Flooding mechanism of biolithite based on progressive ion exchange model: an example of the Wangxuzhuang biolithite reservoir in the Dagang oilfield

Flooding mechanism of biolithite based on progressive ion exchange model: an example of the Wangxuzhuang biolithite reservoir in the Dagang oilfield
复制标题

基于渐进离子交换模型的生物驱油机理——以大港油田王须庄生物岩油藏为例

DOI:
10.1093/jge/gxab020
复制
发表时间:
2021-06
影响因子:
1.4
通讯作者:
Weichao Yan
Weichao Yan
中科院分区:
地球科学4区
文献类型:
--
作者:
Jianmeng Sun;Xindi Lv;Jie Zong;Shuiping Ma;Yong Wu;Xiaodi Huang;Ming Chi;Xueyin Feng;Weichao Yan

文献摘要

参考文献

相似文献

The biolithite reservoir has a strong heterogeneity and complex pore structure, and the changing trend of formation resistivity is complicated during the waterflood development process. In the logging interpretation of a water-flooded layer, mixed-formation water resistivity is a critical parameter and its accurate calculation heavily influences the evaluation of logging water saturation. The commonly used mixed liquid resistivity models have not taken into account the contribution of irreducible clay water and, thus, they are not suitable for biolithite reservoirs with high shale contents. In this paper, a new 3D digital core was constructed based on CT scanning, and a progressive ion exchange model of the mixed-formation water compatible with the biolithite reservoir put forward. Compared with experimental data from core water flooding, the progressive ion exchange model conforms to the resistivity change law of biolithite reservoirs. Through numerical simulation and analysis of the resistivity of biolithite reservoir, it is concluded that the salinity of injected water and the formation water saturation are the main factors affecting the resistivity characteristics of water-flooded layer. In terms of the interpretation of the water-flooded layer, the water saturation was calculated using the progressive ion exchange model through finite element modelling of formation resistivity. The particular mechanism of water flooding and changing law of rock electrical properties during reservoir water injection development are presented, which provide a new reliable basis for optimization of the biolithite reservoir development plan.
DOI: --
发表时间: 2004
期刊: Journal of Jianghan Petroleum Institute
影响因子: --
作者:
Chen Bo;Zhao Hai-tao
通讯作者: Chen Bo;Zhao Hai-tao
DOI: 10.1007/s11242-019-01336-5
发表时间: 2019-09
影响因子: 2.7
作者:
Takashi Akai;A. Alhammadi;M. Blunt;B. Bijeljic
通讯作者: Takashi Akai;A. Alhammadi;M. Blunt;B. Bijeljic
DOI: --
发表时间: 2002
影响因子: 7.5
作者:
W. Wen
通讯作者: W. Wen
DOI: 10.1190/geo2019-0169.1
发表时间: 2020
期刊: Geophysics
影响因子: 3.3
作者:
Y. Rao;Yanghua Wang
通讯作者: Y. Rao;Yanghua Wang
DOI: 10.1016/j.advwatres.2015.06.010
发表时间: 2016-09-01
影响因子: 4.7
作者:
Kelly, Shaina;El-Sobky, Hesham;Balhoff, Matthew T.
通讯作者: Balhoff, Matthew T.