Research Associates

CCG Research Associates

CCG Research Associates are PhD’s with extensive industry project experience. In addition to performing independent research for the CCG, Research Associates advise students and conduct graduate student seminars, and consult on industry projects.

John Manchuk

Research Associate

John Manchuk is a research associate for the Centre for Computational Geostatistics as well as a geostatistics consultant. John is involved in the development of geostatistical theory and its application. His formal education was undertaken in Alberta starting with a B.Sc. degree in Mining Engineering, then progressing through M.Sc., and Ph.D. degrees in Geostatistics under the mentorship of Clayton Deutsch. John’s research interests span a variety of subjects. One of the most intriguing for him is numerical optimization for solving engineering design and decision making problems in the presence of uncertainty. His other interests include flow simulation through porous media, computational geometry, particularly for unstructured grids, and algorithm design and development in various programming languages. In his free time, John likes racing motorcycles, downhill biking, road biking, and snowboarding.

CCG John Manchuk

Research

  • Stochastic simulation of continuous and categorical random variables
  • Numerical optimization in the presence of uncertainty
  • Geostatistical algorithm design and development

Publications

  1. Manchuk, J.G., Barnett, R.M., Deutsch, C.V. (2016) Reproduction of secondary data in projection pursuit transformation. Submitted to Stochastic Environmental Research and Risk Assessment
  2. Barnett, R.M., Manchuk, J.G., Deutsch, C.V. (2016) The projection pursuit multivariate transform for improved continuous variable modeling. SPE Journal, 21 (6), 2010 – 2026
  3. Manchuk, J.G., Stiefenhofer, J., Thurston, M., Deutsch, C.V. (2015) Framework for resource uncertainty prediction and data valuation: An application to diamond deposits. CIM Journal, 6(3), 178 -190
  4. Manchuk, J.G., Garner, D.L., Deutsch, C.V. (2015) Advances in micromodeling using resistivity borehole images. Bulletin of Canadian Petroleum Geology, 63(4), 333-344
  5. Manchuk, J.G., Garner, D.L., Deutsch, C.V. (2015) Estimation of permeability in the McMurray formation using high-resolution data sources. Petrophysics, 56(2), 125-139
  6. Manchuk, J.G., Babak, O., Deutsch, C.V. (2014) Numerical modelling of mining selectivity for oil sands. CIM Journal, 5(3)
  7. Barnett, R.M., Manchuk, J.G., Deutsch, C.V. (2014) Projection pursuit multivariate transform. Mathematical Geosciences, 46(3), 337-359
  8. Manchuk, J.G., Deutsch, C.V., (2013) Geostatistical Characterizations of Reservoirs for Steam Assisted Gravity Drainage (SAGD) Production. CCG Guidebook Volume 17, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  9. Manchuk, J.G., Deutsch, C.V. (2013) Optimization of drainage-area configurations to maximize recovery from SAGD operations. JCPT, 52(3), 10 pages
  10. Manchuk, J.G., Babak, O., Deutsch, C.V. (2013) Geostatistical modeling of particle size distributions in the McMurray formation. CIM Journal, 4(2), 16 pages
  11. Babak, O., Manchuk, J.G., Deutsch, C.V. (2013) Accounting for non-exclusivity in sequential indicator simulation of categorical variables. Computers & Geosciences, 51, 118-128
  12. Manchuk, J.G. Deutsch C.V. (2012) Applications of data coherency for data analysis and geological zonation. in Abrahamsen P., Hauge R., and Kolbjornsen O. (eds), Geostatistics Oslo 2012, 173-184
  13. Boisvert J., Manchuk J.G., Neufeld C., Niven E. and Deutsch C.V. (2012) Micro-modeling for enhanced small scale porosity-permeability relationships. Geostatistics Oslo 2012, 159-171
  14. Manchuk, J.M., Mlacnik, M. Deutsch, C.V. (2012) Upscaling permeability to unstructured grids using the multipoint flux approximation. Petroleum Geoscience, 18(2), 239-248
  15. Manchuk, J.M., Deutsch, C.V. (2012) Implementation aspects of sequential Gaussian simulation on irregular points. Computational Geosciences, 16(3), 625-637
  16. Manchuk, J.G., Deutsch, C.V. (2012) A flexible sequential Gaussian simulation program: USGSIM. Computers & Geosciences, Vol. 41, 208-216
  17. Manchuk, J.G. (2010) Geostatistical Modeling of Unstructured Grids for Flow Simulation. PhD Thesis, University of Alberta, 216p.
  18. Hassanpour, R.M., Manchuk, J.G., Leuangthong, O., Deutsch, C.V. (2010) Calculation of permeability tensors for unstructured grid blocks. Journal of Canadian Petroleum Technology, 49(10), 10 pages
  19. Boisvert J.B, Manchuk J.G, Deutsch C.V. (2009) Kriging and simulation in the presence of locally varying anisotropy. Mathematical Geosciences 41(5): 585-601
  20. Manchuk, J.G, Leuangthong, O., Deutsch, C.V. (2009) Teacher’s aide: the proportional effect of spatial variables. Mathematical Geology, 41(7): 799-816
  21. Manchuk, J.G. Deutsch C.V. (2008) Sequential simulation of geologic variables with non-Gaussian correlation. in Ortiz, J.M. and Emery, X. (eds), Proceedings of the Eighth International Geostatistics Congress, Vol. 1: 99-108
  22. Manchuk, J.G. Deutsch, C.V. (2008) Optimizing stope designs and sequences in underground mines. SME Transactions, Vol. 324: 67-75
  23. Manchuk, J.G. (2008) Geostatistics with compositional data. CCG Guidebook Volume 7, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  24. Manchuk, J.G., Hassanpour, R.M., Deutsch, C.V. (2007) Multivariate geostatistical simulation of full permeability tensors on unstructured grids. European Association of Geoscientists & Engineers, Petroleum Geostatistics 2007, 10-14 September, Cascais, Portugal
  25. Boisvert J., Manchuk J.G., Deutsch C.V. (2007) Calculating distance in presence of locally varying anisotropy. IAMG Geomathematics and GIS Analysis of Resources, Environment and Hazards. 82-85
  26. Manchuk, J.G. (2007) Stope Design and Sequencing. MSc Thesis, University of Alberta, 78p.
  27. Manchuk, J.G, Leuangthong, O., Deutsch, C.V. (2005) Direct geostatistical simulation on unstructured grids. In Leuangthong O. and Deutsch C.V. (eds), Geostatistics Banff, Vol. 1: 85-94

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Ryan Barnett

Research Associate

Ryan Barnett is a research associate in the Department of Civil & Environmental Engineering at the University of Alberta. Under the mentorship of Dr. Clayton Deutsch, Ryan conducts research into better ways for modeling multiple geological variables within petroleum reservoirs and mineral deposits, while also supporting graduate students in the Centre for Computational Geostatistics. He has also worked continuously as a geostatistical consultant for the past five years, completing projects for both mining and petroleum companies. Prior to joining the University of Alberta, Ryan worked as a geologist within the Athabasca oil sands. Partnering with Dr. Clayton Deutsch, he continues to develop and teach a course on advanced multivariate geostatistics to industry professionals and graduate students. He has also worked as a teaching assistant for both undergraduate and industry courses. In his free time, Ryan enjoys playing hockey, skiing, squash, tennis, and golf. He also enjoys traveling to anywhere that his professional and personal life take him.

Professional business portraits for use on the corporate website as well as for LinkedIn and other social media marketing profiles.

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Research

  • Multivariate geostatistical modeling
  • Multivariate decorrelation and Gaussian transformations
  • Multivariate data imputation
  • Multivariate data analysis
  • Data Spacing and Uncertainty

Publications

Peer-review Journal

  1. Manchuk, J.G., Barnett, R.M., Deutsch, C.V. (2016) Reproduction of secondary data in projection pursuit transformation. Submitted to Stochastic Environmental Research and Risk Assessment
  2. Barnett, R.M., Manchuk, J.G., Deutsch, C.V. (2016) The projection pursuit multivariate transform for improved continuous variable modeling. SPE Journal, 21 (6), 2010 – 2026
  3. Barnett, R. M., Manchuk, J.G. and Deutsch, C. V., 2015. Projection Pursuit Multivariate Transformation. Mathematical Geosciences, 46, 337-359.
  4. Barnett, R. M. and Deutsch, C. V., 2014. Multivariate imputation of unequally sampled geological variables. Mathematical Geosciences, 47, 791-817.

Peer-review Conference

  1. Barnett, R. M. and Deutsch, C. V., 2012. Practical implementation of non-linear transforms for modeling geometallurgical variables. In Abrahamsen, P., Hauge, R., and Kolbjornsen, O., editors, Geostatistics Oslo 2012, pages 409{422. Springer, Netherlands.

CCG Guidebook Series

  1. Barnett, R.M., 2011. Tools for Multivariate Geostatistical Modeling, CCG Guidebook Series, Vol.14, University of Alberta, 107p.
  2. Barnett, R.M. and Neufeld, C.T., 2012. Basic Scripting Methods, CCG Guidebook Series, Vol.16, University of Alberta, 49p.
  3. Barnett, R.M. and Deutsch, C.V., 2015. Guide to Multivariate Modeling with the PPMT, CCG Guidebook Series, Vol.20, University of Alberta, 107p.

CCG Report

  1. Barnett, R.M., 2011. Conditional standardization: a multivariate transformation for the removal of non-linear and heteroscedastic features, CCG Annual Report 13, paper 310.
  2. Barnett, R.M. and Deutsch, C.V., 2012. Multivariate Standard Normal Transform: Advances and Case Studies, CCG Annual Report 14, paper 102.
  3. Barnett, R.M. and Deutsch, C.V., 2012. Non-parametric Gibbs Sampler with kernel based conditional distributions, CCG Annual Report 14, paper 102.
  4. Barnett, R.M., Manchuk, J.G., and Deutsch, C.V., 2012. Projection Pursuit Multivariate Transform, CCG Annual Report 14, paper 103.
  5. Barnett, R.M. and Deutsch, C.V., 2012. Missing data replacement in a multiGaussian context, CCG Annual Report 14, paper 112.
  6. Barnett, R.M. and Deutsch, C.V., 2012. Missing data replacement in a complex multivariate context, CCG Annual Report 14, paper 113.
  7. Barnett, R.M. and Deutsch, C.V., 2013. Imputation of geologic data, CCG Annual Report 15, paper 102.
  8. Barnett, R.M., Manchuk, J.G, and Deutsch, C.V., 2013. Advances in the Projection Pursuit Multivariate Transform, CCG Annual Report 15, paper 106.
  9. Barnett, R.M. and Deutsch, C.V., 2013. Why the log in logratios? CCG Annual Report 15, paper 108.
  10. Barnett, R.M. and Deutsch, C.V., 2013. Checking the multivariate reproduction of geostatistical models, CCG Annual Report 15, paper 125.
  11. Barnett, R.M. and Deutsch, C.V., 2013. Alternative to Bayesian Updating/P-field Mapping, CCG Annual Report 15, paper 203.
  12. Barnett, R.M. and Deutsch, C.V., 2013. Optimized long term well planning, CCG Annual Report 15, paper 303.
  13. Barnett, R.M. and Deutsch, C.V., 2013. Tutorial and tools for ACE regression and transformation, CCG Annual Report 15, paper 401.
  14. Barnett, R.M. and Deutsch, C.V., 2013. Assessing the uncertainty and value of ACE transformations, CCG Annual Report 15, paper 402.
  15. Barnett, R.M. and Deutsch, C.V., 2014. Multivariate Transformations with Exhaustive Secondary, CCG Annual Report 16, paper 103.
  16. Barnett, R.M. and Deutsch, C.V., 2014. PPMT Back-transformations, CCG Annual Report 16, paper 104.
  17. Barnett, R.M., Deutsch, J.L. and Deutsch, C.V., 2014. Practical Workflows for Geostatistical Modeling with Mean Uncertainty, CCG Annual Report 16, paper 113.
  18. Barnett, R.M. and Deutsch, C.V., 2014. A Compressed Binary Format for Large Geostatistical Models, CCG Annual Report 16, paper 413.
  19. Barnett, R.M. and Deutsch, C.V., 2015. Linear Rotations: Options for Decorrelation and Analysis, CCG Annual Report 17, paper 107.
  20. Deutsch, J.L., Barnett, R.M. and Deutsch, C.V. 2015, Latest Kriging Program, CCG Annual Report 17, paper 402.
  21. Barnett, R.M., Deutsch, J.L., and Deutsch, C.V., 2015. Summary of Some Useful Software and Tools, CCG Annual Report 17, paper 403.
  22. Barnett, R.M., Deutsch, J.L., and Deutsch, C.V., 2015. Conventional Clustering Algorithms and a Program for their Application, CCG Annual Report 17, paper 404.

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