Výsledky vyhledávání

Akademický článek

Deeply buried clastic rock diagenesis evolution mechanism of Dongdaohaizi sag in the center of Junggar fault basin, Northwest China

Autor: Guo Shasha, Zhang Xuecai, Wang Jue, Wang Siwen, Liu Kemin, Wang Jinkai

Publikováno v: Open Geosciences, Vol 16, Iss 1, Pp 43-59 (2024)

To reveal the diagenetic sequence of reservoir rocks in the central part of the deep depression basin, the Wuerhe Formation in Junggar Basin was taken as an example to conduct the detailed studies on its sedimentary facies, diagenetic sequence, and t

Externí odkaz: https://doaj.org/article/fdbf63e19d2645f6b1c83283705d0707

Zobrazit plný text záznamu

Akademický článek

Analysis of the Factors that Influence Diagenesis in the Terminal Fan Reservoir of Fuyu Oil Layer in the Southern Songliao Basin, Northeast China

Autor: Wang Jinkai, Jinliang Zhang, Xie Jun

Publikováno v: Open Geosciences, Vol 10, Iss 1, Pp 866-881 (2018)

The diagenesis mechanism and the physical properties of a terminal fan reservoir are determined by nuclear magnetic resonance (NMR), X-ray diffraction and scanning electron microscopy. The main provenance directions are NE and SE, and the two opposit

Externí odkaz: https://doaj.org/article/4c6bf956efcb455e99de637718d9968c

Zobrazit plný text záznamu

Akademický článek

Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China

Autor: Zhang Penghui, Zhang Jinliang, Wang Jinkai, Li Ming, Liang Jie, Wu Yingli

Publikováno v: Open Geosciences, Vol 10, Iss 1, Pp 113-120 (2018)

Flow units classification can be used in reservoir characterization. In addition, characterizing the reservoir interval into flow units is an effective way to simulate the reservoir. Paraflow units (PFUs), the second level of flow units, are used to

Externí odkaz: https://doaj.org/article/f16c16d3c85f4003afedd971db69d5e0

Zobrazit plný text záznamu

Akademický článek

Relationship between well pattern density and variation function of stochastic modelling and database establishment

Autor: Wang Jinkai, Zhao Kai, Yan Zhaoxun, Fu Yuxiang, Xie Jun

Publikováno v: Oil & Gas Science and Technology, Vol 75, p 84 (2020)

For 3D geological modelling of oil and gas reservoirs, well pattern density is directly related to the number of samples involved in the calculation, which determines the variation function of stochastic modelling and has great impacts on the results

Externí odkaz: https://doaj.org/article/d6b0fc5e31b84bb1a575789c9de1dbb1

Zobrazit plný text záznamu