Experimental study on gas-liquid-liquid three-phase flow patterns and the resultant pressure drop in a horizontal pipe upstream of the 90° bend

2020 ◽  
Vol 226 ◽  
pp. 115848
Author(s):  
Muhammad Waqas Yaqub ◽  
Risza Rusli ◽  
Rajashekhar Pendyala
Keyword(s):  
Experimental Study ◽  
Pressure Drop ◽  
Flow Patterns ◽  
Phase Flow ◽  
Horizontal Pipe ◽  
Three Phase ◽  
Three Phase Flow

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 Experimental study of horizontal two- and three-phase flow characteristics at low to medium liquid loading conditions

2019 ◽  
Vol 55 (10) ◽  
pp. 2809-2830 ◽  
Author(s):  
Joseph Xavier Francisco Ribeiro ◽  
Ruiquan Liao ◽  
Aliyu Musa Aliyu ◽  
Wei Luo ◽  
Zilong Liu
Keyword(s):  
Experimental Study ◽  
Flow Characteristics ◽  
Phase Flow ◽  
Loading Conditions ◽  
Liquid Loading ◽  
Three Phase ◽  
Three Phase Flow

scholarly journals Experimental study on gas-liquid-coal fines three-phase flow in undulating pipeline

2018 ◽  
pp. 162-162
Author(s):  
Shuolong Wang ◽  
Xiaodong Wu ◽  
Guoqing Han ◽  
Ziyao Zhong ◽  
Zebin Ren ◽  
...  
Keyword(s):  
Experimental Study ◽  
Phase Flow ◽  
Three Phase ◽  
Three Phase Flow ◽  
Coal Fines

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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