm
  • Artificial intelligence

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Inverse Theory for Petroleum Reservoir Characterization and History Matching

Dean S. Oliver;Albert C. Reynolds;Ning Liu.
itpr (2008)

940 Citations

THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW

Sigurd I. Aanonsen;Geir Nævdal;Dean S. Oliver;Albert C. Reynolds.
Spe Journal (2009)

788 Citations

Recent progress on reservoir history matching: a review

Dean S. Oliver;Yan Chen.
Computational Geosciences (2011)

747 Citations

Efficient Ensemble-Based Closed-Loop Production Optimization

Yan Chen;Dean S. Oliver;Dongxiao Zhang.
Spe Journal (2009)

394 Citations

An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation

Yaqing Gu;Dean S. Oliver.
Spe Journal (2007)

360 Citations

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)

331 Citations

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)

313 Citations

History Matching of Three-Phase Flow Production Data

Ruijian Li;A.C. Reynolds;D.S. Oliver.
Spe Journal (2003)

283 Citations

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)

263 Citations

Onset of convection in a variable-viscosity fluid

Karl C. Stengel;Dean S. Oliver;John R. Booker.
Journal of Fluid Mechanics (1982)

246 Citations

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