scholarly journals 419 Effect of Liquid Viscosity on Wave and Droplet Inception in Gas-Liquid Two-Phase Flow

2000 ◽  
Vol 005.2 (0) ◽  
pp. 133-134
Author(s):  
Koji MORI ◽  
Kuniaki NAKANO ◽  
Naoshi HASEGAWA ◽  
Toru HONJO
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Two Phase

Empirical Correlations for Prediction Slug Liquid Holdup on Slug-Pseudo-Slug and Slug-Churn Transitions in Vertical and Inclined Two-Phase Flow

2021 ◽  
pp. 1-13
Author(s):  
Ghassan H. Abdul-Majeed ◽  
Abderraouf Arabi ◽  
Gabriel Soto-Cortes
Keyword(s):  
Two Phase Flow ◽  
Liquid Velocity ◽  
Superior Performance ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Empirical Correlations ◽  
Liquid Holdup ◽  
Two Phase ◽  
Experimental Database ◽  
Transition Models

Summary Most of the existing slug (SL) to churn (CH) or SL to pseudo-slug (PS) transition models (empirical and mechanistic) account for the effect of the SL liquid holdup (HLS). For simplicity, some of these models assume a constant value of HLS in SL/CH and SL/PS flow transitions, leading to a straightforward solution. Other models correlate HLS with different flow variables, resulting in an iterative solution for predicting these transitions. Using an experimental database collected from the open literature, two empirical correlations for prediction HLS at the SL/PS and SL/CH transitions (HLST) are proposed in this study. This database is composed of 1,029 data points collected in vertical, inclined, and horizontal configurations. The first correlation is developed for medium to high liquid viscosity two-phase flow (μL > 0.01 Pa·s), whereas the second one is developed for low liquid viscosity flow (μL ≤ 0.01 Pa·s). Both correlations are shown to be a function of superficial liquid velocity (VSL), liquid viscosity (μL), and pipe inclination angle (θ). The proposed correlations in a combination with the HLS model of Abdul-Majeed and Al-Mashat (2019) have been used to predict SL/PS and SL/CH transitions, and very satisfactory results were obtained. Furthermore, the SL/CH model of Brauner and Barnea (1986) is modified by using the proposed HLST correlations, instead of using a constant value. The modification results in a significant improvement in the prediction of SL/CH and SL/PS transitions and fixes the incorrect decrease of superficial gas velocity (VSG) with increasing VSL. The modified model follows the expected increase of VSG for high VSL, shown by the published observations. The proposed combinations are compared with the existing transition models and show superior performance among all models when tested against 357 measured data from independent studies.

Effects of liquid viscosity on inception of disturbance waves and droplets in gas–liquid annular two-phase flow

2007 ◽  
Vol 36 (8) ◽  
pp. 529-541 ◽  
Author(s):  
Koji Mori ◽  
Haruyuki Yoshida ◽  
Kuniaki Nakano ◽  
Yoichi Shiomi
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Two Phase ◽  
Disturbance Waves

High-Viscosity Liquid/Gas Flow Pattern Transitions in Upward Vertical Pipe Flow

SPE Journal ◽  
2020 ◽  
Vol 25 (03) ◽  
pp. 1155-1173
Author(s):  
Eissa Al-Safran ◽  
Mohammad Ghasemi ◽  
Feras Al-Ruhaimani
Keyword(s):  
Flow Pattern ◽  
Two Phase Flow ◽  
Bubble Diameter ◽  
High Viscosity ◽  
Transition Model ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Two Phase ◽  
Flow Pattern Transition ◽  
Transition Models

Summary High-viscosity liquid two-phase upward vertical flow in wells and risers presents a new challenge for predicting pressure gradient and liquid holdup due to the poor understanding and prediction of flow pattern. The objective of this study is to investigate the effect of liquid viscosity on two-phase flow pattern in vertical pipe flow. Further objective is to develop new/improve existing mechanistic flow-pattern transition models for high-viscosity liquid two-phase-flow vertical pipes. High-viscosity liquid flow pattern two-phase flow data were collected from open literature, against which existing flow-pattern transition models were evaluated to identify discrepancies and potential improvements. The evaluation revealed that existing flow transition models do not capture the effect of liquid viscosity, resulting in poor prediction. Therefore, two bubble flow (BL)/dispersed bubble flow (DB) pattern transitions are proposed in this study for two different ranges of liquid viscosity. The first proposed transition model modifies Brodkey's critical bubble diameter (Brodkey 1967) by including liquid viscosity, which is applicable for liquid viscosity up to 100 mPa·s. The second model, which is applicable for liquid viscosities above 100 mPa·s, proposes a new critical bubble diameter on the basis of Galileo's dimensionless number. Furthermore, the existing bubbly/intermittent flow (INT) transition model on the basis of a critical gas void fraction of 0.25 (Taitel et al. 1980) is modified to account for liquid viscosity. For the INT/annular flow (AN) transition, the Wallis transition model (Wallis 1969) was evaluated and found to be able to predict the high-viscosity liquid flow pattern data more accurately than the existing models. A validation study of the proposed transition models against the entire high-viscosity liquid experimental data set revealed a significant improvement with an average error of 22.6%. Specifically, the model over-performed existing models in BL/INT and INT/AN pattern transitions.

The Effects of Liquid Viscosity on the flow phenomena of Gas-Liquid Two-Phase Flow in a Microchannel

2016 ◽  
Vol 2016 (0) ◽  
pp. J0540103
Author(s):  
Suguru HIGASHIKAWA ◽  
Takeshi OTAKA ◽  
Ryo KUROSHIMA ◽  
Eiji KINOSHITA ◽  
Hideo IDE
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Two Phase ◽  
Flow Phenomena

The effects of channel diameter and liquid viscosity on the gas-liquid two-phase flow in microchannels

2018 ◽  
Vol 2018.71 (0) ◽  
pp. A31
Author(s):  
Takanori SHIMMURA ◽  
Syuuhei SHIGA ◽  
Takeshi OTAKA ◽  
Eiji KINOSHITA ◽  
Hideo IDE
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Liquid Viscosity ◽  
Two Phase ◽  
Channel Diameter
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