Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Jeffrey D. Hyman"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 20, Pp n/a-n/a (2024)
Abstract The diverse range of patterns in porous media formed by dissolution processes depends on the relative magnitude of flow, transport, and chemical reactions at pore surfaces. However, distinguishing between regimes often relies solely on quali
Externí odkaz:
https://doaj.org/article/e9150c280ed34bf5a40c445e211acfc3
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:
Marco Dentz, Jeffrey D. Hyman
We study flow and hydrodynamic transport in spatially random fracture networks.The flow and transport behavior is characterized by first passagetimes and displacement statistics, which show heavy tailsand anomalous dispersion with a strong dependence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a39ab4c9bb86daf890525a1f00286cd6
https://doi.org/10.5194/egusphere-egu23-10078
https://doi.org/10.5194/egusphere-egu23-10078
Autor:
Jeffrey D. Hyman, Wenfeng Li, Meng Meng, Luke P. Frash, Anne H. Menefee, Nathan J. Welch, Wes Hicks, J. William Carey
Publikováno v:
Transport in Porous Media. 141:17-47
Fluid flow in fractures has the potential to drastically change the economic, environmental, and safety risks associated with a subsurface operation. This work focuses on the analysis of experimental shear fracturing and subsequent shear displacement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0275ccf9a39380c440e85a97c0afa4fa
https://doi.org/10.1007/s11242-021-01708-w
https://doi.org/10.1007/s11242-021-01708-w
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Autor:
Daniel O'Malley, Timothy R. Carr, Luke P. Frash, Jeffrey D. Hyman, Satish Karra, George D. Guthrie, Maruti Kumar Mudunuru, Matthew Sweeney, J. William Carey, Michael R. Gross, Shriram Srinivasan, Hari S. Viswanathan, Liwei Li
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports
Scientific Reports
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 unconven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3da30a441727cf25ad51d1b0ed97f9d
https://doaj.org/article/19a3100ba9fc42afae2d745226851b22
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:
Satish Karra, Jeffrey D. Hyman, Carl W. Gable, Ilya Safro, Matthew Sweeney, Hayato Ushijima-Mwesigwa, Aric Hagberg, Gowri Srinivasan
Publikováno v:
Mathematical Geosciences. 53:1699-1724
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that takes advantage of the intrinsic multi-level nature of a DFN. DFN models are used to simulate flow and transport through lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd3482450d9d4ea824d943bdc7891adf
https://doi.org/10.1007/s11004-021-09944-y
https://doi.org/10.1007/s11004-021-09944-y