Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Fuhua Shang"'
Publikováno v:
ACS Omega, Vol 9, Iss 33, Pp 35313-35322 (2024)
Externí odkaz:
https://doaj.org/article/1843c0d09d014613a796bd5ef6f8c01d
Autor:
Ke Miao, Fuhua Shang, Yuewen Zhu, Wentian Mi, Yanming Zhu, Taojie Dai, Haidong Li, Jing Yan, Yingying Ma
Publikováno v:
ACS Omega, Vol 9, Iss 22, Pp 23971-23983 (2024)
Externí odkaz:
https://doaj.org/article/fe3b381a857a402288f5e3cb636895c6
Publikováno v:
IEEE Access, Vol 8, Pp 143545-143557 (2020)
In recent years, action recognition has become a hot research topic in the computer vision and machine learning domain. Despite many well-designed action recognition approaches have been proposed, we point out that some limitations still exist includ
Externí odkaz:
https://doaj.org/article/6563881ea9d14234a9e8e952d9ceddec
Publikováno v:
Geofluids, Vol 2020 (2020)
Tectonism is one of the major controlling factors of shale gas accumulation and enrichment in China. To explore the relationship between tectonism and composition and pore characteristics of shale reservoirs, this research carried out mineralogy test
Externí odkaz:
https://doaj.org/article/e5dbb5f641ee481db089a2beb64fddd5
Publikováno v:
Earth Sciences Research Journal. Jun2021, Vol. 25 Issue 2, p255-262. 8p.
Autor:
Ruiyin Liu, Wen Zhou, Hao Xu, Qiumei Zhou, Ke Jiang, Fuhua Shang, Wenlu Gao, Weiguo Song, Dongxu Liu, Hongshuai Zhao, Xin Zhao
Publikováno v:
ACS Omega. 7:15821-15840
The characteristics, distribution, and preservation of pores are vital in controlling the storage and distribution of shale gas. The Qiongzhusi Formation shales taken from different members with similar tectonic and thermal evolutions were used to ev
Publikováno v:
Natural Resources Research. 31:929-951
Publikováno v:
Earth Sciences Research Journal. 25:255-262
In low permeability reservoirs, the conversion accuracy of the existing petroleum logging lithology identification method to small pore capillary pressure curve is not high, resulting in a low rock mass identification accuracy. Therefore, artificial
Publikováno v:
Gas Science and Engineering. 113:204962
Publikováno v:
IEEE Access, Vol 8, Pp 143545-143557 (2020)
In recent years, action recognition has become a hot research topic in the computer vision and machine learning domain. Despite many well-designed action recognition approaches have been proposed, we point out that some limitations still exist includ