MICHAEL J PYRCZ
MICHAEL J PYRCZ
Associate Professor, The University of Texas at Austin
Verified email at austin.utexas.edu - Homepage
Title
Cited by
Cited by
Year
Geostatistical reservoir modeling
MJ Pyrcz, CV Deutsch
Oxford university press, 2014
15912014
Architecture of turbidite channel systems on the continental slope: patterns and predictions
T McHargue, MJ Pyrcz, MD Sullivan, JD Clark, A Fildani, BW Romans, ...
Marine and Petroleum Geology 28 (3), 728-743, 2011
2642011
Stochastic surface-based modeling of turbidite lobes
MJ Pyrcz, O Catuneanu, CV Deutsch
AAPG bulletin 89 (2), 177-191, 2005
1322005
ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems
MJ Pyrcz, JB Boisvert, CV Deutsch
Computers & Geosciences 35 (8), 1671-1685, 2009
962009
Multiple-point statistics for training image selection
JB Boisvert, MJ Pyrcz, CV Deutsch
Natural Resources Research 16 (4), 313-321, 2007
712007
The whole story on the hole effect
MJ Pyrcz, CV Deutsch
Geostatistical Association of Australasia, Newsletter 18, 3-5, 2003
712003
A library of training images for fluvial and deepwater reservoirs and associated code
MJ Pyrcz, JB Boisvert, CV Deutsch
Computers & Geosciences 34 (5), 542-560, 2008
672008
Stochastic surface modeling of deepwater depositional systems for improved reservoir models
X Zhang, MJ Pyrcz, CV Deutsch
Journal of Petroleum Science and Engineering 68 (1-2), 118-134, 2009
482009
Integration of geologic information into geostatistical models
MJ Pyrcz
452005
Improved geostatistical models of inclined heterolithic strata for McMurray Formation, Alberta, Canada
MM Hassanpour, MJ Pyrcz, CV Deutsch
AAPG bulletin 97 (7), 1209-1224, 2013
442013
Fast evaluation of well placements in heterogeneous reservoir models using machine learning
A Nwachukwu, H Jeong, M Pyrcz, LW Lake
Journal of Petroleum Science and Engineering 163, 463-475, 2018
402018
Stratigraphic rule-based reservoir modeling
MJ Pyrcz, RP Sech, JA Covault, BJ Willis, Z Sylvester, T Sun, D Garner
Bulletin of Canadian Petroleum Geology 63 (4), 287-303, 2015
352015
Fractures in carbonates: From digital outcrops to mechanical models
P Gillespie, E Monsen, L Maerten, D Hunt, J Thurmond, D Tuck, ...
Outcrops revitalized—Tools, techniques and applications: Tulsa, Oklahoma …, 2011
30*2011
Stochastic modeling and geostatistics: principles, methods, and case studies, vol. II, AAPG computer applications in geology 5
TC Coburn, JM Yarus, RL Chambers
AAPG, 2005
29*2005
Declustering and debiasing
MJ Pyrcz, CV Deutsch
Newsletter 19, 2003
272003
Event-based geostatistical modeling: description and applications
MJ Pyrcz, T McHargue, J Clark, M Sullivan, S Strebelle
Geostatistics Oslo 2012, 27-38, 2012
252012
Multiple point metrics to assess categorical variable models
JB Boisvert, MJ Pyrcz, CV Deutsch
Natural resources research 19 (3), 165-175, 2010
242010
Two artifacts of probability field simulation
MJ Pyrcz, CV Deutsch
Mathematical geology 33 (7), 775-799, 2001
242001
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
JE Santos, D Xu, H Jo, CJ Landry, M Prodanović, MJ Pyrcz
Advances in Water Resources 138, 103539, 2020
212020
System and method for generating a geostatistical model of a geological volume of interest that is constrained by a process-based model of the geological volume of interest
MJ Pyrcz, MS Andres, FW Harris III, M Levy, PM Harris
US Patent 8,954,303, 2015
212015
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