Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Lake Larry W."'
Autor:
Roustazadeh, Alireza, Ghanbarian, Behzad, Male, Frank, Shadmand, Mohammad B., Taslimitehrani, Vahid, Lake, Larry W.
In petroleum engineering, it is essential to determine the ultimate recovery factor, RF, particularly before exploitation and exploration. However, accurately estimating requires data that is not necessarily available or measured at early stages of r
Externí odkaz:
http://arxiv.org/abs/2210.16345
Autor:
Roustazadeh, Alireza, Ghanbarian, Behzad, Shadmand, Mohammad B., Taslimitehrani, Vahid, Lake, Larry W.
Publikováno v:
Engineering Applications of Artificial Intelligence Volume 128, February 2024, 107500
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizations. A key reservoir property is hydrocarbon recovery factor (RF) whos
Externí odkaz:
http://arxiv.org/abs/2210.12491
Publikováno v:
In Geoenergy Science and Engineering May 2024 236
Autor:
Roustazadeh, Alireza, Ghanbarian, Behzad, Shadmand, Mohammad B., Taslimitehrani, Vahid, Lake, Larry W.
Publikováno v:
In Engineering Applications of Artificial Intelligence February 2024 128
Publikováno v:
In Unconventional Resources 2024 4
Publikováno v:
In Geoenergy Science and Engineering August 2023 227
Publikováno v:
In Geoenergy Science and Engineering August 2023 227
Publikováno v:
In Marine and Petroleum Geology March 2023 149
Publikováno v:
Journal of Petroleum Science and Engineering, 2019, 173:1163-1172
Upscaling Klinkenberg-corrected gas permeability, k, in unconventional tight sandstones has numerous practical applications, particularly in gas exploration and production. In this study, we adapt the effective-medium approximation (EMA) model of Doy
Externí odkaz:
http://arxiv.org/abs/1809.06722