Albert Reynolds, PhD

Albert Reynolds, PhD
Research Professor of Petroleum Engineering and Mathematics
College of Engineering & Natural Sciences
Mathematics
Petroleum Engineering
918-631-3043 Stephenson Hall Room 2285

Education

PhD – Case Western Reserve University MS – Case Institute of Technology BA – University of New Hampshire

Research Interests

Assisted History Matching
Waterflooding
Optimization
Closed-loop Reservoir Management
Uncertainty Quantification
Optimal Well Placement and Control
Data-driven Models for Prediction and Control Reservoir Simulation
Multiphase Flow Well Testing

Teaching Interests

Reservoir Engineering
Reservoir Simulation
Optimization
Well Testing
Inverse Problems
Closed-loop Reservoir Management

Publications

Journal Articles

  • Diego F. Oliveira, Albert C. Reynolds and Jan Dirk Jansen: An Improved Multiscale Method for Life-Cycle Production Optimization, Computational Geosciences Online First (Oct. 2015) 21 pages.

  • Xin Liu and Albert C. Reynolds: “Gradient-Base Multiobjective Optimization with Ap- plication to Waterflooding Optimization,” Computational Geosciences Online First (Sept. 2015).

  • D. F. Oliveira and A. C. Reynolds: “Hierarchical Multiscale Methods for Life-Cycle Production Optimization: A Field Case Study,” paper SPE 173273, SPE Journal Online (August, 2015)

  • Fahim Forouzanfar, Walter Poquioma and Albert C. Reynolds: “A Covariance Ma- trix Adaptation Algorithm for Simultaneous Estimation of Optimal Placement and Control of Production and Water Injection Wells,” paper SPE 173256, SPE Journal Online (Oct. 2015).

  • Bailian Chen and Albert C. Reynolds: “Ensemble-Based Optimization of the WAG Injection Process,” paper SPE 173217, SPE Journal Online (Oct. 2015).

  • Fahim Forouzanfar, Adolfo P. Pires and Albert C. Reynolds: “Formulation of a Transient Multi-Phase Thermal Compositional Wellbore Model and its Coupling with a Thermal Compositional Reservoir Simulator,” paper SPE 174749, Proceedings of the SPE ATCE, Houston, Texas, USA, 28-30 September 2015.

  • Hui Zhao, Zhijiang Kang, Xiansong Zhang, Haitao Sun, Lin Cao and Albert C. Reynolds: INSIM, a Data-Driven Model for History Matching and Prediction for Waterflooding Monitoring and Management with a Field Application, paper SPE 173213, Proceedings of the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February 2015.

  • Duc H. Le and Albert C. Reynolds: “Estimation of Mutual Information and Conditional Entropy for Surveillance Optimization,” SPE Journal, (August 2014), Vol. 19, No. 4, 648-651.

  • Duc H. Le and Albert C. Reynolds: “Optimal Choice of a Surveillance Operation Using Information Theory,” Computational Geosciences, Special Issue on: SELECTED CONTRIBUTIONS FROM THE 13TH EUROPEAN CONFERENCE ON THE MATHEMATICS OF OIL RECOVERY (ECMOR XIII) (August 2014), Vol. 18, No. 3-4, 505-518.

  • Oliveira, D., and A. Reynolds. Hierarchical Optimization under Geological Uncertainty. 2014.
  • D. F. Oliveira and A. C. Reynolds: “An Adaptive Hierarchical Algorithm for Estimation of Optimal Well Controls,” SPE Journal (Oct. 2014) Vol. 15, Issue 5, 909-930.

  • Oliveira, D., and A. Reynolds. An Improved Multiscale Method for Life-Cycle Production Optimization. The University of Tulsa, 2014.
  • Xin Liu and Albert C. Reynolds: Gradient-Base Multiobjective Optimization with Application to Waterflooding Optimization, Proceedings of 14th European Conference on the Mathematics of Oil Recovery (ECMOR XIV), Catania, Sicily, (Sept.8-11, 2014) presented by A. C. Reynolds.

  • Oliveira, D., and A. Reynolds. Hierarchical Multiscale Methods for Life-Cycle Production Optimization: A Real Field Case Study. The University of Tulsa, 2014.
  • Forouzanfar, Fahim and Reynolds, Albert C.: “Joint Optimization of Number of Wells, Well Locations and Controls Using A Gradient-Based Algorithm,” Chemical Engineering Research and Design, Vol. 92 (July, 2014), 1315-1328.

  • Xia Yan and Albert C. Reynolds: “An Optimization Algorithm Based on Combining Finite-Difference Approximations and Stochastic Gradients,” SPE Journal (Oct. 2014) Vol. 15, Issue 5, 873 – 890.

  • Oliveira, D., and A. Reynolds. Hierarchical Optimization under Geological Uncertainty. The University of Tulsa, 2014.
  • Fahim Forouzanfar, Adolfo P. Pires and Albert C. Reynolds: Correlation of Pure Water Saturation Properties by Equations of State Using the Association Concept, paper SPE 169082, Proceedings of the SPE Improved Oil Recovery Symposium, Tulsa, OK, USA, 12-16 April 2014.

  • Zhao, Hui, Li, Gaoming, Reynolds, Albert C. and Yao, Jun: “Large Scale History Matching with Quadratic Interpolation Models,” Computational Geosciences, Vol. 17, No. 1, (2013), 117-138.

  • Zhao, H., C. Chen, S. Do, D. Oliveira, G. Li, and A. Reynolds. Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization. Vol. 18, SPE Journal, 2013, pp. 1012–1025.
  • Le, D., and A. Reynolds. “Estimation of Mutual Information and Conditional Entropy for Surveillance Optimization”. 2013 SPE Reservoir Simulation Symposium, Society of Petroleum Engineers, 2013.
  • Oliveira, D., and A. Reynolds. An Adaptive Hierarchical Multiscale Algorithm for Estimation of Optimal Well. SPE Journal, 2013.
  • Zhao, Hui, Chen, Chaohui, Do, Sy, Oliveira, Diego, Li, Gaoming and Reynolds, Albert C.: “Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization,” SPE Journal (Dec. 2013), 1012-1025.

  • Do, Sy and Reynolds, Albert C.: “Theoretical Connections Between Optimization Algorithms Based on an Approximate Gradient,” Computational Geosciences, Vol. 17, Issue 6 (Dec. 2013), 959-973.

  • Emerick, Alexandre A. and Reynolds, Albert C.: “Ensemble Smoother with Multiple Data Assimilations,” Computers & Geosciences, Vol. 55, 3-15, 2013. (Special issue on Ensemble Kalman Filter for Data Assimilation.)

  • Emerick, Alexandre A. and Reynolds, Albert C.: “Investigation of the Sampling Perfor- mance of Ensemble-Based Methods with a Simple Reservoir Model,” Computational Geosciences, Vol. 17, No. 2 (2013) 325-350.

  • Forouzanfar Fahim, Ernesto Della Rossa, Roberta Russo and Albert C. Reynolds: “Life- Cycle Optimization of an Oil Field with an Adjoint-Based Gradient Approach,” Journal of Petroleum Science and Engineering, Vol. 112 (2013) 351-358.

  • Forouzanfar, F., and A. Reynolds. Well-Placement Optimization Using a Derivative-Free Method. Vol. 109, Journal of Petroleum Science and Engineering, 2013, pp. 96 – 116.
  • Emerick, A.A. and Reynolds, A.C.: “History Matching Time-Lapse Seismic Data Using the Ensemble Kalman Filter With Multiple Data Assimilations,” Computational Geosciences, Vol. 16, No. 3 (2012) 639-659.

  • Emerick, A., and A. Reynolds. Investigation on the Sampling Performance of Ensemble-Based Methods. Computational Geosciences, 2012.
  • Forouzanfar, F., Reynolds, A.C. and Li, G: “Optimization of the Well Locations and Completions for Vertical and Horizontal Wells using a Derivative-Free Optimization Algorithm,” Journal of Petroleum Science and Engineering, Vol. 86-87 (May 2012) 272-288.

  • Emerick, A., and A. Reynolds. Combining the Ensemble Kalman Filter With Markov Chain Monte Carlo for Improved History Matching and Uncertainty Characterization. Vol. 17, SPE Journal, 2012, pp. 639–659.
  • Chaohui Chen , Gaoming Li, and Albert C. Reynolds, “Robust Constrained Optimization of Short and Long-Term NPV for Closed-Loop Reservoir Management,” SPE Journal, Vol. 17, No. 3 (Sept. 2012), 849-864.

  • Emerick, Alexandre A. and Reynolds, Albert C.: “Combining the Ensemble Kalman Filter with Markov Chain Monte Carlo for Improved History Matching and Uncertainty Characterization,” paper SPE-141336, SPE Journal Vol. 17, No. 2 (June 2012), 418-440.

  • Le, Duc and Reynolds, A. C.: Optimal Choice of a Surveillance Operation Using Information Theory, ECMOR XIII – 13th European Conference on the Mathematics of Oil Recovery, Biarritz, France, 10-13 September 2012.

  • Emerick, A., and A. Reynolds. “Combining the Ensemble Kalman Filter With Markov Chain Monte Carlo for Improved History Matching and Uncertainty Characterization”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 21–23 February, 2011.
  • Chen, C., G. Li, and A. Reynolds. “Robust Constrained Optimization of Short and Long-Term NPV for Closed-Loop Reservoir Management”. Proceedings of SPE Reservoir Simulation Symposium, 2011.
  • Emerick, A., and A. Reynolds. “History Matching a Field Case Using the Ensemble Kalman Filterwith Covariance Localization”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 21–23 February, 2011.
  • Tavakoli, R., and A. Reynolds. Monte Carlo Simulation of Permeability Fields and Reservoir Performance Predictions With SVD Parameterization in RML Compared With EnKF. Vol. 15, Computational Geosciences, 2011.
  • Li, Gaoming and Reynolds, A. C.: “Uncertainty Quantification of Reservoir Perfor- mance Predictions Using a Stochastic Optimization Algorithm,” in Computational Geosciences, Vol. 15, No. 3 (June 2011), 451-462.

  • Han, Mei, Li, Gaoming and Reynolds, A. C.: “Application of EM Algorithms for Seismic Facies Classification,” Computational Geosciences, Vol. 15, No. 3 (June 2011) 421 – 429.

  • Emerick, A. and Reynolds, A. C.: “Combining Sensitivities and Prior Information for Covariance Localization in the Ensemble Kalman Filter for Petroleum Reservoir Applications,” Computational Geosciences, Vol. 15, No. 2 (March 2011), 251-269.

  • Emerick, A., and A. Reynolds. Combining the Ensemble Kalman Filter With Markov Chain Monte Carlo for Improved History Matching and Uncertainty Characterization. accepted for SPE Journal, 2011.
  • Emerick A. A. and Reynolds, A. C.: “History Matching a Field Case Using the En- semble Kalman Filter with Covariance Localization,” SPE Reservoir Evaluation & Engineering, Vol. 14, No. 4 (August 2011), 443-452.

  • Tavakoli, R., and A. Reynolds. Monte Carlo Simulation of Permeability Fields and Reservoir Performance Predictions With SVD Parameterization in RML Compared With EnKF. Vol. 15, Computational Geosciences, 2011, pp. 99–116.
  • Zhao, H., C. Chen, S. Do, G. Li, D. Oliveira, and A. Reynolds. Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization. The University of Tulsa, 2011.
  • Peters, L., R. Arts, G. Brouwer, C. Geel, S. Cullick, R. Lorentzen, Y. Chen, K. Dunlop, F. Vossepoel, R. Xu, P. Sarma, A. Alhuthali, and A. Reynolds. Results of the Brugge Benchmark Study for Flooding Optimisation and History Matching. Vol. 13, SPE Reservoir Evaluation & Engineering, 2010, pp. 391–405.
  • Li, G., and A. Reynolds. Uncertainty Quantification of Reservoir Performance Predictions Using a Modification of SPSA Algorithm. Vol. 15, Computational Geosciences, 2010, pp. 451–462.
  • Chen, Chaohui, Wang, Yudou, Li, Gaoming and Reynolds, A. C.: “Closed-Loop Reser- voir Management on the Brugge Test Case,” Computational Geosciences, Vol. 14, No. 4 (Sept. 2010), 691-703.

  • Zhang, Kai, Li, Gaoming Li, Reynolds, A. C., Zhang, Liming and Yao, Jun: “Optimal Well Placement Using an Adjoint Gradient,” Journal of Petroleum Science and Engineering, Vol. 73, No. 3-4 (Sept. 2010), 220-226.

  • Wang, Y., Li, G. and Reynolds, A. C.: “Estimation of Depths of Fluid Contacts and Relative Permeability Curves by History Matching Using Iterative Ensemble Kalman Smoothers,” SPE Journal, Vol. 15, No. 2 (June 2010) 509-525.

  • Tavakoli, R. and Reynolds, A. C.: “History Matching With Parameterization Based on the SVD of a Dimensionless Sensitivity Matrix,” SPE Journal Vol. 15, No. 12 (June 2010), 495-508.

  • Li, Gaoming, Han, Mei, Banerjee, R. and Reynolds, A. C.: “Integration of Well Test Pressure Data Into Heterogenous Geological Reservoir Models,” SPE Reservoir Evaluation & Engineering (June 2010), 496-508.

  • Peters, E., Arts, R.J., Brouwer, G.K., Geel, C.R., Cullick, S., Lorentzen R.J., Chen, Y., Dunlop, K. N. B., Vossepoel, F., Xu, R., Sarma, P., Alhutali, A.H., and Reynolds, A. C.: “Results of The Brugge Benchmark Study For Flooding Optimization And History Matching,” SPE Reservoir Evaluation & Engineering, Vol 13, No. 3 (June 2010), 391-405.

  • Boughrara, A. A. and Reynolds, A. C.: “Analysis of Injection/Falloff Data From Horizontal Wells,” SPE Journal, Vol. 14, No. 4 (Dec. 2009), 721-736.

  • Eydinov, D. Gao, G., Li, G. and Reynolds, A.C.: “Simultaneous Estimation of Relative Permeability and Porosity/Permeability Fields by History Matching Production Data,” Canadian Journal of Petroleum Technology (Dec. 2009), 13-25.

  • Wang, C., G. Li, and A. Reynolds. “Production Optimization in the Context of Closed-Loop Reservoir Management, SPE 109805”. SPE Journal, Vol. 14, 2009, pp. 506-23.
  • Aanonsen, S., G. Nævdal, D. Oliver, A. Reynolds, and B. Vallés. Review of Ensemble Kalman Filter in Petroleum Engineering. Vol. 14, SPE Journal, 2009, pp. 393–412.
  • Aanonsen, S. I., Nævdal, G., Oliver, D. S., Reynolds, A. C. and Vallès, B.: “Ensemble Kalman Filter in Reservoir Engineering – A Review,” SPE Journal (Sept. 2009), 393-412.

  • Wang, C., Li, G. and Reynolds, A. C.: “Production Optimization in the Context of Closed-Loop Reservoir Management,” SPE Journal, Vol. 14, No. 3 (Sept. 2009), 506-523.

  • Li, G. and Reynolds, A. C.: “Iterative Ensemble Kalman Filters for Data Assimilation,” SPE Journal, Vol. 13, No. 3 (Sept. 2009), 496-505.

  • Chen, Shi, Li, Gaoming, Peres, Alvaro and Reynolds, A. C.: “A Well Test for In-Situ Determination of Relative-Permeability Curves,” Reservoir Evaluation & Engineering, Vol. 11, No. 1 (February 2008), 95-107.

  • Wang, C., G. Li, and A. Reynolds. “Production Optimization in Closed-Loop Reservoir Management”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2007.
  • Li, G., and A. Reynolds. “Iterative Ensemble Kalman Filters for Data Assimilation”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2007.
  • Zhao, Y., Li, G. and Reynolds, A. C.: “Characterization of the Measurement Error in Time-Lapse Seismic Data and Production Data With an EM Algorithm,” Oil & Gas Science and Technology – Revue de l’IFP, Vol. 62, No. 2 (2007) 181-193.

  • Zafari, Mohammad and Reynolds, A. C.: “Assessing the Uncertainty in Reservoir De- scription and Performance Predictions with the Ensemble Kalman Filter,” SPE Journal, Vol. 12, No. 3 (September 2007), 382–391.

  • Boughrara, A. A., Peres, A. M. M., Chen, S., Machado, A. A. V. and Reynolds, A. C.: “Approximate Analytical Solutions for the Pressure Response at a Water Injection Well,” SPE Journal, Vol. 12, No. 1 (March 2007), 19–34.

  • Gao, Guohua, Li, Gaoming and Reynolds, A. C.: “A Stochastic Algorithm for Automatic History Matching,” SPE Journal, Vol. 12, No. 2 (June 2007), 196-208.

  • Gao, Guohua, Zafari, Mohammad and Reynolds, A. C.: “Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and EnKF,” SPE Journal (Dec. 2006), 506–515.

  • Gao, Guohua, Zafari, Mohammad and Reynolds, A. C.: “Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and EnKF,” SPE Journal, Vol. 11, No. 4 (Dec. 2006), 506–515.

  • Reynolds, A., M. Zafari, and G. Li. “Iterative Forms of the Ensemble Kalman Filter”. Proceedings of 10th European Conference on the Mathematics of Oil Recovery, 2006.
  • Peres, A. M. M., Boughrara, A. A., and Reynolds, A. C.: “Rate Superposition for Generating Pressure Falloff Solutions for Vertical and Horizontal Wells,” SPE Journal, Vol. 11, No. 3 (Sept. 2006), 364–374.

  • Gao, Guohua and Reynolds, A. C.: “An Improved Implementation of the LBFGS Al- gorithm for Automatic History Matching,” paper SPE-90058, SPE Journal, Vol. 11, No. 1 (March 2006), 5–17.

  • Zafari, M., G. Li, and A. Reynolds. “Iterative Forms of the Ensemble Kalman Filter”. Proceedings of the 10th European Conference on the Mathematical Oil Recovery – Amsterdam, 4-7 September, 2006.
  • Chen, S., G. Li, A. Peres, and A. Reynolds. “A Well Test for In-Situ Determination of Relative Permeability Curves”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2005.
  • Reynolds, A. Applications of Singular Value Decomposition in Automatic History Matching. Unpublished Manuscript, 2005, p. February.
  • Zafari, M., and A. Reynolds. “Assessing the Uncertainty in Reservoir Description and Performance Predictions With the Ensemble Kalman Filter, SPE 95750”. Proceedings of the 2005 SPE Annual Technical Conference and Exhibition, 2005.
  • Zhang, F., Skjervheim, J. A., Reynolds, A. C. and Oliver, D. S.: “Automatic History Matching in a Bayesian Framework, Example Applications,” SPE Reservoir Evaluation and Engineering, Vol. 8, No. 3 (June 2005), 214-223.

  • Gao, G., G. Li, and A. Reynolds. “A Stochastic Algorithm for Automatic History Matching”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Reynolds, A. C., Li, R. and Oliver, D. S.: “Estimation of Relative and Absolute Permeability by History Matching of Three-Phase Flow Production Data,” J. Canadian Pet. Tech. (March, 2004) 37-46.

  • Reynolds, A., R. Li, and D. Oliver. Simultaneous Estimation of Absolute and Relative Permeability by Automatic History Matching of Three-Phase Flow Production Data. Vol. 43, J. Canadian Pet. Tech., 2004, pp. 37–46.
  • Zhang, F., J. Skjervheim, A. Reynolds, and D. Oliver. “Automatic History Matching in a Bayesian Framework: Example Applications”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2003.
  • Zhang, F., Reynolds, A. C. and Oliver, D. S.: “The Impact of Upscaling Errors on Conditioning a Stochastic Channel to Pressure Data,” SPE Journal, Vol. 8, No. 1 (March 2003), 13-21.

  • Zhang, F., Reynolds, A. C. and Oliver, D. S.: “Conditioning a Stochastic Channel to Pressure Data: Generation of an Initial Guess for the Levenberg-Marquardt Algorithm,” Mathematical Geology, Vol. 35, No. 1 (Jan. 2003), 67-88.

  • Li, R., Reynolds, A. C. and Oliver, D. S.: “History Matching of Three-Phase Production Flow Production Data,” SPE Journal, Vol. 8, No. 4 (Dec. 2003), 328-340.

  • Peres, A. M. M. and Reynolds, A. C.: “Theory and Analysis of Injectivity Tests on Horizontal Wells,” SPE Journal, Vol. 8, No. 2, (June 2003) 147-159.

  • Li, R., Reynolds, A. C. and Oliver, D. S.: “Sensitivity Coefficients for Three-Phase Flow History Matching,” J. Canadian Pet. Tech., Vol. 42, No. 1 (April 2003), 70-77.

  • Onur, M. and Reynolds, A. C.: “Nonlinear Regression: the Information Content of Pressure and Pressure Derivative Data,” SPE Journal, Vol. 7, No. 3 (September 2002), 243-249.

  • Zhang, F., Reynolds, A. C. and Oliver, D. S.: “Evaluation of the Reduction in Uncertainty Obtained by Conditioning a Stochastic Channel to Multiwell Pressure Data,” Mathematical Geology, Vol. 34, No. 6 (August 2002), 715-742.

  • Reynolds, A., R. Li, and D. Oliver. “Simultaneous Estimation of Absolute and Relative Permeability by Automatic History Matching of Three-Phase Flow Production Data”. Proceedings of the Canadian International Petroleum Meeting, 2001.
  • Li, R., A. Reynolds, and D. Oliver. “History Matching of Three-Phase Flow Production Data”. Proceedings of the SPE Reservoir Simulation Symposium, 2001.
  • Peres, A., and A. Reynolds. “Theory and Analysis of Injectivity Tests on Horizontal Wells”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2001.
  • Li, R., A. Reynolds, and D. Oliver. “Sensitivity Coefficients for Three-Phase Flow History Matching”. Proceedings of the Canadian International Petroleum Meeting, 2001.
  • Abacioglu, Y., D. S. Oliver, and A. C. Reynolds: Efficient history-matching using subspace vectors,” Computational Geosciences, Vol. 5, No. 2 (2001), 151–172.

  • Oliver, D. S., A. C. Reynolds, Z. Bi, and Y. Abacioglu: “Integration of production data into reservoir models,” Petroleum Geoscience, Vol. 7, No. SUPP (2001), S65–S73.

  • Bi, Zhuoxin, D. S. Oliver, and A. C. Reynolds: “Conditioning 3D stochastic channels to pressure data,” Soc. Petrol. Eng. J., Vol. 5, No. 4, (2000), 474–484.

  • He, N., D. S. Oliver, and A. C. Reynolds: “Conditioning stochastic reservoir models to well-test data,” SPE Reservoir Evaluation & Eng., Vol. 3, No. 1, (2000), 74–79.

  • Bi, Z., D. Oliver, and A. Reynolds. “Conditioning 3D Stochastic Channels to Pressure Data”. Proceedings of the SPE Annual Technical Conference and Exhibition, 1999.
  • Wu, Z., Reynolds, A. C. and Oliver, D. S.: Conditioning Geostatistical Model to Two- Phase Production Data, SPE Journal, Vol. 3, No. 2 (June 1999), 142-155.

  • Banerjee, R., Thompson, L. G. and Reynolds, A. C.: Injection/Falloff Testing in Heterogeneous Reservoirs, paper SPE 38721, SPE Reservoir Evaluation & Eng., Vol. 1, No. 6 (Dec. 1998), 519-527.

  • Bonet-Cunha, L., Oliver, D.S., Redner, R.A. and Reynolds, A.C.: Hybrid Markov Chain Monte Carlo Method for Generating Permeability Fields Conditioned to Multiwell Pressure Data and Prior Information, SPE Journal, Vol. 11, No. 3 (Sept. 1998), 261-271.

  • Onur, M. and Reynolds, A.C.: Numerical Laplace Transformation of Sampled Data for Well-Test Analysis, SPE Reservoir Evaluation & Eng. (June 1998), 268-276.

  • He, N., D. Oliver, and A. Reynolds. “Conditioning Stochastic Reservoir Models to Well-Test Data”. Proceedings of the SPE Annual Technical Conference and Exhibition, 1997.
  • Oliver, D. S., Cunha, L. B. and Reynolds, A. C.: Markov Chain Monte Carlo Methods for Conditioning a Permeability Field to Pressure Data, Mathematical Geology, Vol. 29, No. 1 (1997), 61-91.

  • Thompson, L. G. and Reynolds, A. C.: Pressure Transient Analysis for Gas Condensate Reservoirs, In Situ, Vol. 21, No. 2 (1997), 101-144.

  • He, N., Reynolds, A. C. and Oliver D. S.: Three-Dimensional Reservoir Description From Multiwell Pressure Data and Prior Information, SPE Journal, Vol. 3, No. 1 (Sept. 1997), 312-327.

  • Thompson, L. G. and Reynolds, A. C.: Well Testing for Radially Heterogeneous Reservoirs Under Single and Multiphase Flow Conditions, SPE Formation Evaluation, Vol. 12, No. 1 (March 1997), 57-64.

  • Reynolds, A. C., He, N., Chu, L. and Oliver, D. S.: Reparameterization Techniques for Generating Reservoir Descriptions Conditioned to Variograms and Well-Test Pressure Data, Soc. Pet. Eng. J., Vol. 1, No. 4 (Dec. 1996), 413-426.

  • Carvalo, R., Redner, R. A., Thompson, L. G. and Reynolds, A. C.: Simple Procedures for Imposing Constraints for Nonlinear Least Squares Optimization, Soc. Pet. Eng. J. (Dec. 1996), 395-402.

  • Hatzignatiou, D. G. and Reynolds, A. C.: Determination of Effective or Relative Permeability Curves from Well Tests, paper SPE 20537, Soc.Pet Eng. J., Vol. 1, No. 1 (March 1996), 69-82.

  • Chu, L. Reynolds, A. C. and Oliver, D. S.: Computation of Sensitivity Coefficients for Conditioning the Permeability Field to Well-Test Pressure Data, In Situ, Vol. 19, No. 2 (1995), 179-223.

  • An Art2-Bp Supervised Neural Net. Vol. 3, World Congress on Neural Networks, 1994, pp. 5–9.
  • Feitosa, G. S., Chu, L., Thompson, L. G., and Reynolds, A. C.: Determination of Permeability Distributions From Well-Test Pressure Data, Journal Petroleum Technology (July 1994), 607-615.

  • Hatzingnatiou, D. G., Peres, A. M. M., and Reynolds, A. C.: Effect of Wellbore Storage on the Analysis of Multiphase Flow Pressure Data, SPE Formation Evaluation (Sept. 1994), 219–227.

  • Hatzingnatiou, D. G., Peres, A. M. M., and Reynolds, A. C.: Supplement to SPE 19841, Effect of Wellbore Storage on the Analysis of Multiphase Flow Pressure Data, paper SPE 29096 (Sept.1994) available from SPE Book Order Department, Richardson, TX.

  • Peres, A. M. M., Onur, M., and Reynolds, A. C.: A New General Pressure Analysis Procedure for Slug Tests, SPE Formation Evaluation (Dec. 1993), 292-298.

  • Onur, M., Peres, A. M. M., and Reynolds, A. C.: New Well Testing Pressure Functions With Applications, SPE Formation Evaluation (June 1993), 135–144.

  • Onur, M., Peres, A. M. M., and Reynolds, A. C.: Supplement to SPE 19514, New Well Testing Pressure Functions with Applications, paper SPE 26214, available from SPE Book Order Dept. (June 1993) Richardson, TX.

  • Onur, M., Serra, K. V., and Reynolds, A. C.: Analysis of Pressure Buildup Data Obtained at a Well Located in a Multiwell System, SPE Formation Evaluation (March 1991), 101-110.

  • Onur, M., Serra, K. V., and Reynolds, A. C.: Supplement to SPE 18123, Analysis of Pressure Buildup Data From a Well in a Multiwell System, paper SPE 22211, available from SPE Book Order Dept., (March 1991).

  • Peres, A. M. M., Macias-Chapa, L. Serra, K. V., and Reynolds, A. C.: Supplement to SPE 18530, Well-Conditioning Effects on Bubblepoint Pressure of Fluid Samples from Solution-Gas Drive Reservoirs, paper SPE 21478, available from SPE Book Order Dept., December 1990.

  • Peres, A. M. M., Macias-Chapa, L., Serra, K. V., and Reynolds, A. C.: Well-Conditioning Effects on Bubblepoint Pressure of Fluid Samples From Solution-Gas Drive Reservoirs, SPE Formation Evaluation (December 1990) 389-398.

  • Ding, W., Onur, M., and Reynolds, A. C.: Analysis of Gas Well Late-Time Pressure and Rate Data, Journal of Petroleum Science and Engineering, Vol. 4, (1990) 293-307.

  • Peres, A. M. M., Serra, K. V., and Reynolds, A. C.: Towards a Unified Theory of Well Testing for Nonlinear Radial Flow Problems, SPE Formation Evaluation, Vol. 5, No. 2 (June 1990), 151-160.

  • Serra, K. V., Peres, A. M. M., and Reynolds, A. C.: Well Test Analysis for Solution-Gas Drive Reservoirs – Part I: Determination of Relative and Absolute Permeabilities, SPE Formation Evaluation, Vol. 5, No. 2 (June 1990) ,124-132.

  • Peres, A. M. M., Serra, K. V., and Reynolds, A. C.: Supplement to Towards a Unified Theory of Well Testing for Nonlinear-Radial-Flow Problems with Application to Interference Tests, paper SPE 20402, available from the SPE Book Order Department (June 1990).

  • Serra, K. V., Peres, A. M. M., and Reynolds, A. C.: Well Test Analysis for Solution- Gas Drive Reservoirs – Part II: Buildup Analysis, SPE Formation Evaluation (June 1990) 133-140.

  • Serra, K. V., Peres, A. M. M., and Reynolds, A. C.: Well Test Analysis for Solution-Gas Drive Reservoirs – Part III: A Unified Treatment of the Pressure Squared Method, SPE Formation Evaluation (June 1990) 141–150.

  • Onur, M. and Reynolds, A. C.: Interference Testing of a Two-Layer Commingled Reservoirs, SPE Formation Evaluation (December 1989) 595-603.

  • Onur, M. and Reynolds, A. C.: SPE 20016 Supplement to SPE 15132, Interference Testing of a Two-Layer Commingled Reservoir, (December 1989) available from SPE Book Order Department.

  • Onur, M., Yeh, N., and Reynolds, A. C.: New Applications of the Pressure Derivative in Well Test Analysis, SPE Formation Evaluation (September 1989) 429-437.

  • Peres, A. M. M., Onur, M., and Reynolds, A. C.: A New Analysis Procedure for Determining Aquifer Properties From Slug Test Data, Water Resources Research (July 1989) 1591-1602.

  • Yeh, N. and Reynolds, A. C.: Supplement to SPE 15793, Computation of the Pseudoskin Factor Caused by a Restricted-Entry Well Completed in a Multilayer Reservoir, paper SPE 19515, available from SPE Book Order Department (June 1989).

  • Onur, M. and Reynolds, A. C.: A New Approach for Constructing Derivative Type Curves for Well Test Analysis, SPE Formation Evaluation (March 1989) 81-89.

  • Yeh, N. and Reynolds, A. C.: Analysis of Pressure Data from a Restricted-Entry Well in a Multilayered Reservoir, SPE Formation Evaluation, (March 1989) 81-89.

  • Ding, W. and Reynolds, A. C.: Computation of Pseudoskin Factor for a Restricted-Entry Well, SPE Formation Evaluation, Vol. 4, No. 2 (March 1994), 9-14.

  • Reynolds, A. C., Bratvold, R., and Ding, W.: Semilog Analysis of Gas Well Drawdown and Buildup Data, SPE Formation Evaluation (December 1987) 657-670.

  • Camacho-V, R., Raghavan, R., and Reynolds, A. C.: Response of Well Producing Layers Reservoirs: Unequal Fracture Length, SPE Formation Evaluation, (March 1987) 9-28.

  • Thompson, L. G., Jones, J., and Reynolds, A. C.: Analysis of Pressure Buildup Data Influenced by Wellbore Phase Redistribution Effects, SPE Formation Evaluation (October 1986) 435-452.

  • Thompson, L. G. and Reynolds, A. C.: Analysis of Variable-Rate Well Test Pressure Data Using Duhamel’s Principle, SPE Formation Evaluation (October 1986) 453-469.

  • Bennett, C. O., Reynolds, A. C., Raghavan, R., and Elbel, J.: Performance of Finite Conductivity Vertically Fractured Wells in Single-Layer Reservoirs, SPE Formation Evaluation (August 1986) 399-412.

  • Bennett, C. O., Raghavan, R., and Reynolds, A. C.: Analysis of Finite-Conductivity Fractures Intercepting Multilayer Reservoirs, SPE Formation Evaluation (June 1986) 259-274.

  • Prijambodo, R., R. Raghavan, and A. Reynolds. Well Test Analysis for Wells Producing Layered Reservoirs With Crossflow. SPE Journal, 1985, pp. 380–396.
  • Bennett, C. O., Camacho-V, R., Reynolds, A. C., and Raghavan, R.: Approximate Solutions for Fractured Wells Producing Layered Reservoirs, Society of Petroleum Engineers Journal (October 1985) 729-742.

  • Chen, C. C., Serra, K. V., Reynolds, A. C., and Raghavan, R.: Pressure Transient Analysis Methods for Bounded Naturally Fractured Reservoirs, Society of Petroleum Engineers Journal (June 1985) 451-464.

  • Reynolds, A. C., Chang, W. L., Yeh, N., and Raghavan, R.: The Wellbore Pressure Response in Naturally Fractured Reservoirs, Journal of Petroleum Technology (May 1985) 908-920.

  • Chen, C. C., Yeh, N., Raghavan, R., and Reynolds, A. C.: Pressure Response at Observation Wells in Fractured Reservoirs, Society of Petroleum Engineers Journal (December 1984) 628-638.

  • Reynolds, A. C., Chen, J. C., and Raghavan, R.: Pseudoskin Factor Due to Partial Penetration, Journal of Petroleum Technology (December 1984) 2197-2210.

  • Chu, W. C., Reynolds, A. C., and Raghavan, R.: On the Analysis of Well Test Data Influenced by Wellbore Storage, Skin and Bottom Water Drive, Journal of Petroleum Technology (November 1984) 1991-2001.

  • Serra, K. V., Reynolds, A. C., and Raghavan, R.: New Pressure Transient Analysis Methods for Naturally Fractured Reservoirs, Journal of Petroleum Technology (December 1983) 2271-2283.

  • Bennett, C. O., Rosato, N. D., Reynolds, A. C., and Raghavan, R.: Influence of Fracture Heterogeneity and Wing Length on the Response of Vertically Fractured Wells, Society of Petroleum Engineers Journal (April 1983) 219-230.

  • Rosato, D. N., Bennett, C. O., Reynolds, A. C., and Raghavan, R.: Analysis of Short- Time Buildup Data for Finite-Conductivity Fractures, Journal of Petroleum Technology (October 1982) 2413-2422.

  • Raghavan, R., Reynolds, A. C., and Meng, H.: Analysis of Pressure Buildup Data Following a Short Flow Period, Journal of Petroleum Technology (April 1982) 904-916.

  • Bennett, C. O., Reynolds, A. C.,and Raghavan, R.: Analysis of Pressure Data From Vertically Fractured Injection Wells, Society of Petroleum Engineers Journal (February 1981) 5-19.

  • Reynolds, A. C.: Boundary Conditions for the Numerical Solution of Wave Propagation Problems, Geophysics,, Vol. 23 (1978) 1099-1110.

  • Thomas, G. W., Keys, R. G., and Reynolds, A. C.: The Computation of Leaky Aquifer Functions, Journal of Hydrology, Vol. 36 (1978) 173-178.

  • Reynolds, A. C.: On a Crank-Nicolson Scheme for Nonlinear Parabolic Equations, Rocky Mountain Journal of Mathematics, The Rocky Mountain Consortium, Vol. 5 (1975) 611-622.

  • Reynolds, A. C.: Asymptotic Behavior of Solutions of Nonlinear Parabolic Equations, Journal of Differential Equations, Vol. 12 (1972) 256-261.

  • Reynolds, A. C.: Convergent Finite Difference Schemes for Nonlinear Parabolic Equations, SIAM Journal of Numerical Analysis, Vol. 9 (1972) 522-532.

  • Xin Liu and Albert C. Reynolds: “A Multiobjective Steepest Descent Method with Applications to Optimal Well Control,” submitted to Computational Geosciences.

Conference Proceedings

  • Duc H. Le, Rami Younis and Albert C. Reynolds: A History Matching Procedure for Non-Gaussian Facies Based on ES-MDA, paper SPE 173233, Proceedings of the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February 2015.

  • Duc H. Le, Alexandre A. Emerick and Albert C. Reynolds: An Adaptive Ensemble Smoother with Multiple Data Assimilation for Assisted History Matching, paper SPE 173214, Proceedings of the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February 2015.

  • Xin Liu and Albert C. Reynolds: “Pareto Optimal Solutions for Minimizing Risk and Maximizing Expected Value of Life-Cycle NPV of Production Under Nonlinear Constraints,” paper SPE 173274, Proceedings of the SPE Reservoir Simulation Sympo-
    sium, Houston, Texas, USA, 23-25 February 2015.

  • Xin Liu and Albert C. Reynolds: Multi-objective Optimization for Maximizing Expectation and Minimizing Uncertainty or Risk with Application to Optimal Well Control, paper SPE 173216, Proceedings of the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February 2015.

  • Xin Liu and Albert C. Reynolds: Gradient-Base Multiobjective Optimization with Application to Waterflooding Optimization, Proceedings of 14th European Conference on the Mathematics of Oil Recovery (ECMOR XIV), Catania, Sicily, (Sept.8-11, 2014) presented by A. C. Reynolds.

  • Reynolds, A. “My Decade-Long Journey Through the Field of Ensemble-Based Data Assimilation”. Proceedings of the Ninth International EnKF Workshop, Bergen, Norway, 23-25 June, 2014.
  • Le, D., and A. Reynolds. “Estimation of Mutual Information and Conditional Entropy for Surveillance Optimization”. 2013 SPE Reservoir Simulation Symposium, Society of Petroleum Engineers, 2013.
  • Oliveira, D., and A. Reynolds. “An Adaptive Hierarchical Algorithm for Estimation of Optimal Well Controls”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA, 18-20 February, 2013.
  • Yan, X., and A. Reynolds. “An Optimization Alorithm Based on Combining Finite Difference Approximations and Stochastic Gradients”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,
    Texas, USA, 18-20 February
    , 2013.
  • Emerick, A., and A. Reynolds. “History-Matching Production and Seismic Data in a Real Field Case Using the Ensemble Smoother With Multiple Data Assimilation”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,
    Texas, USA, 18-20 February
    , 2013.
  • Do, Sy, Forouzanfar, Fahim, and Reynolds, Albert C.: Estimation of Optimal Well Controls Using the Augmented Lagrangian Function with Approximate Derivatives, Proceedings of the International Federation of Automatic Control Workshop on Automatic Control in Offshore Oil and Gas Production (ACOOG 2012), Trondheim, Norway, May 31-June 01, 2012

  • Le, Duc and Reynolds, A. C.: Optimal Choice of a Surveillance Operation Using Information Theory, ECMOR XIII – 13th European Conference on the Mathematics of Oil Recovery, Biarritz, France, 10-13 September 2012.

  • Emerick, A., and A. Reynolds. “Combining the Ensemble Kalman Filter With Markov Chain Monte Carlo for Improved History Matching and Uncertainty Characterization”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 21–23 February, 2011.
  • Chen, C., G. Li, and A. Reynolds. “Robust Constrained Optimization of Short and Long-Term NPV for Closed-Loop Reservoir Management”. Proceedings of SPE Reservoir Simulation Symposium, 2011.
  • Emerick, A., and A. Reynolds. “History Matching a Field Case Using the Ensemble Kalman Filterwith Covariance Localization”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 21–23 February, 2011.
  • Zhao, H., C. Chen, S. Do, G. Li, and A. Reynolds. “Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 21–23 February (accepted for Publication in SPE Journal), 2011.
  • Zhao, H., C. Chen, S. Do, G. Li, D. Oliveira, and A. Reynolds. Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization. The University of Tulsa, 2011.
  • Fahim Forouzanfar, Gaoming Li and A. C. Reynolds, A Two-Stage Well Placement Optimization Method based on the Adjoint Gradient, paper SPE 135304, Proceedings of 2010 SPE Annual Technical Conference and Exhibition, Florence, Tuscany, Italy, 20-22 September 2010.

  • Gaurav Seth, Albert C. Reynolds and Jagan Mahadevan, “Numerical Model for Interpretation of Distributed Temperature Sensor Data during Hydraulic Fracturing”, paper SPE 135603, Proceedings of 2010 SPE Annual Technical Conference and Exhibition to be held in Florence, Tuscany, Italy, 20-22 September 2010.

  • Emilio J. R. Coutinho, Alexandre A. Emerick, Gaoming Li, and A. C. Reynolds, “Con- ditioning Multi-layered Geologic Models to Well Test and Production Logging Data Using the Ensemble Kalman Filter”, paper SPE 134542, Proceedings of 2010 SPE Annual Technical Conference and Exhibition to be held in Florence, Tuscany, Italy, 20-22 September 2010.

  • Emerick, Alexandre A. and Reynolds, Albert C.: EnKF-MCMC, paper SPE 131375, Proceedings of the SPE EUROPEC/EAGE Annual Conference and Exhibition, Barcelona, Spain, 14-17 June 2010.

  • Wang, Y., G. Li, and A. Reynolds. “Estimation of Depths of Fluid Contacts by History Matching Using Iterative Ensemble Kalman Smoothers”. Proccedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, 2–4 February, 2009.
  • Tavakoli, R., and A. Reynolds. “History Matching With Parameterization Based on the SVD of a Dimensionless Sensitivity Matrix”. Proceedings of the SPE Reservoir Simulation Symposium, The Woodlands,Texas, USA, 2–4 February, 2009.
  • Li, G., M. Han, R. Banerjee, and A. Reynolds. “Integration of Well Test Pressure Data Into Heterogeneous Geological Reservoir Models”. Proceedings of the SPE Annual Technical Conference and Exhibition,New Orleans 4-7 Oct., 2009.
  • Zhao, Y., Reynolds, A. C. and Li, G.: Generating Facies Maps by Assimilating Production Data and Seismic Data With the Ensemble Kalman Filter, paper SPE 113990, Proceedings of 2008 SPE Improved Oil Recovery Symposium (April 2008).

  • Wang, C., G. Li, and A. Reynolds. “Production Optimization in Closed-Loop Reservoir Management”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2007.
  • Li, G., and A. Reynolds. “Iterative Ensemble Kalman Filters for Data Assimilation”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2007.
  • Thulin, K., Li, G., Aanonsen, S. I. and Reynolds, A. C.: Estimation of Initial Fluid Contacts by Assimilation of Production Data With EnKF, SPE-109975, Proceedings of the 2007 SPE Annual Technical Conference and Exhibition.

  • Wang, C., Li, G. and Reynolds, A. C.: Optimal Well Placement for Production Optimization, paper SPE 111154, Proceeding of the 2007 SPE Eastern Regional Meeting, (October 2007).

  • Reynolds, A., M. Zafari, and G. Li. “Iterative Forms of the Ensemble Kalman Filter”. Proceedings of 10th European Conference on the Mathematics of Oil Recovery, 2006.
  • Zhao, Y., Li, G. and Reynolds A. C.: Characterizing Data Measurement Errors with the EM Algorithm, Proceedings 10th European Conference on the Mathematics of Oil Recovery, Amsterdam, September 2006.

  • Chen, S., G. Li, A. Peres, and A. Reynolds. “A Well Test for In-Situ Determination of Relative Permeability Curves”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2005.
  • Gao, G., M. Zafari, and A. Reynolds. “Quantifying Uncertainty for the PUNQ-S3 Problem in a Bayesian Setting With RML and EnKF”. Proceedings of the SPE Reservoir Simulation Symposium, 2005, p. 19.
  • Gao, G., G. Li, and A. Reynolds. “A Stochastic Algorithm for Automatic History Matching”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Peres, A., A. Boughrara, S. Chen, A. Machado, and A. Reynolds. “Approximate Analytical Solutions for the Pressure Response at a Water Injection Well”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Peres, A., A. Boughrara, and A. Reynolds. “Rate Superposition for Generating Pressure Falloff Solutions for Vertical and Horizontal Wells”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Gao, Guohua, Zafari, Mohammad and Reynolds, A. C.: The Tengiz Field History Matching Problem Revisited,” paper SPE 90896, Proceedings of the 2004 SPE Annual Technical Conference and Exhibition, Houston, Texas, USA (September, 2004).

  • Gao, G., and A. Reynolds. “An Improved Implementation of the LBFGS Algorithm for Automatic History Matching”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Peres, A., A. Boughrara, S. Chen, A. Machado, and A. Reynolds. “Approximate Analytical Solutions for the Pressure Response at a Water Injection Well”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2004.
  • Zhang, F., J. Skjervheim, A. Reynolds, and D. Oliver. “Automatic History Matching in a Bayesian Framework: Example Applications”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2003.
  • Zhang, F., Skjervheim, J. A. and Reynolds, A. C.: An Automatic History Matching Example,” Proceedings of the EAGE 65th Conference and Exhibition, Stavanger, Norway, (June 2003).

  • Zhang, F. and A. C. Reynolds, Optimization algorithms for automatic history matching of production data, Proceedings 8th European Conference on the Mathematics of Oil Recovery, Sept. 2002.

  • Reynolds, A., R. Li, and D. Oliver. “Simultaneous Estimation of Absolute and Relative Permeability by Automatic History Matching of Three-Phase Flow Production Data”. Proceedings of the Canadian International Petroleum Meeting, 2001.
  • Li, R., A. Reynolds, and D. Oliver. “History Matching of Three-Phase Flow Production Data”. Proceedings of the SPE Reservoir Simulation Symposium, 2001.
  • Peres, A., and A. Reynolds. “Theory and Analysis of Injectivity Tests on Horizontal Wells”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2001.
  • Li, R., A. Reynolds, and D. Oliver. “Sensitivity Coefficients for Three-Phase Flow History Matching”. Proceedings of the Canadian International Petroleum Meeting, 2001.
  • Zhang, F., A. Reynolds, and D. Oliver. “Model Errors Inherent in Conditioning a Stochastic Channel to Pressure Data”. Proceedings of the SPE Annual Technical Conference and Exhibition, 2000.
  • Bi, Z., D. Oliver, and A. Reynolds. “Conditioning 3D Stochastic Channels to Pressure Data”. Proceedings of the SPE Annual Technical Conference and Exhibition, 1999.
  • Abacioglu, Y., Reynolds, A. C. and Oliver, D. S.: Estimating Heterogeneous Anisotropic Permeability Fields From Multiwell Interference Tests: A Field Example, paper SPE 38654, Proceedings of the 1997 SPE Annual Technical Conference and Exhibition, San Antonio, Oct. 5-8.

  • He, N., D. Oliver, and A. Reynolds. “Conditioning Stochastic Reservoir Models to Well-Test Data”. Proceedings of the SPE Annual Technical Conference and Exhibition, 1997.
  • Reynolds, A., N. He, and D. Oliver. “Reducing Uncertainty in Geostatistical Description With Well Testing Pressure Data”. Proceedings of the Fourth International Reservoir Characterization
    Technical Conference, 2–4 March
    , 1997.
  • Oliver, D. S., He, N. and Reynolds, A. C.: Conditioning Permeability Fields to Pressure Data, Proceedings of the 5th European Conference on the Mathematics of Oil Recovery, Leoben, Sept. 3-6, 1996.

  • He, N., A. Reynolds, and D. Oliver. “Three-Dimensional Reservoir Description from Multiwell Pressure Data and Prior Information”. Proceedings of the SPE Annual Technical Conference and Exhibition, 1996.
  • Chu, L., and A. Reynolds. “A General Efficient Method for Generating Sensitivity Coefficients”. Well Testing, Reservoir Characterization and Reservoir Simulation, 1995, pp. 100–133.
  • Chu, L., Reynolds, A. C. and Oliver, D. S.: Reservoir Description From Static and Well-Test Data Using Efficient Gradient Methods, paper SPE 29999, Proceedings of 1995 SPE International Meeting in Beijing.

  • Chu, L., Reynolds, A. C. and Oliver, D. S.: Computation of Sensitivity Coefficients With Application to the Integration of Static and Well-Test Data, Proceedings of the Eclipse International Forum, Milano, Sept. 6-9, 1994.

  • Chu, L. and Reynolds, A. C.: Analysis of Pressure Data From Heterogeneous Reservoirs: Wellbore Storage and Skin Effects, paper SPE 26047, Proceedings of the 1994 Western Regional Meeting, Long Beach, California March 23-25.

  • Feitosa, G. S., Chu, L., Thompson, L. G., and Reynolds, A. C.: Determination of Reservoir Permeability Distribution From Pressure Buildup Data, paper SPE 26047, Proceedings of the 1993 SPE Annual Technical Conference and Exhibition, Houston, Texas, October 3-6, 1993.

  • Roadifer, R. D. and Reynolds, A. C.: Estimation of the Pseudoskin Factor Caused by a Restricted-Entry Well Under Multiphase Flow Conditions, paper SPE 26052, Proceedings of the 1993 Western Regional Meeting, Anchorage, Alaska, May 26-28, 1993.

  • Xiao, J. J. and Reynolds, A. C.: A Pseudopressure-Pseudotime Transformation for the Analysis of Gas Well Closed Chamber Tests, paper SPE 25879, Proceedings of the 1993 SPE Rocky Mountain Regional Low Permeability Meeting, Denver, Colorado, April 12-14, 1993.

  • Onur, M., Satman, A., and Reynolds, A. C.: New Type Curves for Analyzing the Transition Time Data From Naturally Fractured Reservoirs, paper SPE 25873, Proceedings of the 1993 SPE Rocky Mountain Regional Low Permeability Meeting, Denver, Colorado, April 12-14, 1993.

  • Hatzignatiou, D. G. and Reynolds, A. C.: Estimation of Effective Permeabilities for Heterogeneous Reservoirs, paper SPE 24061, Proceedings of the 1992 SPE Western Regional Meeting, Bakersfield, March 30-April 1, 1993.

  • Xiao, J. and Reynolds, A. C.: New Methods for the Analysis of Closed Chamber Tests, paper SPE 24059 Proceedings of the 1992 SPE Western Regional Meeting, Bakersfield, March 30-April 1, 1993.

  • Singapore; Thompson, L. G., Niu, J. G., and Reynolds, A. C.: Well Testing for Gas Condensate Reservoirs, paper SPE 25371, Proceedings of the 1993 SPE Asia Pacific Oil & Gas Conference and Exhibition, Singapore, Feb. 8-10, 1993.

  • Carvalho, R. S., Redner, R. A., Thompson, L. G., and Reynolds, A. C.: Robust Procedures for Parameter Estimation by Automated Type-Curve Matching, paper SPE 24732, Proceedings of 1992 SPE Annual Technical Conference and Exhibition, Washington, D.C., October 4-7, 1992.

  • Peres, A. M. M., Onur, M., and Reynolds, A. C.: New Methods for the Analysis of Drillstem Test Data, paper SPE 19843, Proceedings of the 1989 SPE Annual Fall Meeting, San Antonio, Oct. 8-11, 1991.

  • Guehria, F. M., Thompson, L. G., and Reynolds, A. C.: A Robust Algorithm for Determining Hydrocarbon PVT Properties Using a Generalized EOS, Proceedings of the Petroleum Society of CIM/SPE International Technical Meeting, June 10-13, 1990, Calgary.

  • Ding, W., Onur, M., and Reynolds, A. C.: Analysis of Well-Testing Data from a Restricted-Entry Well, paper SPE 18877, Proceedings of the 1989 SPE Production Operations Symposium, Oklahoma City, Oklahoma.

  • Iskander, R., McKinley, J., and Reynolds, A. C.: Minimizing Feedback Gains in Multi-Input, Multi-Output Systems, Proceedings of the 18th Midwest Symposium on Circuits and Systems, (1979) 640-644.

  • Verma, V., Reynolds, A. C., and Thomas, G. W.: A Theoretical Investigation of Forward Combustion in a One-Dimensional System, paper SPE 7526, 1978 SPE ATCE.

  • Bangia, V., Bennett, C. O., Reynolds, A. C., Raghavan, R., and Thomas, G. W.: Alternating Direction Collocation Methods for Simulating Reservoir Performance, paper SPE 7414, 1978 SPE Annual Fall Meeting.

  • Keys, R. G. and Reynolds, A. C.: On the Solution of Linear Parabolic Problems by Boundary Value Techniques, Proceedings of the AICA International Symposium on Computer Methods for Partial Differential Equations, (1975) 86-89.

Books

  • D. Oliver, A. Reynolds and N. Liu: Inverse Theory for Petroleum Reservoir Characterization and History Matching, (ix + 360 pages), Cambridge University Press, May 2008.

  • R. Burden, D. Faires and A. Reynolds: Numerical Analysis, Prindle, Webber and Schmidt, Inc., Boston, Massachusetts (ix + 579 pages) 1978.

Book Chapters

  • Reynolds, A.C., He, N. and Oliver D.S.: Reducing Uncertainty in Geostatistical Description With Well-Testing Pressure Data, in Recent Advances in Reservoir Characterization, AAPG Memoir 71, eds. R. Schatzinger and J. Jordan (1999) 149-162.

Technical Reports

  • Duc H. Le, Rami Younis and Albert C. Reynolds: A History Matching Procedure for Non-Gaussian Facies Based on ES-MDA, paper SPE 173233, Proceedings of the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February 2015.

  • Le, D., and A. Reynolds. An Adaptive Ensemble Smoother for Assisted History Matching. The University of Tulsa, 2015, pp. 195–230.
  • Fonseca, R., B. Chen, J. Jansen, and A. Reynolds. Theoretical Connections Between Ensemble-Based Optimization Algorithms Based on an Approximate Gradient. University of Tulsa, 2015, pp. 55–738.
  • Oliveira, D., and A. Reynolds. An Improved Multiscale Method for Life-Cycle Production Optimization. The University of Tulsa, 2014.
  • Oliveira, D., and A. Reynolds. Hierarchical Multiscale Methods for Life-Cycle Production Optimization: A Real Field Case Study. The University of Tulsa, 2014.
  • Liu, X., and A. Reynolds. Gradient-Based Robust Multiobjective Optimization for Maximizing the Life-Cycle Expectation and Minimizing the Associated Uncertainty or Risk. The University of Tulsa, 2014.
  • Le, D., and A. Reynolds. Modified ES-MDA Algorithms for Assisted History Matching. The University of Tulsa, 2014.
  • Oliveira, D., and A. Reynolds. Hierarchical Optimization under Geological Uncertainty. The University of Tulsa, 2014.
  • Le, D., and A. Reynolds. Estimation of Depths of Initial Fluid Contacts, Relative and Absolute Permeabilities and Porosity Using Iterative Ensemble Smoothers and EnKF. The University of Tulsa, 2013.
  • Liu, X., and A. Reynolds. Gradient-Based Multiobjective Production Optimization. The University of Tulsa, 2013, pp. 144–180.
  • Le, D., and A. Reynolds. Application of Mutual Information and Entropy to Surveillance Optimization. The University of Tulsa, 2012.
  • Oliveira, D., and A. Reynolds. Optimization Algorithms Based on Quadratic Interpolation Models. The University of Tulsa, 2012.
  • Zhao, H., C. Chen, S. Do, G. Li, D. Oliveira, and A. Reynolds. Maximization of a Dynamic Quadratic Interpolation Model for Production Optimization. The University of Tulsa, 2011.
  • Emerick, A., and A. Reynolds. Combining Sensitivities and Prior Information for Covariance Localization in the Ensemble Kalman Filter for Petroleum Reservoir Applications. The University of Tulsa, 2010, pp. 15–48.
  • Emerick, A., and A. Reynolds. Evaluation of Techniques to Reduce Loss of Variance Due to Sampling Errors in the Ensemble Kalman Filter. The University of Tulsa, 2010.
  • Emerick, A., and A. Reynolds. Using Ensemble Square Root Filter With Markov Chain Monte Carlo for Sampling. The University of Tulsa, 2010.
  • Chen, C., G. Li, and A. Reynolds. Constrained Optimization Algorithms for the Production Optimization Step of Closed Loop Reservoir Management. The University of Tulsa, 2009, pp. 124–171.
  • Li, G., and A. Reynolds. Matching Pressured Data With the Ensemble Kalman Filter. The University of Tulsa, 2009.
  • Reynolds, A., Y. Wang, and G. Li. The Ensemble Kalman Filter for the Integration of Dynamic Data Into Reservoir Models. The University of Tulsa, 2009, p. 116 pages.
  • Thulin, K., G. Li, S. Aanonsen, and A. Reynolds. Experiments on Adjusting Initial Fluid Contacts With EnKF. The University of Tulsa, 2007, pp. 120–146.
  • Zhao, Y., G. Li, and A. Reynolds. Generating Facies Maps by Assimilating Production Data With the Ensemble Kalman Filter. The University of Tulsa, 2007.
  • Li, G., and A. Reynolds. Iterative EnKF. The University of Tulsa, 2007, pp. 14–56.
  • Chen, S., G. Li, and A. Reynolds. An In Situ Test for the Estimation of Relative Permeabilities: An Approximate Analytical Solution for the Wellbore Pressure. The University of Tulsa, 2006.
  • Reynolds, A., D. Oliver, G. Li, Y. Dong, Y. Zhao, D. Eydinov, G. Gao, S. Chen, and M. Han. Data Integration for the Generation of High Resolution Reservoir Models. U.S. Department of Energy, 2006, p. 255 pages.
  • Chen, S., G. Li, and A. Reynolds. An In Situ Test for the Estimation of Two Phase Relative Permeability Curves. The University of Tulsa, 2005.
  • Zafari, M., and A. Reynolds. EnKF Versus RML, Theoretical Comments and Numerical Experiments. The University of Tulsa, 2005, pp. 195–228.
  • Eydinov, D., S. Chen, G. Gao, and A. Reynolds. Estimating Relative Permeabilities by History Matching Field Data. The University of Tulsa, 2005.
  • Boughrara, A., and A. Reynolds. Injection/Falloff Testing of Horizontal Wells. The University of Tulsa, 2005, pp. 59–102.
  • Boughrara, A., and A. Reynolds. Injection/Falloff Testing of Restricted-Entry Vertical Wells. The University of Tulsa, 2005, pp. 10–58.
  • Gao, G., and A. Reynolds. An Improved Implementation of the LBFGS Algorithm for Automatic History Matching With Application to the PUNQ Data Set. The University of Tulsa, 2004, pp. 14–93.
  • Reynolds, A., and D. Oliver. Mapping of Reservoir Properties and Facies. U.S. Department of Energy, 2004, p. 222 pages.
  • Chen, S., and A. Reynolds. Numerical Well Testing for Multiphase Flow Problems. The University of Tulsa, 2004, pp. 310–355.
  • Zhang, F., and A. Reynolds. LBFGS Algorithm for Automatic History Matching of Production Data for Large Scale Problems. The University of Tulsa, 2003, pp. 12–63.
  • Peres, A., A. Reynolds, A. Boughrara, and S. Chen. Some Theoretical Results on Injection/Falloff Testing of Vertical and Horizontal Wells. The University of Tulsa, 2003, pp. 162–230.
  • Skjervheim, J., D. Oliver, and A. Reynolds. A Field History Matching Example, Preliminary Report. The University of Tulsa, 2002, pp. 106–113.
  • Zhang, F., and A. Reynolds. “Optimization Algorithms for History Matching”. TUPREP Research Report, The University of Tulsa, 2002, pp. 14–105.
  • Zhang, F., A. Reynolds, and D. Oliver. Optimization Algorithms for History Matching. 2001, pp. 144–171.
  • Zhang, F., A. Reynolds, and D. Oliver. Conditioning a Stochastic Channel to Pressure Data: Generation of an Initial Guess for Fast Convergence of the Levenberg-Marquardt Algorithm. The University of Tulsa, 2001.
  • Peres, A., and A. Reynolds. Injectivity and Falloff Tests on Horizontal Wells. The University of Tulsa, 2001.
  • Kalita, R., and A. Reynolds. Application of the Conjugate Gradient Method to Conditioning a Gas Reservoir Model to Pressure Data. The University of Tulsa, 2000, pp. 107–126.
  • Li, R., A. Reynolds, and D. Oliver. Computation of Sensitivity Coefficients for Three-Phase Flow Production Data. The University of Tulsa, 2000, pp. 127–158.
  • Abacioglu, Y., D. Oliver, and A. Reynolds. Efficient History-Matching Using Subspace Vectors. The University of Tulsa, 2000, pp. 69–90.
  • Zhang, F., A. Reynolds, and D. Oliver. “Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Channel to Multiwell Pressure Data”. TUPREP Research Report, The University of Tulsa, 2000.
  • Abacioglu, Y., A. Reynolds, and D. Oliver. The Use of Subspace Methods for Efficient Conditioning of Single Phase Pressure Data. The University of Tulsa, 1999, pp. 219–247.
  • Abacioglu, Y., A. Reynolds, and D. Oliver. An Improved Implementation of the Subspace Method. The University of Tulsa, 1998, pp. 290–310.
  • Chu, L., and A. Reynolds. Determination of Permeability Distributions for Heterogeneous Reservoirs With Variable Porosity and Permeability. The University of Tulsa, 1993.

Other

  • Zhao, Yong and Reynolds, A. C.: “Estimation and Removal of Tidal Effects From Pressure Data,” SPE Journal (March 2009), 144-152.

  • Reynolds, A. C., Zafari, Mohammad, and Li, Gaoming: The Ensemble Kalman Filter and SPSA, SIAM Geoscience Conference (June 2005) Avignon (presentation, only abstract published).

  • He, N. and Reynolds, A. C.: Estimation of Porosity in Thin-Layered Reservoirs by Seismic Inversion, (Extended Abstract) Proceedings of 1995 SEG Annual Meeting, Oct. 8-13, 1022-1024.

Courses Taught

  • Research and Dissertation