Paper 1. Faechner, T., Pyrcz, M.J., and Deutsch, C.V., 2000, Prediction of Yield Response to Soil Remediation: Geoderma, Elsevier, v. 97, pp. 21-38.
Paper 2. Pyrcz, M.J., and Deutsch, C.V., 2001, Two Artifacts of Probability Field Simulation: Math Geology, Vol. 33, No. 7, pp. 775-799.
Paper 3. Pyrcz, M.J., and Deutsch, C.V., 2003, "The Whole Story on the Hole Effect: in Searston, S. (eds.) Geostatistical Association of Australasia, Newsletter 18, May.
Paper 4. Pyrcz, M.J., and Deutsch, C.V., 2003, Declustering and Debiasing: in Searston, S. (eds.) Geostatistical Association of Australasia, Newsletter 19, October.
Paper 5. Pyrcz, M.J. and Deutsch, C.V., 2005, Conditional Event-based Simulation: in O. Leuangthong and C.V. Deutsch (eds.), Geostatistics Banff 2004, Springer, Netherlands, pp 135-144.
Paper 6. 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.
Paper 7. Pyrcz, M.J., and Deutsch, C.V., 2006, Semivariogram Models Based On Geometric Offsets: Math Geology, Vol. 38, No. 4, pp. 475-488.
Paper 8. Pyrcz, M.J., and Deutsch, C.V., 2006, Spectrally Corrected Semivariogram Models: Math Geology, Vol. 38, No. 7.
Paper 9. 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.
Paper 10. Pyrcz, M.J., and Strebelle, S., 2006, Event-based Geostatistical Modeling of Deepwater Systems: Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, pp. 893-922.
Paper 11. Pyrcz, M.J., Clark, J, Drinkwater, N., Sullivan, M., Fildani, A and McHargue, T., 2006, Event-based Models as a Quantitative Laboratory for Testing Quantitative Rules Associated with Deepwater Distributary Lobes: Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, pp. 923-950.
Paper 12. 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.
Paper 13. Boisvert, J., Pyrcz, M.J., and Deutsch, C.V., 2007, Multiple Point Selection of Training Images: Natural Resources Research, doi: 10.1007/s11053-008-9058-9. http://www.springerlink.com/content/k9843627l327lx02/
Paper 14. Khan, D., Strebelle, S., Hanggoro, D., Willis, B., and Pyrcz, M.J., 2008, Non-stationary Multiple Point simulation to model complex deltaic deposits for flow simulation: in Ortiz, J. and Emery, X. (eds.), Geostatistics Santiago 2008, Springer, Netherlands.
Paper 15. Zhang, K., Pyrcz, M.J., and Deutsch, C.V., 2008, Advanced Stochastic Surface-based Modeling: in Ortiz, J. and Emery, X. (eds.), Geostatistics Santiago 2008, Springer, Netherlands.
Paper 16. Pyrcz, M.J., and Strebelle, S., 2008, Event-based Geostatistical Modeling: in Ortiz, J. and Emery, X. (eds.), Geostatistics Santiago 2008, Springer, Netherlands.
Paper 17. Zhang, K., Pyrcz, M.J., and Deutsch, C.V., 2009, Stochastic Surface-based Modeling for Integration of Geological Information in Turbidite Reservoir Model: Petroleum Geoscience and Engineering. http://dx.doi.org/10.1016/j.petrol.2009.06.019.
Paper 18. Pyrcz, 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.
Paper 19. 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.
Paper 20. McHargue,T., Pyrcz,M.J., Sullivan, M.D., Clark, J., Fildani, A., Romans, B., Covault, J., Levy, M., Posamentier, and H., Drinkwater,N., 2010, Architecture of turbidite channel systems on the continental slope: patterns and predictions: Marine and Petroleum Geology, Marine and Petroleum Geology, doi:10.1016/j.marpetgeo.2010.07.008.
Paper 21. Pyrcz, M.J., Sullivan, M.D., McHargue, T.R., Fildani, A., Drinkwater, N.J., Clark, J., and Posamentier, H.W., 2011, Numerical Modeling of Channel Stacking from Outcrop: in Martinsen, O., Pulham, A., Haughton, P., and Sullivan, M. (eds.), SEPM special publication - Outcrops Revitalized: Tools, Techniques and Applications.
Paper 22. McHargue, T.R., Pyrcz, M.J., Sullivan, M.D., Clark, J., Fildani, A., Drinkwater, N.J., Levy M., Posamentier, H.W., Romans, B. and Couvalt, J., 2011, Numerical Modeling of Channel Stacking from Outcrop: in Martinsen, O., Pulham, A., Haughton, P., and Sullivan, M. (eds.), SEPM special publication - Outcrops Revitalized: Tools, Techniques and Applications.
Paper 23. Cavelius, C., Pyrcz, M.J. and Strebelle, S., 2012, Continuous Trends in Multiple Point Statistics: 2012 Geostatistical Congress, Oslo, Norway
Paper 24. Pyrcz, M.J., McHargue, T., Clark, J., Sullivan, M. and Strebelle, S., 2012, Event-based Geostatistical Modeling: Description and Applications, 2012 Geostatistical Congress, Oslo, Norway, peer-reviewed proceedings.
Paper 25. 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.
Paper 26. Boisvert, J.B., Pyrcz, M.J., 2014, Conditioning 3D Object-Based Models to a Large Number of Wells: A Channel Example: Mathematics of Planet Earth, 575-579
Paper 27. Sprunt, E., Howes, S. and Pyrcz, M.J., 2014, Talent & Technology — Impact of the Big Crew Change on Employee Retention, Journal of Petroleum Technology: V. 66, No. 3, http://www.spe.org/jpt/article/5908-talent-technology-impact-of-the-big-crew-change-on-employee-retention/
Paper 28. Pyrcz, M.J., and White, C.D., 2015, Uncertainty in reservoir modeling, Interpretation, v. 3 (2), SQ7-SQ19.
Paper 29. 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.
Paper 30. Pyrcz, M.J., 2016, Mariethoz, and Caers: Multiple-point Geostatistics (Book Review), Mathematical Geosciences, v. 48 (3), pp. 349-351.
Paper 31. Kaplan, R., Pyrcz, M.J., and Strebelle, S., 2017, Deepwater Reservoir Connectivity Reproduction from MPS and Process-Mimicking Geostatistical Methods, Geostatistics Valencia 2016, Springer, pp. 601-611.
Paper 32. 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.
Paper 33. Strebelle, S., Vitel, S. and Pyrcz, M.J., 2017, Integrating New Data in Reservoir Forecasting Without Building New Models, Geostatistics Valencia 2016, Springer, pp. 721-731.
Paper 34. Sullivan, M., Power, B., Laugier, F., Pyrcz, M.J., Dunn, T., Zarra, L. and Covault, J., 2017, Relationship between Reservoir Quality, Facies and Depositional Environment: Working Towards a Predictive Model for the Deepwater Wilcox, Houston Geological Society Bulletin 59 (7), 17
Paper 35. 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 v. 102, No. 9., pp. 1685-1702. DOI:10.1306/01081817308
Paper 36. Nwachukwu, A., Jeong, H., Pyrcz, M.J. and Lake, L.W., 2018, Fast evaluation of well placements in heterogeneous reservoir models using machine learning, Journal of Petroleum Science and Engineering 163, 463-475
Paper 37. Wang, Y.C., Pyrcz, M.J., Catuneanu, O. and Boisvert, J.B., 2018, Conditioning 3D object-based models to dense well data, Computers & Geosciences v. 115, pp. 1-11
Paper 38. Jaing, H., Daigle, H., Tian, X., Pyrcz, M.J., Griffith, C., and Zhang, B., 2019, A Comparison of Clustering Algorithms applied to Fluid Characterization using NMR T1-T2 Maps of Shale, Computers and Geosciences, 126, p 52-61.
Paper 39. Hedge, C., Millwater, H., Daigle, H., Pyrcz, M.J., and Gray, K.E., 2019, Rate of penetration (ROP) optimization in drilling with vibration control, Journal of Natural Gas Science and Engineering, v. 67, p. 71-81.
Paper 40. Jo, H., and Pyrcz, M.J., 2019, Robust Rule-based Aggradational Lobe Reservoir Models, Natural Resources Research, v. 29, pp 1193-1213.
Paper 41. Pyrcz, M.J., 2019, Data analytics and geostatistical workflows for modeling uncertainty in unconventional reservoirs, Bulletin for Canadian Society of Petroleum Geologists, v. 67(4), pp 273-282.
Paper 42. Brown, C., Fadili, A., Holubnyak, Y., Kristensen, M., Leetaru, H., Pyrcz, M.J., Sullivan, C., Williams, M., and Reza, Z., 2019, Introduction to special section: Wastewater disposal and CO2 transport in the subsurface, Interpretations, vol. 7(4), pp. SLi-SLii.
Paper 43. Hedge, C., Millwater, H., Daigle, H., Pyrcz, M.J., and Gray, K.E., 2020, Fully coupled end-to-end drilling optimization model using machine learning, Journal of Petroleum Science and Engineering, Journal of Petroleum Science and Engineering, v 180, p 106681.
Paper 44. Santos, J.E., Xu, D., Jo, H., Landry, C.J., Prodanović, M., Pyrcz, M.J., 2020, PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media, Advances in Water Resources v. 138, p. 103539
Paper 45. Khanna, P., Pyrcz, M.J., Droxler, A., Harris, P.M., and Lehrmann, D., 2020, Implications for controls on Upper Cambrian microbial build-ups across 1 multiple-scales, Mason County, Central Texas, USA, Marine and Petroleum Geology, 121, p 104590.
Paper 46. Jo, H., Santos, J.E., Pyrcz, M.J., 2020, Conditioning Well Data to Rule-based Lobe Model by Machine Learning with a Generative Adversarial Network, Energy Exploration & Exploitation, 38 (6), p 2558-2578.
Paper 47. Liu, W., Pyrcz, M.J., 2020, A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling. Math Geosci (2020). https://doi.org/10.1007/s11004-020-09892-z
Paper 48. Pan, W., Pyrcz, M.J., Torres-Verdin, C., 2020, Stochastic Pix2pix: A New Machine Learning Method for Geophysical and Well Conditioning of Rule-Based Channel Reservoir Models. Nat Resour Res 30, 1319–1345 (2021). https://doi.org/10.1007/s11053-020-09778-1
Paper 49. Santos, J.E., Mehana, M., Wu, H., Prodanovic, M., Pyrcz, M.J., Kang, Q., Lubbers, N., and Viswanathan, H., 2020, Modeling nanoconfinement effects using active learning, Journal of Physical Chemistry C, v124(40), p. 22200-22211.
Paper 50. Brusova, O., Corzo, M. and Pyrcz, M.J., 2020, Introduction to this special section: Machine learning and AI, The Leading Edge, v39(10), 700-700.
Paper 51. Liu, W., Ikonnikova, S., Hamlin, S., Sivila, L. and Pyrcz, M.J., 2021, Demonstration and Mitigation of Spatial Sampling Bias for Machine Learning Predictions, SPE Reservoir Evaluation & Engineering 24 (01), 262-274.
Paper 52. Pisel, J., Pyrcz, M.J., 2021, Classifying basin-scale stratigraphic geometries from well logs with machine learning, The Depositional Record 7 (1), 64-76
Paper 53. Jo, H., Pyrcz, M.J., 2021, Automatic Semivariogram Modeling by Convolutional Neural Network. Math Geosciences, https://doi.org/10.1007/s11004-021-09962-w
Paper 54. Salazar. J.J., and Pyrcz, M.J., 2021, Geostatistical Significance of Differences for Spatial Subsurface Phenomenon, Journal of Petroleum Science and Engineering, v203, p. 108694. https://doi.org/10.1016/j.petrol.2021.
Paper 55. Jo, H., Pan, W., Santos, J.E., Jung, H., and Pyrcz, M.J., 2021, Machine Learning Assisted History Matching for a Deepwater Lobe System, Journal of Petroleum Science and Engineering, p. 109086. https://doi.org/10.1016/j.petrol.2021.109086.
Paper 56. Santos, J.E., Yin, Y., Jo, H., Pan, W., Kang, Q., Viswanathan, H.W., Prodanović, M., Pyrcz, M.J., and Lubbers N., 2021, Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media. Transport in Porous Media (2021). https://doi.org/10.1007/s11242-021-01617-y
Paper 57. Maldonado-Cruz, E., and Pyrcz, M.J., 2021, Tuning Machine Learning Dropout for Subsurface Uncertainty Model Accuracy, Journal of Petroleum Science and Engineering, p. 108975, https://doi.org/10.1016/j.petrol.2021.108975.
Paper 58. Farell, R., Bickel, E., and Pyrcz, M.J., in press, Estimating Proved Oil Reserves in Unconventional Assets: Spatial Bootstrapping with N-Effective, Petroleum Science and Engineering, Society for Petroleum Engineers.
Paper 59. Soares, C., Daigle, H., Millwater, H., Pyrcz, M.J., and Gray, K., in press, Data Segmentation Techniques for Real-time Drilling Interval Optimization with Continuous Learning of Analytical and Machine Learning Rate of Penetration Models, SPE Drilling & Completion, Society for Petroleum Engineers.
Paper 60. Pisel, J., Dierker, J., Srivastava, S., Ravilisetty, S., Pyrcz, M.J., in press, A recommender system for predicting true vertical depth to subsurface formation tops, Marine and Petroleum Geology.m Engineers.
Paper 61. Honggen, Jo, Laugier, F.L., Sullivan, M.D., and Pyrcz, M.J., in press, Stratigraphic Controls on Connectivity and Flow Performance in Deepwater Lobe-Dominated Reservoirs, AAPG Bulletin.
Invited Keynote Talks
Presentation 1. Pyrcz, M.J., Clark, J, Drinkwater, N. and Sullivan, M., 2006, Event-Based Models as Laboratory for Testing Quantitative Rules: AAPG Annual Conference / SEPM Deepwater Research Meeting, Houston, TX, April 2006.
Presentation 2. Pyrcz, M.J., Sebastien Strebelle, Morgan Sullivan, Nicholas J. Drinkwater, Julian Clark, Andrea Fildani, and Tim McHargue, 2007, Event-based Geostatistical Modeling: Stanford Center for Reservoir Forecasting (SCRF), Energy Resources Engineering Department, Stanford, CA, April, 19th.
Presentation 3. Pyrcz, M.J., Morgan Sullivan, Nicholas J. Drinkwater, Julian Clark, Andrea Fildani and Tim McHargue, 2007, Event-based Geostatistical Modeling: Improved Geostatistical Models Through the Integration of Geologic Process: Sedimentary Research Group (SED), Department of Geological and Environmental Sciences, Stanford University, Stanford, CA, April, 20th.
Presentation 4. Pyrcz, M.J., 2011, Applications of Rule-based Models and Geostatistics: Community Surface Dynamics Modeling Systems (CSDMS), Boulder, Colorado, October 28th to 30th, 2011.
Presentation 5. Covault, J.A., Romans, B.W., Fildani, A., Madof, A., Harris, A., Pyrcz, M.J., and Sun, T., 2012, Sediment budget framework for source to sink predictions: MYRES V The Sedimentary Record of Landscape Dynamics: Salt Lake City, UT, August 8-10.
Presentation 6. Pyrcz, M.J., 2014, Reservoir Geostatistics and New Process Mimicking Approaches: Rice University, Earth Science Lecture Series, Houston, TX, October 2nd.
Presentation 7. Pyrcz, M.J., and Sech, R., 2015, When Geostatistical Reservoir Models Become Unfit for Purpose (And Ways to Avoid This): Geological Society of London, Reservoir modeling Conference at University of Aberdeen, March 4-5, 2015.
Presentation 8. Pyrcz, M.J., 2015, What Geologists Need to Know About Geostatistical Reservoir Modeling, Texas A&M, AAPG Student Chapter Lecture Series, Nov. 5th, 2015.
Presentation 9. Pyrcz, M.J., 2015, Improved Geological and Geophysical Integration in Reservoir Modeling, The University of Texas at Austin, SEG Student Chapter Lecture Series, Nov. 12th, 2015.
Presentation 10. Pyrcz, M.J., Fall 2018, Data analytics/geostatistics workflows for modeling uncertainty for unconventionals, Gussow Conference: Canadian Society of Petroleum Geologists, Banff, Canada.
Presentation 11. Pyrcz, M.J., 2019-2020, Subsurface Data Analytics and Machine Learning, Distinguished Lecture, American Association for Petroleum Geologists. Multiple events.
Presentation 12. Pyrcz, M.J., Summer, 2020, Open source spatial data analytics in Python, Tutorial at TRANSFORM2020, Virtual Conference, Class with over 100 geoscience, data science, and engineering professionals and students.
Conference Presentations / Papers
Presentation 1. Pyrcz, M.J. and C.V. Deutsch, 2002, Debiasing for Improved Inference of the One-Point Statistic: 30th International Symposium on Computer Applications in the Mineral Industries (APCOM), Phoenix, USA, February 25-27.
Presentation 2. Deutsch, C.V., Pyrcz, M.J., and Tran, T.T., 2002, Geostatistical Assignment of Reservoir Properties on Unstructured Grids: The Society of Petroleum Engineers Annual Technical Conference and Exhibition held in San Antonio, USA, 29 September–2 October (SPE 77427).
Presentation 3. Pyrcz, M.J., and Deutsch, C.V., 2003, Stochastic Surface Modeling in Mud Rich, Fine-grained Turbidite Lobes: American Association of Petroleum Geologists Annual Meeting, Salt Lake, USA. May 11-14.
Presentation 4. Pyrcz, M.J., and Deutsch, C.V., 2004, Stochastic Modeling of Inclined Heterolithic Stratification with the Bank Retreat Model: 2004 CSPG/CWLS/CHOA Joint Convention (ICE2004), Calgary, Canada.
Presentation 5. Pyrcz, M.J., and C. V. Deutsch, 2004, Conditioning Complex Curvilinear Lithofacies Models: Geostatistical Congress, Banff, Canada, Sept 26th - Oct 1st.
Presentation 6. Pyrcz, M.J., Leuangthong, O., Deutsch, C.V., 2005, Hierarchical Trend Modeling for Improved Reservoir Characterization: International Association of Mathematical Geology, Toronto, Canada.
Presentation 7. Pyrcz, M.J and Strebelle, S., 2006, Event-based Geostatistical Modeling of Deepwater Systems: Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, Houston, USA.
Presentation 8. Pyrcz, M.J., Clark, J, Drinkwater, N., Sullivan, M., Fildani, A and McHargue, T., 2006, Event-based Models as a Quantitative Laboratory for Testing Quantitative Rules Associated with Deepwater Distributary Lobes: Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, Houston, USA.
Presentation 9. Springhorn, S., Sullivan, M.D., Pyrcz, M.J., Alward, R., Skartvedt-Forte, M., Demucha, B., Spaeth, S. and Lawlor, N., 2007, Hierarchical Analysis of Channelized Deepwater Deposits: American Association of Petroleum Geologists Annual Meeting, Long Beach, USA.
Presentation 10. Khan, D., Strebelle, S., Hanggoro, D., Willis, B., and Pyrcz, M.J., 2008, Non-stationary Multiple Point simulation to model complex deltaic deposits for flow simulation, in Ortiz, J., and Emery, X. (eds.), Geostatistics Santiago 2008, Springer, Netherlands.
Presentation 11. Zhang, K., Pyrcz, M.J., and Deutsch, C.V., 2008, "Advanced Stochastic Surface-based Modeling”, in Ortiz, J. and Emery, X. (eds.), Geostatistics Santiago 2008, Springer, Netherlands.
Presentation 12. Sullivan, M.D., Pyrcz, M.J., Posamentier, H.W., McHargue, T.R., Fildani, A., Drinkwater, N.J., and Clark, J., 2008, Recent advances in deepwater slope valley depositional models: Implications of channel-fill percent and stacking patterns on reservoir architecture and producibility, AAPG International Annual Convention, Cape Town, South Africa.
Presentation 13. Pyrcz, M.J., Sullivan, M.D., McHargue, T.R., Fildani, A., Drinkwater, N.J., Clark, J., and Posamentier, H.W., 2008 , A showcase of event-based models., AAPG International Annual Convention, Cape Town, South Africa.
Presentation 14. Fildani, A., Pyrcz, M.J., Romans, B., McHargue, M., Sullivan, M., Clark, J., Drinkwater, D., Posamentier, H., and Hilley, G. 2008, Event-based modeling – a new frontier to explore deepwater systems, Geologic Society of America, Houston, Texas, USA.
Presentation 15. McHargue, T., Sullivan, M., Clark, J., Fildani, A., Pyrcz, M.J., Levy, M., Posamentier, H., Drinkwater, N., and Romans, B., 2008, Event-based forward modeling – visualizing and predicting turbidite channel architectures, Geologic Society of America, Houston, Texas, USA.
Presentation 16. Pyrcz, M.J., Sullivan, M.D., McHargue, T.R., Fildani, A., Drinkwater, N.J., Clark, J., and Posamentier, H.W., 2008, Numerical Modeling of Channel Stacking from Outcrop., SEPM research meeting, Kilkee Ireland.
Presentation 17. McHargue, T.R., Clark, J., Sullivan, M., Fildani, A., Drinkwater, N., Pyrcz, M.J., and Posamentier, H.W., 2008, Thicknesses of turbidite channel elements and their abandonment facies constrain stacking pattern and net sand, SEPM research meeting, Kilkee Ireland.
Presentation 18. McHargue, T., Clark, J., Sullivan, M., Fildani, A., Pyrcz, M.J., Romans, B., Levy, M., Posamentier, H., Covault, J., 2009, Assumed allocyclicity yields predictive model of turbidite channel architectures, SEPM Research Conference – Magallanes Basin, Chile. February 22-28 (best paper award).
Presentation 19. Clark, J., D.R. Pyles, R. Bouroullec, R. Amerman, M. Hoffman, J. Moody, A. Moss, P. Setiawan, H. Silalahi, T. Heard, C. Guzofski, A. Fildani, N. Drinkwater, M. Pyrcz, 2010, Structural controls on deepwater architecture and facies in the Eocene Ainsa Basin, Spanish Pyrenees: American Association of Petroleum Geologists Annual Meeting, New Orleans, USA.
Presentation 20. McHargue, T., Pyrcz, M., Sullivan, M., Clark, J., Levy, M., Fildani, A., Posamentier, H., Romans, B., and Covault, J.A., 2010, Predicting reservoir architecture of turbidite channel complexes; a general model adaptable to specific situation: The Geologic Society of America, v. 42, p. 51, https://gsa.confex.com/gsa/2010CD/finalprogram/abstract_173634.htm.
Presentation 21. Romans, B.W., Fildani, A., Covault, J.A., Sullivan, M., Clark, J., Power, B., Pyrcz, M.J., Bracken, B., Willis, B., and Payenberg, T., 2011, Remembering the ‘source’ when applying source-to-sink concepts in clastic stratigraphy: American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 10-13.
Presentation 22. Payenberg, T., Willis, B., Bracken, B., Posamentier, H.W., Pyrcz, M.J., Pusca, V., and Sullivan, M.D., 2011, Remembering the ‘source’ when applying source-to-sink concepts in clastic stratigraphy: American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 10-13.
Presentation 23. McHargue, T.R., Pyrcz, M.J., Sullivan, M.D., Clark, J., Fildani, A., Drinkwater, N.J., Levy M., Posamentier, H.W., Romans, B. and Couvalt, J., 2011, Numerical Modeling of Channel Stacking from Outcrop., in Martinsen, O., Pulham, A., Haughton, P., and Sullivan, M. (eds.), SEPM special publication - Outcrops Revitalized: Tools, Techniques and Applications, Kilkee, Ireland.
Presentation 24. Pyrcz, M.J., Sullivan, M.D., McHargue, T.R., Fildani, A., Drinkwater, N.J., Clark, J., and Posamentier, H.W., 2011, Numerical Modeling of Channel Stacking from Outcrop., in Martinsen, O., Pulham, A., Haughton, P., and Sullivan, M. (eds.), SEPM special publication - Outcrops Revitalized: Tools, Techniques and Applications, Kilkee, Ireland.
Presentation 25. Sullivan, M.D., Pyrcz, M.J., and Covault, J.A., 2012, Hierarchical modeling of deepwater channelized reservoirs; the difference that makes a difference: The Geological Society of America Annual Meeting, Charlotte, USA, November 4-7.
Presentation 26. Sun, T., Covault, J.A., Pyrcz, M.J., and Sullivan, M., 2012, Computer simulations of channel meandering and the formation of point bars; linking channel dynamics to the preserved stratigraphy: American Geophysical Union Fall Meeting, San Francisco, USA, December 3-7 (invited abs.).
Presentation 27. Pyrcz, M.J., McHargue, T., Clark, J. Sullivan, M.D., Sebastien, S., 2012, Event-Based Geostatistical Modeling Applications, American Association of Petroleum Geologists Annual Meeting, Long Beach, USA.
Presentation 28. Covault, J.A., Sun, T., Carvajal, C., Milliken, K., Fildani, A., Pyrcz, M.J., and Zarra, L., 2013, Source-to-sink scaling relationships, sediment budgets, and landscape evolution for Paleogene Gulf of Mexico deep-water stratigraphic predictions: Gulf Association of the Geological Societies Annual Convention, New Orleans, USA, October 6-8.
Presentation 29. Sullivan, M.D., Pyrcz, M.J., and Covault, J.A., 2013, Hierarchical modeling of deepwater channelized reservoirs; the difference that makes a difference: American Association of Petroleum Geologists Pacific Section Annual Convention, Monterey, USA, April 19-25.
Presentation 30. Sprunt, E., Howes, S. and Pyrcz, M.J., 2014, Attraction and Retention of Employees, Results of 2013 Society of Petroleum Engineers Talent Council Survey (SPE paper number 16811).
Presentation 31. Carvajal, C., Sullivan, M.D., Pyrcz, M.J., and Covault, J.A., 2014, Hierarchical modeling of deepwater channelized reservoirs; the difference that makes a difference: American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 6-9.
Presentation 32. Sun, T., Covault, J., Harris, A., Pyrcz, M.J., and Perlmutter, M., 2014, Upstream and downstream controls on sediment routing and deposition in a complete “source-to-sink” system from a simple computer model: American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 6-9.
Presentation 33. Covault, J.A., Carvajal, C., Milliken, K., Pyrcz, M.J., Sun, T., and Zarra, L., 2014, Sediment routing-mass balance workflows for Paleogene Gulf of Mexico deep-water stratigraphic predictions: American Association of Petroleum Geologists Geosciences Technology Workshop, Trinidad and Tobago, March 9-11 (invited pres.).
Presentation 34. Sech, R., Willis, B., Pyrcz, M.J. and Bracken, B., 2014, Representing Fluvial Channel Belt Heterogeneity in Reservoir Models, American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 6-9.
Presentation 35. Payenberg, T., Willis, B., Pusca, V., Sixsmith, P., Bracken, B., Posamentier, H., Pyrcz, M,J, Sech, R., Connell, S., and Sullivan, M.D., 2014, Channel Belt Rugosity in Reservoir Characterization, American Association of Petroleum Geologists Annual Meeting, Houston, USA, April 6-9.
Presentation 36. Covault, J.A., Carvajal, C., Milliken, K., Pyrcz, M.J., Sun, T., and Zarra, L., 2014, Source-to-sink sediment budgets for Paleogene Gulf of Mexico deep-water stratigraphic predictions: Gulf Coast Section Society for Sedimentary Research Perkins Research Conference, Houston, USA, January 26-28.
Presentation 37. Pyrcz, M.J., Sech, R., Covault, J., and Sun, T., 2014, Process-mimicking modeling consideration: Gussow Geoscience Conference, Banff, Canada, 22-24 September 2014 (invited abs.).
Presentation 38. Willis, B.J., Sech, R., Sun, T., and Pyrcz, M.J., 2014, Predicting facies patterns within fluvial channel belts: American Geophysical Union Annual Conference, San Francisco, USA, Dec. 15th – 19th.
Presentation 39. Block, A., Perlmutter, M., Thorne, J., and Pyrcz, M.J., 2014, Toward an Objective Method to Distinguishing Delta Depositional Environments, American Geophysical Union Annual Conference, San Francisco, USA, Dec. 15th – 19th.
Presentation 40. Laugier, F., Covault, J., Pyrcz, M.J., Sech, R., Sun, T., and Sullivan M.D., 2015, Reservoir Modeling of Deepwater Depositional Lobes, American Association of Petroleum Geologists Annual Meeting, Denver, USA.
Poster Presentations
Poster 1.Pyrcz, M.J, and Strebelle, S., 2006, “Event-based Geostatistical Modeling of Deepwater Systems”, Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, Houston, USA, December 2006.
Poster 2.Pyrcz, M.J., Clark, J, Drinkwater, N., Sullivan, M., Fildani, A and McHargue, T., 2006, "Event-based Models as a Quantitative Laboratory for Testing Quantitative Rules Associated with Deepwater Distributary Lobes", Reservoir Characterization: Integrating Technology and Business Practices: Gulf Coast Section-SEPM Twenty-Sixth Annual Research Conference, Houston, USA, December, 2006.
Poster 3. Kaplan, R., Pyrcz, M., Covault, J., Sech, R., and Sullivan M.D., 2015, Flow Significant Architectures for Deepwater Reservoirs, American Association of Petroleum Geologists Annual Meeting, Denver, USA.
Conference Session Chair
Session Chair 1. Pyrcz, M., Gladczenko, T., and Caers, J., 2007, “3D Modeling: Geostatistics, Upscaling and Flow Simulation”, American Association of Petroleum Geologists Annual Convention 2007 – Long Beach, USA.
Session Chair 2. Pyrcz, M., and Tomasso, M., 2008, “Advanced Quantitative Stratigraphy and Model Construction: Outcrop, Experiment and Process to Subsurface”, American Association of Petroleum Geologists Annual Convention 2008 – San Antonia, USA.
Session Chair 3. Pyrcz, M., and Pirmez, C., 2008, “Experimental and Numerical Models of Deep-Water Processes”, American Association of Petroleum Geologists International Annual Convention 2008, Cape Town, South Africa.
Session Chair 4. Hajek, L., and Pyrcz, M.J., 2013, Outcrop, Subsurface, and Simulation: Perspectives on Quantitative Modeling of Sedimentary Systems, American Association of Petroleum Geologists International Annual Convention, Pitsburg, USA (oral and poster).
Session Chair 5. Dixon, B., Pyrcz, M.J., Jobe, Z.R., 2014, Sedimentology, Architecture and Process Controls of Deepwater Siliciclastic Systems: American Association of Petroleum Geologists International Annual Convention, Houston, USA.
Session Chair 6. Pyrcz, M.J., Stright, L. and Hajek, L., 2014, Outcrops, Stratigraphy, and Geomodeling: Canadian Society for Petroleum Geologists Gussow Conference, Banff, Canada.
Session Chair 7. Pyrcz, M.J., Hampson, G., Kim, W., 2015, Quantitative Characterization and Modeling of Sedimentary Systems: American Association of Petroleum Geologists International Annual Convention, Denver, USA (oral and poster).
Session Chair 8. Stright, L., Pyrcz, M.J., 2016, Reservoir Modeling: American Association of Petroleum Geologists International Annual Convention, Calgary, Canada (oral and poster).
Session Chair 9. Casey, M., Pyrcz, M.J., Srivastava, M., Fall 2018, Gussow Conference: Canadian Society of Petroleum Geologists, Banff, Canada (chair, organizing committee, and presenter).
Authorship and Taught Courses
Sullivan, M., Mooney, T., McHargue, T., Clark, J., Drinkwater, N., Fildani, A., Stelting, C., and Pyrcz, M.J., 2006, Hierarchical Analysis of Deep Water Reservoir Prediction and Characterization, Chevron Energy Technology Company, Houston, TX.
Meddaugh, W. and Pyrcz, M.J., 2006, 2008, 2011, 2013 Geostatistics Two Day Theory, Chevron Energy Technology Company, Houston, TX (various versions of same course)
Deutsch, C.V., Leuangthong, O., Nguyen, H, Norrena, K, Ortiz, J, Oz, B, Pyrcz, M.J., and Zanon, S. (2001) Principles of Monte Carlo Simulation, A One-Day Short Course, University of Alberta.
Pyrcz, M.J., Fall, 2017, PGE 383 Stochastic methods for reservoir modeling, The University of Texas at Austin, TX, USA, Graduate class of 5 students.
Pyrcz, M.J., Spring, 2018, PGE 337 Introduction to Data Analytics and Geostatistics, The University of Texas at Austin, TX, USA, Undergraduate class of 35 students.
Pyrcz, M.J., Summer, 2018, Geostatistics for Geoscientists, Rocky Mountain Association of Geologists, Denver, CO, USA, a 2-day short course to 30 professionals.
Pyrcz, M.J., Summer, 2018, Geostatistics for Geoscientists, Anadarko Corporation, Midland, TX, USA, a 2-day short course to 30 professionals.
Pyrcz, M.J., Santos, J., Fall, 2018, Reservoir Characterization and Development, Baker Hughes a General Electric company, Oil and Gas University, Florence, Italy, 3-day short course to 30 professionals.
Pyrcz, M.J., Fall, 2018, PGE 337 Introduction to Geostatistics, University of Texas at Austin, TX, USA, Undergraduate class of 55 students.
Pyrcz, M.J., Jo, H., Spring, 2019, Reservoir Characterization and Development, Baker Hughes a General Electric company, Oil and Gas University, Florence, Italy, 3-day short course to 30 professionals.
Pyrcz, M.J., Spring, 2019, Data analytics, geostatistics and machine learning workshop, Equinor, Austin, TX, USA, a 1-day course with about 20 geoscience, data science and engineering professionals.
Pyrcz, M.J., Spring, 2019, Data analytics, geostatistics and machine learning workshop, Anadarko, The Woodlands, TX, USA, 2-day course with about 20 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Spring, 2019, Data analytics, geostatistics and machine learning workshop, Hess, Houston, TX, USA, a 5-day course with about 20 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Spring, 2019, PGE 383 Stochastic methods for reservoir modeling, The University of Texas at Austin, TX, USA, Graduate class.
Pyrcz, M.J., Spring, 2019, Data analytics workshop, Andarko, Houston, TX, USA, 1-half day course with about 20 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Spring, 2019, Data analytics workshop, Chevron ETC, Houston, TX, USA, 1-half day course with about 20 geoscience, data science and engineering professionals.
Pyrcz, M.J., and Didi, O., Spring, 2019, Geostatistics and machine learning for geoscientists, American Association of Petroleum Geologists International Annual Convention, TX, USA, a1 day short course professional development.
Pyrcz, M.J., Covault, J., and Sech, R., Spring, 2019, Reservoir characterization to modeling, American Association of Petroleum Geologists International Annual Convention, TX, USA, a 1 day short course professional development.
Pyrcz, M.J., Foster, J.T., Summer, 2019, Data science boot camp, Houston, TX, USA, a 5-day class with about 10 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Summer, 2019, Introduction to subsurface data analytics and geostatistics, IHSMarkit, Houston, TX, USA, 2-day class with about 20 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Foster, J.T., Summer, 2019, Data science boot camp, Houston, TX, USA, a 5-day class with about 15 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Summer, 2019, Introduction to subsurface data analytics and machine learning, IHSMarkit, Houston, TX, USA, 2-day class with about 20 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Fall, 2020, Subsurface machine learning, Society for Petroleum Engineers, Rice University, TX, USA, 1-day class with about 150 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Fall, 2019, Introduction to subsurface machine learning, BP Advanced Modeling Team, The University of Texas at Austin, TX, USA, a 3-day class with about 10 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Fall, 2019, Introduction to subsurface machine learning, Aramco Americas, Houston, TX, USA, 1-half day class with about 10 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Fall, 2019, PGE 383 Subsurface machine learning, The University of Texas at Austin, TX, USA, Undergraduate/Graduate class with about 50 students.
Pyrcz, M.J., Fall, 2019, Introduction to subsurface machine learning, Noble Energy, Houston, TX, USA, 2-day class with about 20 geoscience and engineering professionals.
Pyrcz, M.J., Winter, 2020, Subsurface machine learning, Society for Petroleum Engineers, Houston, TX, USA, a 1-day class with about 50 geoscience, data science, and engineering professionals.
Pyrcz, M.J., Summer, 2020, Introduction to subsurface machine learning, Noble Energy, Houston, TX, USA, 4-half day class with about 20 geoscience and engineering professionals.
Pyrcz, M.J., Fall, 2020, Energy Data Analytics, The University of Texas at Austin, TX, USA, Undergraduate/Graduate class with about 50 students.
Pyrcz, M.J., Fall, 2020, The University of Texas at Austin, TX, USA, Undergraduate/Graduate class with about 50 students.
Pyrcz, M.J., Summer, 2020, Introduction to energy machine learning, Chevron MCBU, Houston, TX, USA, 4-half day class with about 20 geoscience and engineering professionals.
Pyrcz, M.J., Summer, 2020, Subsurface machine learning, Chevron MCBU, Houston, TX, USA, 2-half day class with about 20 geoscience and engineering professionals.
Pyrcz, M.J., Summer, 2020, Energy machine learning for executives, Noble Energy, Houston, TX, USA, Class with >120 HR and finance professionals.
Pyrcz, M.J., Fall, 2020, PGE 383 Subsurface machine learning, The University of Texas at Austin, TX, USA, Undergraduate/Graduate class with about 50 students.
Copyright © 2021 Professor Michael J. Pyrcz, The University of Texas at Austin
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