Flow patterns and pressure drop in oil–air–water three-phase flow through helically coiled tubes

1999 ◽  
Vol 25 (6-7) ◽  
pp. 1053-1072 ◽  
Author(s):  
Xuejun Chen ◽  
Liejin Guo
Keyword(s):  
Pressure Drop ◽  
Flow Patterns ◽  
Phase Flow ◽  
Three Phase ◽  
Three Phase Flow ◽  
Flow Through

Review on gas–liquid–liquid three–phase flow patterns, pressure drop, and liquid holdup in pipelines

2020 ◽  
Vol 159 ◽  
pp. 505-528
Author(s):  
Muhammad Waqas Yaqub ◽  
Ramasamy Marappagounder ◽  
Risza Rusli ◽  
Reddy Prasad D.M. ◽  
Rajashekhar Pendyala
Keyword(s):  
Pressure Drop ◽  
Flow Patterns ◽  
Phase Flow ◽  
Liquid Holdup ◽  
Three Phase ◽  
Three Phase Flow

scholarly journals An Investigation into Air-Sand-Water Three-Phase Flow through the Sandblasting Nozzle

2013 ◽  
Vol 5 (3) ◽  
pp. 207-222 ◽  
Author(s):  
M. Abbasalizadeh ◽  
I. Mirzaee ◽  
A. Shirvani ◽  
H. Mebrahtu ◽  
H. Shirvani
Keyword(s):  
Phase Flow ◽  
Three Phase ◽  
Three Phase Flow ◽  
Flow Through

Barothermal effect in three-phase flow through a porous medium with phase transitions

1994 ◽  
Vol 29 (6) ◽  
pp. 834-837
Author(s):  
R. A. Valiullin ◽  
A. Sh. Ramazanov ◽  
R. F. Sharafutdinov
Keyword(s):  
Porous Medium ◽  
Phase Transitions ◽  
Phase Flow ◽  
Three Phase ◽  
Three Phase Flow ◽  
Flow Through

VISIBILITY GRAPHS FROM EXPERIMENTAL THREE-PHASE FLOW FOR CHARACTERIZING DYNAMIC FLOW BEHAVIOR

2012 ◽  
Vol 23 (10) ◽  
pp. 1250069 ◽  
Author(s):  
ZHONG-KE GAO ◽  
MENG DU ◽  
LI-DAN HU ◽  
TING-TING ZHOU ◽  
NING-DE JIN
Keyword(s):  
Flow Behavior ◽  
Flow Patterns ◽  
Point Of View ◽  
Phase Flow ◽  
Dynamic Behaviors ◽  
Visibility Graphs ◽  
Three Phase ◽  
Three Phase Flow ◽  
Oil Gas ◽  
Flow Experiments

We systematically carried out oil–gas–water three-phase flow experiments for measuring the time series of flow signals. We first investigate flow pattern behaviors from the energy and frequency point of view and find that different flow patterns exhibit different flow behaviors. In order to quantitatively characterize dynamic behaviors underlying different oil–gas–water three-phase flow patterns, we infer and analyze visibility graphs (complex networks) from signals measured under different flow conditions. The results indicate that the combination parameters of network degree are sensitive to the transition among different flow patterns, which can be used to distinguish different flow patterns and quantitatively characterize nonlinear dynamics of the three-phase flow. In this regard, visibility graph can be a useful tool for characterizing the nonlinear dynamic behaviors underlying different oil–gas–water three-phase flow patterns.

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