scholarly journals A pore network model study of the fluid-fluid interfacial areas measured by dynamic-interface tracer depletion and miscible displacement water phase advective tracer methods

2012 ◽  
Vol 48 (10) ◽  
Author(s):  
Tohren C. G. Kibbey ◽  
Lixia Chen
Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4580
Author(s):  
Yongchao Wang ◽  
Yanqing Xia ◽  
Zihui Feng ◽  
Hongmei Shao ◽  
Junli Qiu ◽  
...  

Pore network modeling based on digital rock is employed to evaluate the mobility of shale oil in Qingshankou Formation, Songliao Basin, China. Computerized tomography technology is adopted in this work to reconstruct the digital rock of shale core. The pore network model is generated based on the computerized tomography data. We simulate the dynamics of fluid flow in a pore network model to evaluate the mobility of fluid in shale formation. The results show that the relative permeability of oil phase increases slowly in the initial stage of the displacement process, which is mainly caused by the poor continuity of the oil phase. In the later stages, with the increase in the oil phase continuity, the range of relative permeability increases. With the increase of organic matter content, the permeability of the water phase remains unchanged at low water saturation, but gradually increases at high water saturation. At the same time, it can be seen that, with the increase in organic matter content, the isosmotic point of the oil–water phase permeability shifts to the left, indicating that the wettability to water phase gradually weakens.


2021 ◽  
Vol 312 ◽  
pp. 125298
Author(s):  
Saeid Babaei ◽  
Suresh C. Seetharam ◽  
Arnaud Dizier ◽  
Gunther Steenackers ◽  
Bart Craeye

2021 ◽  
Author(s):  
Tomáš Princ ◽  
Michal Snehota

<p>The research focused on the simulation of the previous experiment described by Princ et al. (2020). The relationship between entrapped air content (<em>ω</em>) and the corresponding satiated hydraulic conductivity (<em>K</em>) was investigated for two coarse sands, in the experiment. Additionally the amount and distribution of air bubbles were quantified by X-ray computed tomography.</p><p>The pore-network model based on OpenPNM platform (Gostick et al. 2016) was used to attempt simulation of a redistribution of the air bubbles after infiltration. Satiated hydraulic conductivity was determined to obtain the <em>K</em>(<em>ω</em>) relationship. The results from pore-network model were compared with the results from experiments.</p><p>Gostick et al. (2016). Computing in Science & Engineering. 18(4), p60-74.</p><p>Princ et al. (2020). Water. 12(2), p1-19.</p>


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