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Dean S. Oliver

Dean S. Oliver

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
12452
World Ranking
4476
National Ranking
25

Overview

Dean S. Oliver is affiliated with NORCE Research in Norway, focusing on research within the fields of Engineering and Environmental Science. Their work spans several subfields, including Ocean Engineering, Mechanical Engineering, Environmental Engineering, Geophysics, and Atmospheric Science.

Their primary research topics cover Reservoir Engineering and Simulation Methods, Hydraulic Fracturing and Reservoir Analysis, Drilling and Well Engineering, Groundwater Flow and Contamination Studies, Seismic Imaging and Inversion Techniques, Meteorological Phenomena and Simulations, and Mining Techniques and Economics.

Dean S. Oliver has published papers in several academic venues, with notable frequency in the following journals:

  • Journal of Petroleum Science and Engineering
  • Mathematical Geosciences
  • Geoenergy Science and Engineering
  • Computational Geosciences
  • arXiv (Cornell University)

Recent publications by Dean S. Oliver include:

  • "4D seismic history matching," 2021, Journal of Petroleum Science and Engineering
  • "Diagnosing reservoir model deficiency for model improvement," 2020, Journal of Petroleum Science and Engineering
  • "Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models," 2022, Mathematical Geosciences
  • "Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability," 2024, Geoenergy Science and Engineering
  • "Information content in 4D seismic data: Effect of correlated noise," 2021, Journal of Petroleum Science and Engineering

Their collaboration network includes frequent co-authors such as Yuming Ba, A. Skorstad, Jon Sætrom, Lingya Wang, and Kristian Fossum.

Best Publications

  • Inverse Theory for Petroleum Reservoir Characterization and History Matching

    Dean S. Oliver;Albert C. Reynolds;Ning Liu

  • Recent progress on reservoir history matching: a review

    Dean S. Oliver;Yan Chen

  • THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW

    Sigurd I. Aanonsen;Geir Nævdal;Dean S. Oliver;Albert C. Reynolds

  • History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kalman Filter

    Yaqing Gu;Dean S. Oliver

  • History Matching of Three-Phase Flow Production Data

    Ruijian Li;A.C. Reynolds;D.S. Oliver

  • Efficient Ensemble-Based Closed-Loop Production Optimization

    Yan Chen;Dean S. Oliver;Dongxiao Zhang

  • An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation

    Yaqing Gu;Dean S. Oliver

  • Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification

    Yan Chen;Dean S. Oliver

  • Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother

    Yan Chen;Dean S. Oliver

  • 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

  • Ensemble-Based Closed-Loop Optimization Applied to Brugge Field

    Yan Chen;Dean S. Oliver

  • Conditioning Permeability Fields to Pressure Data

    D. S. Oliver;N. He;A. C. Reynolds

  • Onset of convection in a variable-viscosity fluid

    Karl C. Stengel;Dean S. Oliver;John R. Booker

  • Critical Evaluation of the Ensemble Kalman Filter on History Matching of Geologic Facies

    Ning Liu;Dean S. Oliver

  • Ensemble Kalman filter for automatic history matching of geologic facies

    Ning Liu;Dean S. Oliver

  • An Iterative EnKF for Strongly Nonlinear Systems

    Pavel Sakov;Dean S. Oliver;Laurent Bertino

  • Cross-covariances and localization for EnKF in multiphase flow data assimilation

    Yan Chen;Dean S. Oliver

  • The Ensemble Kalman Filter for Continuous Updating of Reservoir Simulation Models

    Yaqing Gu;Dean S. Oliver

  • Conditioning Geostatistical Models to Two-Phase Production Data

    Zhan Wu;A.C. Reynolds;D.S. Oliver

  • Reparameterization Techniques for Generating Reservoir Descriptions Conditioned to Variograms and Well-Test Pressure Data

    A.C. Reynolds;Nanqun He;Lifu Chu;D.S. Oliver

Frequent Co-Authors

Albert C. Reynolds
Albert C. Reynolds University of Tulsa
Dongxiao Zhang
Dongxiao Zhang Southern University of Science and Technology
Laurent Bertino
Laurent Bertino Bjerknes Centre for Climate Research
Akhil Datta-Gupta
Akhil Datta-Gupta Texas A&M University
Clayton V. Deutsch
Clayton V. Deutsch University of Alberta

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