Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Jianfa HAN"'
Autor:
Lixin Chen, Zhenxue Jiang, Chong Sun, Bingshan Ma, Zhou Su, Xiaoguo Wan, Jianfa Han, Guanghui Wu
Publikováno v:
Energies, Vol 16, Iss 15, p 5586 (2023)
The largest marine carbonate oilfield and gas condensate field in China have been found in the Ordovician limestones in the central Tarim Basin. They are defined as large “layered” reef-shoal and karstic reservoirs. However, low and/or unstable o
Externí odkaz:
https://doaj.org/article/f1ad70e3fd394f62a939d75861d6ac09
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 3, Pp 595-607 (2021)
Through fault structure analysis and chronology study, we discuss the origin and growth mechanisms of strike-slip faults in the Tarim Basin. (1) Multiple stages strike-slip faults with inherited growth were developed in the central Tarim cratonic bas
Externí odkaz:
https://doaj.org/article/e67718a5d8364e6d82172c0ed718a7d2
Publikováno v:
Energies, Vol 16, Iss 6, p 2575 (2023)
The largest carbonate condensate field in China has been found in the central Tarim Basin. Ordovician carbonate reservoirs are generally attributed to reef-shoal microfacies along a platform margin. However, recent production success has been achieve
Externí odkaz:
https://doaj.org/article/38595d15b7974e05992b161d275ccfa0
Autor:
Tongwen JIANG, Jianfa HAN, Guanghui WU, Hongfeng YU, Zhou SU, Chang XIONG, Jun CHEN, Huifang ZHANG
Publikováno v:
Petroleum Exploration and Development, Vol 47, Iss 2, Pp 229-241 (2020)
Based on three-dimensional seismic interpretation, structural and sedimentary feature analysis, and examination of fluid properties and production dynamics, the regularity and main controlling factors of hydrocarbon accumulation in the Tazhong uplift
Externí odkaz:
https://doaj.org/article/77627d2c530742838b3e55c5345173ad
Autor:
Yunqi Jiang, Huaqing Zhang, Kai Zhang, Jian Wang, Jianfa Han, Shiti Cui, Liming Zhang, Hanjun Zhao, Piyang Liu, Honglin Song
Publikováno v:
Water, Vol 15, Iss 2, p 218 (2023)
Waterflooding reservoir interwell connectivity characterization is the fundamental work in oil development, aiming to inverse the vital connecting channels between injectors and producers. In this paper, we endow an artificial neural network (ANN) wi
Externí odkaz:
https://doaj.org/article/1e08abb6b68844e29f4ae91a464eb7f8
Autor:
Yunqi Jiang, Huaqing Zhang, Kai Zhang, Jian Wang, Shiti Cui, Jianfa Han, Liming Zhang, Jun Yao
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1614 (2022)
The reservoir characterization aims to provide the analysis and quantification of the injection-production relationship, which is the fundamental work for production management. The connectivity between injectors and producers is dominated by geologi
Externí odkaz:
https://doaj.org/article/8f2d782ef6f84f979a50da620b8c8b1f
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8871 (2021)
N2 huff-n-puff has proven to be a promising technique to further improve oil recovery in naturally fractured-cavity carbonate reservoirs. The effect of enhanced oil recovery (EOR) by N2 huff-n-puff is significantly affected by various dynamic and sta
Externí odkaz:
https://doaj.org/article/de7da075e1c2446ab30d2e8039193b94
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 3, Pp 595-607 (2021)
Through fault structure analysis and chronology study, we discuss the origin and growth mechanisms of strike-slip faults in the Tarim Basin. (1) Multiple stages strike-slip faults with inherited growth were developed in the central Tarim cratonic bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8403ccafe270f6cc7f3b3c3312d38da
https://doi.org/10.1016/s1876-3804(21)60048-4
https://doi.org/10.1016/s1876-3804(21)60048-4
Autor:
Huaqing Zhang, Chuanjin Yao, Kai Zhang, Haochen Wang, Jianfa Han, Liming Zhang, Jun Yao, Xiaopeng Ma, Yongfei Yang
Publikováno v:
SPE Journal. 26:1636-1651
SummaryReservoir connectivity analysis plays an essential role in controlling water cut in the middle and later stages of reservoir development. The traditional analysis methods, such as well test and tracer, may result in interruption and high reser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1595addade1883b132d6e2924041bc
https://doi.org/10.2118/205024-pa
https://doi.org/10.2118/205024-pa
Autor:
Xiaoming Xue, Kai Zhang, Jianfa Han, Faliang Yin, Jun Yao, Jian Wang, BingXuan Liu, Chengze Zhang
Publikováno v:
SPE Journal. 26:1614-1635
Summary Production optimization led by computing intelligence can greatly improve oilfield economic effectiveness. However, it is confronted with huge computational challenge because of the expensive black-box objective function and the high-dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0883cee70f4859b5a68f3719449cb987
https://doi.org/10.2118/205013-pa
https://doi.org/10.2118/205013-pa