scholarly journals Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media

2021 ◽  
Author(s):  
Helen Cleaves ◽  
Alen Alexanderian ◽  
Bilal Saad
Keyword(s):  
Multiphase Flow ◽  
Uncertainty Quantification ◽  
Heterogeneous Media ◽  
Flow Through

scholarly journals Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media

2019 ◽  
Vol 55 (1) ◽  
pp. 703-728 ◽  
Author(s):  
Shaoxing Mo ◽  
Yinhao Zhu ◽  
Nicholas Zabaras ◽  
Xiaoqing Shi ◽  
Jichun Wu
Keyword(s):  
Multiphase Flow ◽  
Uncertainty Quantification ◽  
Heterogeneous Media ◽  
Convolutional Encoder

A NEW RELATIVE PERMEABILITY MODEL OF UNSATURATED POROUS MEDIA BASED ON FRACTAL THEORY

Fractals ◽  
2020 ◽  
Vol 28 (01) ◽  
pp. 2050002
Author(s):  
KE CHEN ◽  
HE CHEN ◽  
PENG XU
Keyword(s):  
Experimental Data ◽  
Porous Media ◽  
Fractal Dimension ◽  
Multiphase Flow ◽  
Relative Permeability ◽  
Volume Fraction ◽  
Fractal Model ◽  
Accurate Estimation ◽  
Unsaturated Porous Media ◽  
Flow Through

The multiphase flow through unsaturated porous media and accurate estimation of relative permeability are significant for oil and gas reservoir, grounder water resource and chemical engineering, etc. A new fractal model is developed for the multiphase flow through unsaturated porous media, where multiscale pore structure is characterized by fractal scaling law and the trapped water in the pores is taken into account. And the analytical expression for relative permeability is derived accordingly. The relationships between the relative permeability and capillary head as well as saturation are determined. The proposed model is validated by comparison with 14 sets of experimental data, which indicates that the fractal model agrees well with experimental data. It has been found that the proposed fractal model shows evident advantages compared with BC-B model and VG-M model, especially for the porous media with fine content and texture. Further calculations show that water permeability decreases as the fractal dimension increases under fixed saturation because the cumulative volume fraction of small pores increases with the increment of the fractal dimension. The present fractal model for the relative permeability may be helpful to understand the multiphase flow through unsaturated porous media.

scholarly journals Dissipative particle dynamics simulation of multiphase flow through a mesoscopic channel

2013 ◽  
Vol 62 (6) ◽  
pp. 064705
Author(s):  
Liu Han-Tao ◽  
Liu Mou-Bin ◽  
Chang Jian-Zhong ◽  
Su Tie-Xiong
Keyword(s):  
Multiphase Flow ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Dynamics Simulation ◽  
Flow Through ◽  
Dissipative Particle Dynamics Simulation

Multiphase Flow Through Inlet Manifolds of HVAC Systems

2008 ◽  
Author(s):  
B. G. Shiva Prasad ◽  
Jacob A. Groshek
Keyword(s):  
Multiphase Flow ◽  
Minor Component ◽  
Hvac Systems ◽  
Flow Conditions ◽  
Oil Droplet ◽  
Oil Flow ◽  
Flow Through ◽  
Pipe Geometry ◽  
Upstream Flow ◽  
Oil Droplet Size

Inlet manifolds in HVAC systems are required to deliver specified amounts of refrigerant and oil to multiple compressors. However, multiphase flow through such manifolds is quite sensitive to upstream geometry and flow conditions. This paper reports a CFD investigation done to understand the sensitivity of oil flow (the minor component) in such manifolds with a T junction and 3 outlet pipes to the design of the inlet feed pipe geometry. The main objective was to understand the effect of upstream bends and settling length on the nature of flow through the outlets, particularly with reference to the delivery of the required amount of oil and refrigerant to each compressor. The results indicated that the refrigerant flow was not sensitive to upstream effects, while the oil flow was quite sensitive to distortions introduced in to the upstream flow field by lack of sufficient settling length and bends. It further showed that the sensitivity increased with oil droplet size.

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