Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xin Shan Wei"'
Publikováno v:
Precambrian Research. 276:67-84
Using petrography, phase equilibria modeling and in situ (U–Th)–Pb monazite geochronology, we show that pelitic gneiss from close to the bottom of the Qitan1 borehole in the northwest of the Ordos Basin records a four stage metamorphic evolution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c63dcd681aa8b00c3f17d95145e91bc
https://doi.org/10.1016/j.precamres.2016.01.030
https://doi.org/10.1016/j.precamres.2016.01.030
Autor:
Jiao Zhao, Alfred Kröner, Chunrong Diwu, Hong-Bing Lin, Yong Sun, Xin-Shan Wei, Longlong Gou, Jinglan Luo, Qiu-Li Li, Chengli Zhang
Publikováno v:
Precambrian Research. 267:121-136
The Ordos Block has been considered as an Archean micro-block in North China Craton. However, its formation and evolution are poorly understood for a long time due to lack of available basement rocks. Our LA-ICPMS and SIMS zircon U–Pb dating of gne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fff5f7edd789dc0623ebd72b7c60dce
https://doi.org/10.1016/j.precamres.2015.06.001
https://doi.org/10.1016/j.precamres.2015.06.001
Publikováno v:
Petroleum Exploration and Development, Vol 35, Iss 6, Pp 664691-667 (2008)
Lithologic reservoirs are widely distributed at Upper Paleozoic of Yi-Shaan Slope in Ordos Basin. With over 40 years of exploration, six large gas fields were discovered, including Sulige, Wushenqi, Yulin, Daniudi, Zizhou, and Mizhi, with total prove
Externí odkaz:
https://doaj.org/article/d35738cb2a8e4c2283071242a274d954
Publikováno v:
Applied Mechanics and Materials. :2147-2152
In order to implement the recognition automation of rock section pore images, a method combined K-means clustering with probabilistic neural network is proposed and applied to rock thin section images. Firstly, K-means clustering is used as segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91cc3074dded285956b04e2649ef19bd
https://doi.org/10.4028/www.scientific.net/amm.602-605.2147
https://doi.org/10.4028/www.scientific.net/amm.602-605.2147
Publikováno v:
Applied Mechanics and Materials. :685-690
For the identification complexity of rock microstructure, based on numerical analysis of rock section images, an automatic rock texture classification method and identification system is proposed in this paper. Digital grey image processing of rock t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963f4809ad75649af45721db77511e57
https://doi.org/10.4028/www.scientific.net/amm.568-570.685
https://doi.org/10.4028/www.scientific.net/amm.568-570.685