Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matthew R. Sweeney"'
Autor:
Jeffrey D. Hyman, Alexis Navarre‐Sitchler, Matthew R. Sweeney, Aleksandra Pachalieva, James W. Carey, Hari S. Viswanathan
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 7, Pp n/a-n/a (2024)
Abstract We perform a set of reactive transport simulations in three‐dimensional fracture networks to characterize the impact of geochemical reactions on flow channelization. Flow channelization, a frequently observed phenomenon in porous and fract
Externí odkaz:
https://doaj.org/article/a1d43f34bdd14fccbafe96128117c1d8
Autor:
Aidan Stansberry, Matthew R. Sweeney, Jeffrey D. Hyman, Justin Strait, Zhou Lei, Hari S. Viswanathan, Philip H. Stauffer
Publikováno v:
Geotechnics, Vol 4, Iss 1, Pp 180-193 (2024)
Simulations of rock damage and gas transport following underground explosions that omit preexisting fracture networks in the subsurface cannot fully characterize the influence of geo-structural variability on gas transport. Previous studies do not co
Externí odkaz:
https://doaj.org/article/72064bcd72454a2d9310f50785a0aa16
Autor:
Matthew R. Sweeney, Jeffrey D. Hyman, Daniel O’Malley, Javier E. Santos, J. William Carey, Philip H. Stauffer, Hari S. Viswanathan
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract We model flow and transport in fracture networks with varying degrees of fracture‐to‐fracture aperture heterogeneity and network intensity to show how changes in these properties can cause the emergence of anomalous flow and transport be
Externí odkaz:
https://doaj.org/article/f2f922b7f0384385b1fba353180bd7c0
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Autor:
Shriram Srinivasan, Daniel O’Malley, Maruti K. Mudunuru, Matthew R. Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George D. Guthrie, Timothy Carr, Liwei Li, Hari S. Viswanathan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the challenges to real-time reservoir management in
Externí odkaz:
https://doaj.org/article/19a3100ba9fc42afae2d745226851b22
Autor:
Jeffrey D. Hyman, Alexis Navarre‐Sitchler, Elizabeth Andrews, Matthew R. Sweeney, Satish Karra, J. William Carey, Hari S. Viswanathan
Publikováno v:
Geophysical Research Letters. 49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cf79b731791d16ecbe4e73f6b20dcc5
https://doi.org/10.1029/2022gl099513
https://doi.org/10.1029/2022gl099513
Autor:
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatsky, Konstantin Lipnikov, J. David Moulton
We present a comprehensive workflow to simulate single-phase flow and transport in fractured porous media using the discrete fracture matrix approach. The workflow has three primary parts: (1) a method for conforming mesh generation of and around a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebf7eabd1ba9ae950e6947c9c4e3e9ae
