Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Joseph Leines-Artieda"'
Autor:
Pengyu Chen, Mauricio Fiallos-Torres, Yuzhong Xing, Wei Yu, Chunqiu Guo, Joseph Leines-Artieda, Muwei Cheng, Hongbing Xie, Haidong Shi, Zhenyu Mao, Jijun Miao, Kamy Sepehrnoori
Publikováno v:
Energies, Vol 13, Iss 16, p 4235 (2020)
In this study, the non-intrusive embedded discrete fracture model (EDFM) in combination with the Oda method are employed to characterize natural fracture networks fast and accurately, by identifying the dominant water flow paths through spatial conne
Externí odkaz:
https://doaj.org/article/ea04f9bc50a4487c9445b08d679c0e61
Autor:
Wei Yu, Harun Ates, Anuj Gupta, Shuang Zheng, Chuxi Liu, Kan Wu, Joseph Leines-Artieda, Jijun Miao, Kamy Sepehrnoori
Publikováno v:
Day 1 Sun, February 19, 2023.
This study presents a new workflow by integrating a robust 3D hydraulic fracture propagation model in conjunction with reservoir simulation through the embedded discrete fracture model (EDFM). Specifically, the hydraulic fracture model is applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53bf7ab4e5fa3f93e5ca2d5407dddf8f
https://doi.org/10.2118/213209-ms
https://doi.org/10.2118/213209-ms
Autor:
Wei Yu, Joseph Leines-Artieda, Jianfa Wu, Chuxi Liu, Cheng Chang, Hongzhi Yang, Kamy Sepehrnoori
Publikováno v:
Day 1 Tue, September 21, 2021.
Reliable estimates of hydraulic fracture geometry help reduce the uncertainty associated with estimated ultimate recovery (EUR) forecasts and optimize field developing planning in unconventional reservoirs. For these reasons, operators gather informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a93ba7fbd09eea27b5120ca5272c236
https://doi.org/10.2118/205936-ms
https://doi.org/10.2118/205936-ms
Publikováno v:
Proceedings of the 9th Unconventional Resources Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57e929ecfe1e6f5a45080f103d62d6cb
https://doi.org/10.15530/urtec-2021-5526
https://doi.org/10.15530/urtec-2021-5526
Autor:
Yuzhong Xing, Kamy Sepehrnoori, Jijun Miao, Pengyu Chen, Haidong Shi, Wei Yu, Hongbing Xie, Zhenyu Mao, Mauricio Fiallos-Torres, Joseph Leines-Artieda, Muwei Cheng, Chunqiu Guo
Publikováno v:
Energies, Vol 13, Iss 4235, p 4235 (2020)
Energies; Volume 13; Issue 16; Pages: 4235
Energies; Volume 13; Issue 16; Pages: 4235
In this study, the non-intrusive embedded discrete fracture model (EDFM) in combination with the Oda method are employed to characterize natural fracture networks fast and accurately, by identifying the dominant water flow paths through spatial conne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e248018f31b354b249363c3704cca610
https://doi.org/10.22541/au.159415569.96137778
https://doi.org/10.22541/au.159415569.96137778
