Education

1975 B.S. (Physics) Harvey Mudd College
1980 Ph.D. (Geophysics) University of Washington

• Mewbourne Chair Professor of Petroleum and Geological Engineering, The University of Oklahoma, Norman, Oklahoma, 2006-present.
• Director and Eberly Family Chair Professor of Petroleum and Geological Engineering, The University of Oklahoma, Norman, Oklahoma, 2002-2006.
• Professor of Petroleum Engineering and Interim Chairman, The University of Tulsa, Tulsa, Oklahoma, 2001-2002.
• Associate Professor of Petroleum Engineering, The University of Tulsa, Tulsa, Oklahoma, 1999-2001.
• Assistant Professor of Petroleum Engineering, The University of Tulsa, Tulsa, Oklahoma, 1997-1999.
• Staff research scientist in reservoir characterization, Chevron Petroleum Technology Co., La Habra, California, 1991-1997.
• Lead petroleum engineer for Safaniya Field, Arabian Chevron, Inc. (on loan to Saudi Arabian Oil Comnpany), Dhahran, Saudi Arabia, 1987-1991.
• Senior reservoir engineer, Chevron USA, San Ramon, California, 1983-1987.
• Research geophysicist in production research, Chevron Oil Field Research Company, La Habra, California, 1980-1983.

• Executive Editor, SPE Journal, 2005--2009
• SPE Reservoir Description and Dynamics Award, 2004
• Outstanding Service, SPE Editorial Review Committee, 2003
• Marquis Who's Who in America, 2006
• Phi Beta Tau, Teacher of the Month, 2002
• Phi Kappa Phi, Honorary Member-for-Life, 2000
• Outstanding Technical Editor, SPE Reservoir Evaluation & Engineering, 1998
• Best Paper Award, SPE Journal, 1996
• Best Paper Award, Journal Mathematical Geology, 1995

• American Geophysical Union
• Society of Petroleum Engineers
• Society of Industrial and Applied Mathematics
• International Association for Mathematical Geology

Books
• Oliver, Dean S., Albert C. Reynolds, and Ning Liu: Inverse Theory for Petroleum Reservoir Characterization and History Matching, Cambridge University Press, ISBN: 9780521881517, May 2008, pp 392.
Peer-Reviewed Papers
• Agbalaka, Chinedu and Dean S. Oliver, Application of the EnKF and localization to automatic history matching of facies distribution and production data, Mathematical Geosciences, 40(4), 353--374, 2008.
• Gu, Yaqing and Dean S. Oliver, An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation, SPE Journal, 12(4), 438--446, 2007.
• Dong, Yannong, Yaqing Gu and Dean S. Oliver, Sequential assimilation of 4D seismic data for reservoir description using the ensemble Kalman filter, Journal of Petroleum Science and Engineering, 51(4), 83--99, 2006.
• Gu, Yaqing and Dean S. Oliver, The ensemble Kalman filter for continuous updating of reservoir simulation models, Journal of Engineering Resources Technology, 128(1), 79--87, 2006.
• Coburn, T. C., P. W. M. Corbett, A. Datta-Gupta, J. L. Jensen, M. Kelkar, Dean S. Oliver and C. D. White, A Virtual Conversation on the Impact of Geostatistics in Petroleum, Production, and Reservoir Engineering, in Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, Volume II, AAPG, eds. T.C. Coburn, J. M. Yarus and R. L. Chambers, 23--33, 2006.
• Liu, Ning and Dean S. Oliver, Critical evaluation of the ensemble Kalman filter on history matching of geologic facies, SPE Reservoir Evaluation and Engineering, 8(6), 470--477, 2005.
• Zhang, Fengjun, Jan Arild Skjervheim, A. C. Reynolds, and D. S. Oliver, Automatic history matching in a Bayesian framework: Example applications, SPE Reservoir Evaluation and Engineering, 8(3), 214--223, 2005.
• Liu, Ning and Dean S. Oliver, Ensemble Kalman filter for automatic history matching of geologic facies, Journal of Petroleum Science and Engineering, 47(3--4), 147-161, 2005.
• Gu, Yaqing, and D. S. Oliver, History matching of the PUNQ-S3 reservoir model using the ensemble Kalman filter, SPE Journal, 10(2), 51--65, 2005.
• Dong, Yannong, and D. S. Oliver, Quantitative use of 4D seismic data for reservoir description, SPE Journal, 10(1), 91--99, 2005.
• Liu, Ning and D. S. Oliver, Automatic History Matching of Geologic Facies, Soc. Petrol. Eng. J., 9(4), 188-195, 2004.
• Reynolds, A. C., Ruijian Li, and D. S. Oliver, Simultaneous estimation of absolute and relative permeability by automatic history matching of three-phase flow production data, Journal of Canadian Petroleum Technology, 43(3), 37--46, 2004.
• Liu, Ning and D. S. Oliver, Experimental Assessment of Gradual Deformation Method, Mathematical Geology, 36(1), 65--77, 2004.
• Oliver, D. S., Gaussian co-simulation: Modeling of the cross-covariance, Mathematical Geology, 35(6), 681-699, 2003.
• Li, Ruijian Li, A. C. Reynolds, and D. S. Oliver, Sensitivity Coefficients for Three-Phase Flow History Matching, Journal of Canadian Petroleum Technology, 42(4), 70-77, 2003.
• Liu, Ning, and D. S. Oliver, Evaluation of Uncertainty Assessment Methods, Soc. Petrol. Eng. J., 8(2), 188-195, 2003.
• Li, Ruijian, A. C. Reynolds, and D. S. Oliver, History Matching of Three-Phase Flow Production Data, Soc. Petrol. Eng. J., 8(4), 328-340, 2003.
• Zhang, F., A. C. Reynolds, and D. S. Oliver, An intial guess for the Levenberg-Marquardt algorithm for conditioning a stochastic channel to pressure data , Mathematical Geology, 35(1), 67-88, 2003.
• Zhang, F., A. C. Reynolds, and D. S. Oliver, The Impact of Upscaling Errors on Conditioning a Stochastic Channel to Pressure Data, Soc. Petrol. Eng. J., 8(1), 13-21, 2003.
• Zhang, F., A. C. Reynolds, and D. S. Oliver, Evaluation of the reduction in uncertainty obtained by conditioning a 3D stochastic channel to multiwell pressure data, Mathematical Geology, 34(6), 715-742, 2002.
• Oliver, D. S., Conditioning Channel Meanders to Well Observations, Mathematical Geology, 34(2), 181-197, 2002.
• Abacioglu, Y., D. S. Oliver, and A. C. Reynolds, Efficient History Matching Using Subspace Vectors, Computational Geosciences, 5, 151-172, 2001.
• Oliver, D. S., A. C. Reynolds, Z. Bi, and Y. Abacioglu, Integration of production data into reservoir models, Petroleum Geoscience, 7, S65-S73, 2001.
• Bi, Zhuoxin, D. S. Oliver, and A. C. Reynolds, Conditioning 3D stochastic channels to pressure data, Soc. Petrol. Eng. J., 5(4), 474-484, 2000.
• He, N., D. S. Oliver and A. C. Reynolds, Conditioning stochastic reservoir models to well-test data, SPE Reservoir Eval. & Eng., 3(1), 74-79, Feb. 2000.
• Reynolds, A. C., N. He, and D. S., Oliver, Reducing uncertainty in geostatistical description with well testing pressure data in R. Schatzinger and J. Jordan, eds., Reservoir Characterization: Recent Advances, AAPG Memoir 71, 149-162, 1999.
• Wu, Z., A. C. Reynolds, and D. S. Oliver, Conditioning Geostatistical Models to Two-Phase Production Data, Soc. Petrol. Eng. J., 3(2), 142-155, 1999.
• Oliver, D. S., Calculation of the inverse of the covariance. Mathematical Geology, 30(7), 911-933, 1998.
• Oliver, D. S., The sensitivity of tracer concentration to nonuniform permeability and porosity. Transport in Porous Media, 30(2), 155-175, February 1998.
• Bonet-Cunha, L., Oliver, D. S., Redner, R. A., and A. C. Reynolds, A hybrid Markov chain Monte Carlo method for generating permeability fields conditioned to multiwell pressure data and prior information. Soc. Petrol. Eng. J., 3(3), 261-271, 1998.
• He, Nanqun, Reynolds, A. C., and D. S. Oliver, Three-dimensional reservoir description from multiwell pressure data. Soc. Petrol. Eng. J., 2(3), 312-327, 1997.
• Oliver, D. S., Cunha, L., and Reynolds, A. C., Markov chain Monte Carlo methods for conditioning a permeability field to pressure data, Mathematical Geology, 29(1), 61-91, June 1997.
• Reynolds, A. C., N. He, L. Chu, and D. S. Oliver, Reparameterization techniques for generating reservoir descriptions conditioned to variograms and well-test pressure data. Soc. Petrol. Eng. J., 1(4), 413--426, 1996.
• Oliver, D. S., On conditional simulation to inaccurate data, Mathematical Geology, 28(6), 811--817, 1996.
• Oliver, D. S., Multiple realizations of the permeability field from well test data, Soc. Petrol. Eng. J., 1(2), 145-154, 1996.
• Oliver, D. S., A comparison of the value of interference and well-test data for mapping permeability and porosity, In Situ, 20(1), 41-59, 1996.
• Oliver, D. S., Moving averages for Gaussian simulation in two and three dimensions. Mathematical Geology, 27(8), 939--960, 1995.
• Chu, L., A. C. Reynolds, and D. S. Oliver, Computation of sensitivity coefficients for conditioning the permeability field to well-test pressure data, In Situ, 19(2), 179-223, 1995.
• Oliver, D. S., Application of a wave transform to pressure transient testing in porous media, Transport in Porous Media, 16(3), 209-236, 1994.
• Oliver, D. S., Incorporation of transient pressure data into reservoir characterization, In Situ, 18(3), 243-275, 1994.
• Oliver, D. S., The influence of nonuniform transmissivity and storativity on drawdown, Water Resources Research, 29(1), 169-178, 1993.
• Oliver, D. S., Estimation of radial permeability distribution from well test data, Soc. Pet. Eng. Formation Evaluation, 7(4), 290-295, 1992.
• Oliver, D. S., The averaging process in permeability estimation from well test data, Trans. of Soc. Petrol. Eng., Vol. 289, V319-324, 1990.
• Oliver, D. S., and J. R. Booker, Planform of convection with strongly temperature-dependent viscosity, Geophysical and Astrophysical Fluid Dynamics, 27, 73-85, 1983.
• Stengel, K. C., D. S. Oliver and J. R. Booker, Onset of convection in a variable viscosity fluid, Journal of Fluid Mechanics, Vol. 120, 411, 1982.
Other Papers
• Chen, Yan and Dean S. Oliver and Dongxiao Zhang Efficient Ensemble-Based Closed-Loop Production Optimization (SPE 112873), presented at the 2008 SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, April 21--23.
• Zhang, Fengjun, J. A. Skervheim, A. C. Reynolds, and D. S. Oliver, Automatic History Matching in a Bayesian Framework: Example Applications (SPE 84461), 2003 SPE Annual Technical Conference and Exhibition.
• Liu, Ning, and Dean S. Oliver, Automatic History Matching of Geologic Facies (SPE 84594), 2003 SPE Annual Technical Conference and Exhibition.
• Dong, Yannong and Dean S. Oliver, Quantitative Use of 4D Seismic Data for Reservoir Description (SPE~84571), 2003 SPE Annual Technical Conference and Exhibition.
• Liu, Ning and D. S. Oliver, Conditional Simulation of Truncated Random Fields using Gradient Methods, IAMG 2003 Meeting, Portsmouth, England, Sept. 2003.
• Oliver, D. S., Calculation of the Inverse of the Covariance on Bounded Grids. Sixth European Conference on the Mathematics of Oil Recovery, Edinburgh, Scotland, 8-11 Sept. 1998.
• Oliver, D. S., N. He, and A. C. Reynolds, Conditioning permeability fields to pressure data. Fifth European Conference on the Mathematics of Oil Recovery, Leoben, Austria, 3-6 Sept. 1996.
• Chu, L., A. C. Reynolds, and D. S. Oliver, Reservoir description from static and well-test data using efficient gradient methods, SPE 29999, Presented at the SPE International Meeting in Beijing, 14-17 November 1995.
• Oliver, D. S., Pressure transients caused by fracturing, SPE 12735, Presented at the California Regional Meeting of the Society of Petroleum Engineers, April 1984.
 

2008
• Improved initial sampling of realizations for EnKF, Workshop about Ensemble Kalman filter for updating of reservoir simulation models , Voss, Norway, 18--20 June 2008.
• Efficient Ensemble-Based Closed-Loop Production Optimization, SIAM Conference on Optimization, Boston, Massachusetts, 13 May 2008.
2007
• Ensemble Method for Rapid History Matching, Graduate seminar at University of Tulsa, Tulsa, 7 September 2007.
• A Brief Overview of History Matching (and Recent Developments), China University of Petroleum, Beijing, 12 July 2007.
• Ensemble Kalman Filter for Data Assimilation in Petroleum Engineering, Computational Methods in Energy and Environmental Research, Beijing, China, July 9-July 12, 2007.
• A Brief Overview of History Matching (and Recent Developments), China University of Geosciences, Beijing, 6 July 2007.
• Strategies for Dealing with Strong Nonlinearity in the EnKF, EnKF Workshop, Bergen, Norway, 19 June 2007.
• Ensemble Method for Rapid History Matching, Graduate seminar at Texas A&M University, College Station, 4 April 2007.
• Ensemble Method for Rapid History Matching, Graduate seminar at Lousiana State University, 26 March 2007.
2006
• Iterative Ensemble Kalman Filter for Quantifying Uncertainty in Nonlinear Problems, Western Pacific Geophysical Meeting, Beijing, 23 July 2006.
• Ensemble Kalman Filter for History Matching, Institute for Rock and Soil Mechanics, Wuhan, 18 July 2006.
• Ensemble Kalman Filter for History Matching, Peking University, Beijing, 17 July 2006.
• Petroleum Engineering Education, National Minerals Education Conference, Oklahoma City, 26 June 2006.
• Ensemble-Based Filters for Nonlinear and Non-Gaussian Problems, EnKF Workshop, Voss, Norway, 30 May 2006.
• Ensemble Method for Rapid History Matching, Stanford University Graduate Seminar, 25 April 2006.
• Petroleum Engineering Education, SPE chapter meeting, Tyler, Texas, 14 March 2006.
• Ensemble Method for Rapid History Matching, University of Southern California Graduate Seminar, 8 March 2006.
• Universities -- The Source of Engineers. SPE/IADC Conference, Miami, Florida, 21 February 2006.
2005
• Enforcing highly nonlinear constraints using several variants of the ensemble Kalman filter. SIAM Geosciences meeting, Avignon, France, June 9, 2005.
• Oklahoma Refinery Industry: Summary. Oklahoma legislative subcommittee and community forum, Cushing Oklahoma, 5 October 2005.
2004
• Ensemble methods for rapid history matching, UT Austin, October 2004.
• The ensemble Kalman filter for updating reservoir models, NTNU, Trondheim, Norway, June 2004.
• History matching applications, Heriot-Watt University, Edinburgh, Scotland, February 2004.
2003
• Conditional Simulation of Truncated Random Fields Using Gradient Methods with Ning Liu. IAMG Annual meeting in Portsmouth, England, September 8-10.
• Gaussian Co-simulation: Modelling of the Cross-covariance. IAMG Annual meeting in Portsmouth, England, September 8-10.
• Three-Phase Flow Reservoir History Matching. SIAM Conference on Mathematical and Computational Issues in the Geosciences, San Antonio, Texas, March 17-20.
2002
• History Matching and Optimization in TUPREP. SPE Section Meeting, Bartlesville, Oklahoma, April 18.
• History Matching and Optimization. Schlumberger Eureka Conference, Oxford, England, April 3-4.
• Assessing Uncertainty in Reservoir Prediction by Monte Carlo Methods. Institute for Mathematics and its Applications workshop titled "Quantifying Uncertainty and Multiscale Phenomena in Subsurface Processes," Minneapolis, January 7-11.
2001
• Monte Carlo Methods for Uncertainty Assessment. Society of Exploration Geophysicists, Development & Production Forum, Taos, New Mexico, June 22-29.
2000
• Conditioning Channel Meanders to Well Observations. AAPG Hedberg Research Conference: Applied Reservoir Characterization Using Geostatistics, The Woodlands, Texas, Dec. 3-6.
1999
• Five Things I Dislike About Pilot Points. Statoil Research Summit, Conditioning Reservoir Models and Forecasts to Dynamic Data, Trondheim, Norway, Sep. 13-15
• Integration of Production Data, Keynote speaker at SPE/EAGE Symposium on Petroleum Geostatistics, Toulouse, France, April, 20-23
• Monte Carlo Estimation of Uncertainty in Reservoir Performance, SIAM Conference on Mathematical and Computational Issues in the Geosciences, March 24-27
1998
• Conditioning Reservoir Models to Dynamic Data, FORCE Workshop on Reservoir Characterization, Bergen, Norway, March 31
• Inverse methods for incorporating flow and transport data in reservoir characterization, Los Alamos National Laboratory's Gas and Oil Lectureship of Distinction, January 6
1997
• Sensitivity of non-reactive tracer concentration to permeability and porosity, Tracer Workshop at the University of Texas, Austin, May 21
• Assessing uncertainty in reservoir prediction by Monte Carlo methods, Graduate seminar at Texas A&M University, College Station, January 7
1996
• Assessing uncertainty in reservoir prediction by Monte Carlo methods, University of Tulsa, Tulsa, Oklahoma, Dec. 3
• What do geostatistics have to do with well testing? Overview presentation at SPE Annual Technical Conference, Denver, Colorado, Oct. 6-9
• On conditioning permeability fields to pressure data, 1996 SPE Technical Symposium, Dhahran, Saudi Arabia, June 28-30
• Efficient conditioning of reservoir models to production data, Trondheim, Norway, May 28-30
1995
• Conditional simulation of reservoir models to inaccurate production data, Stanford University, Nov. 15
1994
• The use of well test information in stochastic modeling, Sundvolden, Norway, Sept. 5-6
1993
• Application of a wave transform to pressure transient testing, Lawrence Berkeley Laboratory, Nov. 19
• On the limitations and possibilities for reservoir characterization from well test data, Schlumberger-Doll Research forum on Resevoir Characterization, Ridgefield, Connecticut, Oct. 13-15