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Photo of Pyrcz, Michael
Office Location: CPE 5.174

Michael Pyrcz

Associate Professor

H.B. (Burt) Harkins, Jr. Professorship in Petroleum Engineering

Department Research Areas:
Geologic Carbon Storage
Integrated Reservoir Characterization
Unconventional Resources
Petrophysics and Pore Scale Processes

Personal Website

Educational Qualifications:
BSc Engineering (Class Rank #1), Mining Engineering, School of Mining and Petroleum Engineering, University of Alberta, Canada

PhD Engineering, Geostatistical Reservoir Modeling, University of Alberta, Canada

PGE Courses:
PGE 337: Introduction to Geostatistics

PGE 383: Stochastic Methods for Reservoir Modeling

Dr. Pyrcz’s current research is focused on improving reservoir characterization and modeling for enhanced development planning, minimized environmental impact, stronger profitability and better utilization of valuable natural resources. He and his students work on reservoir modeling related problems of improved integration of geological concepts, modeling for unconventional plays, improved data integration, multiscale and multivariate modeling, machine learning, big data analytics, and optimal decision-making in the presence of uncertainty.

Awards & Honors:
Association of Professional Engineers and Geoscientists of Alberta (APEGA) Gold Medal for B.Sc. Class Rank #1, 2000.

National Science and Engineering Research Council of Canada (NSERC), Post Graduate Scholarships (PGS) A and B, 2000-2004.

Best Heavy Oil Paper, Canadian Society of Petroleum Geologists, Canadian Heavy Oil Association, 2004.

Outstanding Technical Editor, Society of Petroleum Engineers, Reservoir Evaluation & Engineering Journal, 2008.

American Association Petrol Geologists, A.I. Levorsen Award for Best Paper Pacific Section, Ventura, California, for paper "Allocyclicity of Sediment Volume and Composition Provide the Basis for a Predictive Model of Turbidite Channel Architectures", T. McHargue, J. Clark, M. Sullivan, M. Pyrcz, A. Fildani, M. Levy, H. Posamentier, B. W. Romans, and J. A. Covault, May 3-5, 2009.

Geological Society of London, Reservoir Modeling Conference at University of Aberdeen, Invited Keynote Speaker, Talk “When Reservoir Models Become Unfit for Purpose”, 2015.

International Association of Mathematical Geoscientists Council Nominee, 2016.

Geostatistical Congress 2016 Scientific Committee, 2016.

Associate Editor, Computers and Geosciences, International Association of Mathematical Geosciences, 2017.

Professional Engineer Alberta, Canada

Highlighted Publications and Google Scholar Profile:

Pyrcz, M.J., and Deutsch, C.V., 2014, Geostatistical Reservoir Modeling, 2nd Edition, Oxford University Press, New York, p. 448

Peer Reviewed Journal Articles

Nwachukwu, A., Jeong, H., Pyrcz, M.J., Lake, L.W., 2018, Fast evaluation of well placements in heterogeneous reservoir models using machine learning, Journal of Petroleum Science and Engineering, v. 163, pp 463-475.

Zhang, J, Covault, J., Pyrcz, M.J., Sharman, G.R., Carvajal, C., Milliken, K., 2018, Quantifying sediment supply to continental margins: Application to the Paleogene Wilcox Group, Gulf of Mexico, AAPG Bulletin, online first. DOI:10.1306/01081817308

Pyrcz, M.J., Janele, P., Weaver, D. and Strebelle, S., 2017, Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments, Geostatistics Valencia 2016, Springer, pp. 671-683.

Pyrcz, M.J. and White, C.D., 2015, Uncertainty in reservoir modeling, Interpretation, v. 3 (2), SQ7-SQ19.

Pyrcz, M.J., Sech, R.P., Covault, J.A., Willis, B.J., Sylvester, Z. and Sun, T., 2015, Stratigraphic rule-based reservoir modeling, Bulletin of Canadian Petroleum Geology 63 (4), pp. 287-303.

Hassanpour, M., Pyrcz, M.J., and Deutsch, C.V., 2013, Improved Geostatistical Models of Inclined Heterolithic Strata for McMurray Formation: Alberta, Canada, AAPG Bulletin, v. 97, no. 7, p. 1209-1224.

Boisvert, J., Pyrcz, M.J., and Deutsch, C.V., 2010, Multiple Point Metrics to Assess Categorical Variable Models: Natural Resources Research, (19) 3, pages 165-174.

M.J. Boisvert, J. and Deutsch, C.V., 2009, Alluvsim: a Conditional Event-based Fluvial Model: Computers & Geosciences.doi:10.1016/j.cageo.2008.09.012.

Pyrcz, M.J., Boisvert, J. and Deutsch, C.V., 2007, A Library of Training Images for Fluvial and Deepwater Reservoirs and Associated Code: Computers and Geosciences, doi:10.1016/j.cageo.2007.05.015.

Pyrcz, M.J., Gringarten, E., Frykman, P., and Deutsch, C.V., 2006, Representative Input Parameters for Geostatistical Simulation, in T.C. Coburn, R.J. Yarus and R.L. Chambers, eds., Stochastic Modeling and Geostatistics: Principles, Methods and Case Studies, Volume II: AAPG Computer Applications in Geology 5, pp. 123-137.

Pyrcz, M.J., Catuneanu, O. and Deutsch, C.V., 2005, Stochastic Surface-based Modeling of Turbidite Lobes: American Association of Petroleum Geologists Bulletin, Vol. 89., No. 2, pp 177-191.