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Albert C. Reynolds

Albert C. Reynolds

D-Index & Metrics

Engineering and Technology

D-Index
64
Citations
16007
World Ranking
1632
National Ranking
533

Overview

Albert C. Reynolds is affiliated with the University of Tulsa in the United States. Their primary area of research lies within the field of engineering, with a focus on specialized subfields including ocean engineering and mechanical engineering. Within these domains, their work predominantly addresses topics related to reservoir engineering and simulation methods, hydraulic fracturing and reservoir analysis, enhanced oil recovery techniques, drilling and well engineering, obstructive sleep apnea research, neuroscience of respiration and sleep, and respiratory support and mechanisms.

Their recent scholarly output demonstrates a strong concentration in optimization and robust production methods within complex engineering systems. Notable papers include:

  • A Sequential-Quadratic-Programming-Filter Algorithm with a Modified Stochastic Gradient for Robust Life-Cycle Optimization Problems with Nonlinear State Constraints, 2020, SPE Journal
  • Gradient-Enhanced Support Vector Regression for Robust Life-Cycle Production Optimization with Nonlinear-State Constraints, 2020, SPE Journal
  • Robust Multiobjective Nonlinear Constrained Optimization with Ensemble Stochastic Gradient Sequential Quadratic Programming-Filter Algorithm, 2021, SPE Journal
  • Joint Optimization of Well Locations, Types, Drilling Order, and Controls Given a Set of Potential Drilling Paths, 2020, SPE Journal
  • Optimizing vertical and deviated wells based on advanced initialization using new productivity potential map, 2020, Journal of Petroleum Science and Engineering

Albert C. Reynolds frequently publishes in venues including:

  • SLEEP Advances
  • SPE Journal
  • Journal of Petroleum Science and Engineering
  • SPE Improved Oil Recovery Conference
  • American Journal of Ophthalmology

Collaboration is an important aspect of their research activity. Frequent co-authors include Bastien Lechat, Robert J. Adams, Nicole Lovato, John M. Manners, and Danny J. Eckert, indicating a pattern of sustained collaborative projects across their work.

The breadth of topics addressed in their publications spans both traditional reservoir and well engineering challenges and interdisciplinary investigations involving physiology and respiratory medicine. This highlights the integration of engineering approaches with biological and medical applications such as obstructive sleep apnea research and neuroscience of respiration.

Best Publications

  • Inverse Theory for Petroleum Reservoir Characterization and History Matching

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

  • Ensemble smoother with multiple data assimilation

    Alexandre A. Emerick;Albert C. Reynolds

  • THE ENSEMBLE KALMAN FILTER IN RESERVOIR ENGINEERING-A REVIEW

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

  • History Matching of Three-Phase Flow Production Data

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

  • Boundary conditions for the numerical solution of wave propagation problems

    Albert C. Reynolds

  • Results of the Brugge Benchmark Study for Flooding Optimization and History Matching

    E.. Peters;R.J.. J. Arts;G.K.. K. Brouwer;C.R.. R. Geel

  • An Improved Implementation of the LBFGS Algorithm for Automatic History Matching

    Guohua Gao;Albert C. Reynolds

  • Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and EnKF

    Guohua Gao;Mohammad Zafari;Albert C. Reynolds

  • Assessing the Uncertainty in Reservoir Description and Performance Predictions With the Ensemble Kalman Filter

    Mohammad Zafari;Albert Coburn Reynolds

  • 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

  • Production Optimization in Closed-Loop Reservoir Management

    Chunhong Wang;Gaoming Li;Albert C. Reynolds

  • Conditioning Permeability Fields to Pressure Data

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

  • History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations

    Alexandre A. Emerick;Albert C. Reynolds

  • A stochastic simplex approximate gradient (StoSAG) for optimization under uncertainty

    Rahul Rahul-Mark Fonseca;Bailian Chen;Jan Dirk Jansen;Albert Reynolds

  • Investigation of the sampling performance of ensemble-based methods with a simple reservoir model

    Alexandre A. Emerick;Albert C. Reynolds

  • Conditioning Geostatistical Models to Two-Phase Production Data

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

  • New pressure transient analysis methods for naturally fractured reservoirs

    K. Serra;A.C. Reynolds;R. Raghavan

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

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

  • Iterative Ensemble Kalman Filters for Data Assimilation

    Gaoming Li;Albert C. Reynolds

  • Robust Constrained Optimization of Short- and Long-Term Net Present Value for Closed-Loop Reservoir Management

    Chaohui Chen;Gaoming Li;Albert Reynolds

Frequent Co-Authors

Dean S. Oliver
Dean S. Oliver NORCE Research
Rajagopal Raghavan
Rajagopal Raghavan Phillips 66 (United States)
Jan Dirk Jansen
Jan Dirk Jansen Delft University of Technology
Jun Yao
Jun Yao China University of Petroleum, Beijing

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