A methodology and database to quantify the confidence level of methods for gas-liquid two-phase flow pattern prediction

被引：22

作者：

Pereyra, E. ^{[1
]}

Torres, C. ^{[2
]}

Mohan, R. ^{[3
]}

Gomez, L. ^{[1
]}

Kouba, G. ^{[4
]}

Shoham, O. ^{[1
]}

机构：

[1] Univ Tulsa, McDougall Sch Petr Engn, Tulsa, OK 74104 USA

[2] Univ Los Andes, Thermal Sci Dept, Merida 5101, Venezuela

[3] Univ Tulsa, Dept Mech Engn, Tulsa, OK 74104 USA

[4] Chevron Energy Technol Co, Houston, TX 77002 USA

来源：

CHEMICAL ENGINEERING RESEARCH & DESIGN | 2012年 / 90卷 / 04期

关键词：

Flow pattern; Two phase flow; Mechanistic modeling; Confidence level; TRANSITIONS; MODEL;

D O I：

10.1016/j.cherd.2011.08.009

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A novel methodology is presented to quantify the confidence level in the prediction of gas-liquid two-phase flow patterns in pipes. An experimental flow pattern data base has been collected, consisting of 12 studies (a total of 9029 data points). The experimental data are compared with the predictions of the unified Barnea (1987) model (any other model/method can be used), and the confidence level in the predictions is quantified. Also, gaps in the data base are identified and future studies required in this are discussed. (C) 2011 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

引用

页码：507 / 513

页数：7

共 17 条

[1] Experimental and modeling studies for gas-liquid two-phase flow at high pressure conditions [J].