Issue |
E3S Web Conf.
Volume 397, 2023
Mathematical Models and Methods of the Analysis and Optimal Synthesis of the Developing Pipeline and Hydraulic Systems 2022
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Article Number | 01002 | |
Number of page(s) | 13 | |
Section | Methods of Analysis of Pipeline Systems | |
DOI | https://doi.org/10.1051/e3sconf/202339701002 | |
Published online | 19 June 2023 |
Universal Gas-Liquid Flow Pattern Map and Its Use on Closure Relationship Selection
1 McDougall School of Petroleum Engineering, The University of Tulsa, Tulsa, OK 74104, United States
2 2Piping Systems Research & Engineering Co, 7 Plekhanova Street, Moscow, 111141, Russia
Mechanistic modelling is a common approach to predict design parameters such as flow pattern, pressure drop, or liquid holdup in gas-liquid flow in pipes. This approach starts with the application of continuity and momentum balance and required supplementary relationships to close the system of the equations. These additional equations are also called closure relationships which are developed with experimental results for given conditions. These relationships evolved with time as researchers acquired experimental data under different conditions. Unfortunately, new closures are developed for the new conditions rather than universal relationships that can cover a wider set of conditions. This situation generates the need for a methodology that allows the inclusion of newly develop closures to increase the accuracy of the unified mechanistic models. This paper starts with a description of all the available two-dimension maps that can facilitate the visualization of the data. This allows the determination of regions where a particular set of closures minimize the discrepancy between calculated and measured parameters. This paper proposes a simplification of a modern solution to provide a simpler way to visualize the regions corresponding to a set of equations. The final proposed solution reveals a substantial reduction of the average discrepancy of the unified mechanistic model by selecting the most appropriate closures.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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