IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v5y2012i12p5294-5306d22219.html
   My bibliography  Save this article

An Efficient Drift-Flux Closure Relationship to Estimate Liquid Holdups of Gas-Liquid Two-Phase Flow in Pipes

Author

Listed:
  • Jinho Choi

    (Department of Energy Systems Engineering, Seoul National University, 1 Gwanak-ro Gwanak-gu,Seoul 151-742, South Korea)

  • Eduardo Pereyra

    (McDougall School of Petroleum Engineering, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA)

  • Cem Sarica

    (McDougall School of Petroleum Engineering, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA)

  • Changhyup Park

    (Department of Energy & Resources Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Kangwon 200-701, South Korea)

  • Joe M. Kang

    (Department of Energy Systems Engineering, Seoul National University, 1 Gwanak-ro Gwanak-gu,Seoul 151-742, South Korea)

Abstract

The reliable predictions of liquid holdup and pressure drop are essential for pipeline design in oil and gas industry. In this study, the drift-flux approach is utilized to calculate liquid holdups. This approach has been widely used in formulation of the basic equations for multiphase flow in pipelines. Most of the drift-flux models have been developed on an empirical basis from the experimental data. Even though, previous studies showed that these models can be applied to different flow pattern and pipe inclination, when the distribution parameter is flow pattern dependent. They are limited to a set of fluid properties, pipe geometries and operational conditions. The objective of this study is to develop a new drift-flux closure relationship for prediction of liquid holdups in pipes that can be easily applied to a wide range of flow conditions. The developed correlation is compared with nine available correlations from literatures, and validated using the TUFFP (Fluid Flow Projects of University of Tulsa) experimental datasets and OLGA (OiL and GAs simulator supplied by SPTgroup) steady-state synthetic data generated by OLGA Multiphase Toolkit. The developed correlation performs better in predicting liquid holdups than the available correlations for a wide range of flow conditions.

Suggested Citation

  • Jinho Choi & Eduardo Pereyra & Cem Sarica & Changhyup Park & Joe M. Kang, 2012. "An Efficient Drift-Flux Closure Relationship to Estimate Liquid Holdups of Gas-Liquid Two-Phase Flow in Pipes," Energies, MDPI, vol. 5(12), pages 1-13, December.
  • Handle: RePEc:gam:jeners:v:5:y:2012:i:12:p:5294-5306:d:22219
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/5/12/5294/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/5/12/5294/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yongho Seong & Changhyup Park & Jinho Choi & Ilsik Jang, 2020. "Surrogate Model with a Deep Neural Network to Evaluate Gas–Liquid Flow in a Horizontal Pipe," Energies, MDPI, vol. 13(4), pages 1-12, February.
    2. Ralph Eismann & Sebastian Hummel & Federico Giovannetti, 2021. "A Thermal-Hydraulic Model for the Stagnation of Solar Thermal Systems with Flat-Plate Collector Arrays," Energies, MDPI, vol. 14(3), pages 1-39, January.
    3. Yaxin Liu & Eric R. Upchurch & Evren M. Ozbayoglu, 2021. "Experimental Study of Single Taylor Bubble Rising in Stagnant and Downward Flowing Non-Newtonian Fluids in Inclined Pipes," Energies, MDPI, vol. 14(3), pages 1-28, January.
    4. Tea-Woo Kim & Nam-Sub Woo & Sang-Mok Han & Young-Ju Kim, 2020. "Optimization and Extended Applicability of Simplified Slug Flow Model for Liquid-Gas Flow in Horizontal and Near Horizontal Pipes," Energies, MDPI, vol. 13(4), pages 1-27, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:5:y:2012:i:12:p:5294-5306:d:22219. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://www.mdpi.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.