Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Daxing Wang"'
Microscopic pore structure characteristics of Shanxi Formation coal reservoir in Daning-Jixian Block
Publikováno v:
Meikuang Anquan, Vol 55, Iss 8, Pp 31-42 (2024)
Accurate description of micro and nano pores in coal reservoir plays an important role in evaluating the reservoir and gas production capacity of coalbed methane, we used 6 continuous samples of high rank coal in Daning-Jixian area on the eastern mar
Externí odkaz:
https://doaj.org/article/7ff377cf0fe648cfbcf51ac55cc8ea29
Publikováno v:
地质科技通报, Vol 43, Iss 4, Pp 98-112 (2024)
Objective To explore the enrichment conditions and main controlling factors of shale gas in the Lower Wuerhe Formation of the Permian System in the Junggar Basin, the Lower Wuerhe Formation in the Dongdaohaizi Sag was selected as the research object.
Externí odkaz:
https://doaj.org/article/003786495f5d4531bcfc6280d927d0b5
Autor:
Yongmin Gao, Bing Kang, Hui Xiao, Zongyao Wang, Guili Ding, Zhihao Xu, Chuan Liu, Daxing Wang, Yutong Li
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
With the increasing demand for reliable power supply and the widespread integration of distributed energy sources, the topology of distribution networks is subject to frequent changes. Consequently, the dynamic alterations in the connection relations
Externí odkaz:
https://doaj.org/article/2f8052ef60ef409a8c679e0968ae8853
Autor:
Daxing Wang, Leying Xu
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 67, Iss No 3, Pp 425-430 (2021)
Compared with traditional cellular networks, wireless ad hoc networks do not have trusted entities such as routers, since every node in the network is expected to participate in the routing function. Therefore, routing protocols need to be specifical
Externí odkaz:
https://doaj.org/article/f1392ce1ef8743adbf25dcb7508cd639
Publikováno v:
Petroleum Exploration and Development, Vol 44, Iss 4, Pp 544-551 (2017)
Based on the rock physical analysis of tight gas reservoirs in He8 Member of Permian Lower Shihezi Formation of Ordos Basin, and considering that bulk modulus is sensitive to pore fluid, this study proposes a fluid property detection method by compre
Externí odkaz:
https://doaj.org/article/2806567e717f4947b7a4fdd3feccb7ce
Publikováno v:
Petroleum Exploration and Development, Vol 44, Iss 2, Pp 265-273 (2017)
To find out the seismic wave field propagation principles in loess plateau near surface of the Ordos Basin and the seismic response characteristics of tight oil reservoirs, this study established a geological-geophysical model under the real conditio
Externí odkaz:
https://doaj.org/article/3a15eecf4dde4a7e9bba5a68d8724114
Autor:
Daxing Wang
Publikováno v:
Journal of Engineering Science and Technology Review, Vol 8, Iss 2, Pp 152-156 (2014)
Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cryptographic secret-key using a public channel. Neural cryptography is
Externí odkaz:
https://doaj.org/article/65c2e5a40b5e480b9bd38fb16d2342af
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0155416 (2016)
To effectively and efficiently reduce the morbidity and mortality that may be caused by outbreaks of emerging infectious diseases, it is very important for public health agencies to make informed decisions for controlling the spread of the disease. S
Externí odkaz:
https://doaj.org/article/1838eb41c3ca497eaa9c7f8a7e917bee
Publikováno v:
Energies, Vol 11, Iss 9, p 2242 (2018)
Pore structure determines the ability of fluid storage and migration in rocks, expressed as porosity and permeability in the macroscopic aspects, and the pore throat radius in the microcosmic aspects. However, complex pore structure and strong hetero
Externí odkaz:
https://doaj.org/article/bbd7416a6fc74d2aa74954417b1389e5
Publikováno v:
IEEE Transactions on Cybernetics. 52:6518-6530
As an effective method for clustering applications, the clustering ensemble algorithm integrates different clustering solutions into a final one, thus improving the clustering efficiency. The key to designing the clustering ensemble algorithm is to i