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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
6422014
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
3262011
Stochastic surface-based modeling of turbidite lobes
MJ Pyrcz, O Catuneanu, CV Deutsch
AAPG bulletin 89 (2), 177-191, 2005
1542005
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
1082009
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
882020
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
842018
The whole story on the hole effect
MJ Pyrcz, CV Deutsch
Geostatistical Association of Australasia, Newsletter 18, 3-5, 2003
842003
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
822008
Multiple-point statistics for training image selection
JB Boisvert, MJ Pyrcz, CV Deutsch
Natural Resources Research 16 (4), 313-321, 2007
812007
Improved geostatistical models of inclined heterolithic strata for McMurray Formation, Alberta, CanadaGeostatistical Models of Inclined Heterolithic Strata, Alberta
MM Hassanpour, MJ Pyrcz, CV Deutsch
AAPG bulletin 97 (7), 1209-1224, 2013
522013
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
512009
Integration of geologic information into geostatistical models
MJ Pyrcz
502004
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
432015
Declustering and debiasing
MJ Pyrcz, CV Deutsch
Newsletter 19, 1-14, 2003
382003
Machine learning-based optimization of well locations and WAG parameters under geologic uncertainty
A Nwachukwu, H Jeong, A Sun, M Pyrcz, LW Lake
SPE improved oil recovery conference, 2018
352018
Multiple point metrics to assess categorical variable models
JB Boisvert, MJ Pyrcz, CV Deutsch
Natural resources research 19 (3), 165-175, 2010
342010
Quantifying sediment supply to continental margins: Application to the Paleogene Wilcox Group, Gulf of Mexico
J Zhang, J Covault, M Pyrcz, G Sharman, C Carvajal, K Milliken
AAPG Bulletin 102 (9), 1685-1702, 2018
322018
Prediction of yield response to soil remediation
T Faechner, MJ Pyrcz, CV Deutsch
Geoderma 97 (1-2), 21-38, 2000
322000
Event-based geostatistical modeling: description and applications
MJ Pyrcz, T McHargue, J Clark, M Sullivan, S Strebelle
Geostatistics Oslo 2012, 27-38, 2012
292012
Two artifacts of probability field simulation
MJ Pyrcz, CV Deutsch
Mathematical geology 33 (7), 775-799, 2001
252001
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