Low-Dimensional Modeling of Transient Two-Phase Flow in Pipelines

Amine Meziou, Majdi Chaari, Matthew Franchek, Rafik Borji, Karolos Grigoriadis, Reza Tafreshi

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Presented are reduced-order models of one-dimensional transient two-phase gas-liquid flow in pipelines. The proposed model is comprised of a steady-state multiphase flow mechanistic model in series with a transient single-phase flow model in transmission lines. The steady-state model used in our formulation is a multiphase flow mechanistic model. This model captures the steady-state pressure drop and liquid holdup estimation for all pipe inclinations. Our implementation of this model will be validated against the Stanford University multiphase flow database. The transient portion of our model is based on a transmission line modal model. The model parameters are realized by developing equivalent fluid properties that are a function of the steady-state pressure gradient and liquid holdup identified through the mechanistic model. The model ability to reproduce the dynamics of multiphase flow in pipes is evaluated upon comparison to olga, a commercial multiphase flow dynamic code, using different gas volume fractions (GVF). The two models show a good agreement of the steady-state response and the frequency of oscillation indicating a similar estimation of the transmission line natural frequency. However, they present a discrepancy in the overshoot values and the settling time due to a difference in the calculated damping ratio. The utility of the developed low-dimensional model is the reduced computational burden of estimating transient multiphase flow in transmission lines, thereby enabling real-time estimation of pressure and flow rate.

Original languageEnglish
Article number101008
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume138
Issue number10
DOIs
Publication statusPublished - 14 Jul 2016

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

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