Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Michael J. Pyrcz"'
Publikováno v:
Energy Exploration & Exploitation, Vol 42 (2024)
Identifying subsurface resource analogs from mature subsurface datasets is vital for developing new prospects due to often initial limited or absent information. Traditional methods for selecting these analogs, executed by domain experts, face challe
Externí odkaz:
https://doaj.org/article/476391cc3de24647afb4a848186468b8
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101776- (2024)
Forecasting fluid flow in subsurface resources such as groundwater, geothermal, and oil and gas is essential to maximize project economics and maximize resource recovery. We propose a novel workflow for a data-driven surrogate flow model for subsurfa
Externí odkaz:
https://doaj.org/article/b289826b48e342f194316250631c8a0c
Autor:
Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc A. Hesse, Michael J. Pyrcz, Maša Prodanović
Publikováno v:
SoftwareX, Vol 18, Iss , Pp 101097- (2022)
MPLBM-UT is a specialized lattice-Boltzmann library that makes running single- and two-phase flow simulations in porous media accessible to everyone. We provide a suite of tools to pre-process computational domains for simulation, to set up custom bo
Externí odkaz:
https://doaj.org/article/349abb453c3b408192a934661ec788fc
Autor:
Jesse R. Pisel, Michael J. Pyrcz
Publikováno v:
The Depositional Record, Vol 7, Iss 1, Pp 64-76 (2021)
Abstract Presented here is a transfer‐learning model for classifying basin‐scale stratigraphic geometries from subsurface formation tops. Support vector, decision trees, random forests, AdaBoost and K‐nearest neighbour classification models are
Externí odkaz:
https://doaj.org/article/2d9b9aa9f41445f5bb8e8b13ce0a4373
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107797- (2022)
Digital rock images are computational representations that capture the geometrical complexity of systems present ubiquitously in nature. In recent years, their use has become widespread due to the increasing availability of repositories, and open-sou
Externí odkaz:
https://doaj.org/article/353bf0e1a0cc4c2191279f4a37b877ae
Autor:
Michael J. Pyrcz, Clayton V. Deutsch
Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysi
Publikováno v:
GEOPHYSICS. 88:D159-D175
Well-log interpretation estimates in situ rock properties along well trajectory, such as porosity, water saturation, and permeability, to support reserve-volume estimation, production forecasts, and decision making in reservoir development. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0f28bf13c9c493d138e00ac3db49970
https://doi.org/10.1190/geo2022-0151.1
https://doi.org/10.1190/geo2022-0151.1
Publikováno v:
Computational Geosciences. 27:159-178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e295fb3ad1522e2f773124cdcf7174
https://doi.org/10.1007/s10596-022-10188-w
https://doi.org/10.1007/s10596-022-10188-w
Autor:
Michael J. Pyrcz
Publikováno v:
AAPG Bulletin. 106:2145-2148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8236f8d25e437a19aaaecd4c703116a
https://doi.org/10.1306/bltnintro071922
https://doi.org/10.1306/bltnintro071922
Publikováno v:
AAPG Bulletin. 106:2163-2186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e784b05cf58accb892e63e8dcf7c46eb
https://doi.org/10.1306/05162221022
https://doi.org/10.1306/05162221022