Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Correlations for prediction of pressure gradient of liquid-liquid flow through a circular horizontal pipe

    Access Status
    Fulltext not available
    Authors
    Dasari, A.
    Desamala, A.
    Ghosh, Ujjal
    Dasmahapatra, A.
    Mandal, T.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Dasari, A. and Desamala, A. and Ghosh, U. and Dasmahapatra, A. and Mandal, T. 2014. Correlations for prediction of pressure gradient of liquid-liquid flow through a circular horizontal pipe. Journal of Fluids Engineering. 136 (7): Article ID 071302 .
    Source Title
    Journal of Fluids Engineering
    DOI
    10.1115/1.4026582
    ISSN
    0098-2202
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/8288
    Collection
    • Curtin Research Publications
    Abstract

    We report a detailed investigation on the measurement and prediction of pressure gradient characteristics of moderately viscous lubricating oil-water flow through a horizontal pipe of 0.025 m internal diameter. Experiments are carried out over a wide range of phase velocities of both oil (USO = 0.015–1.25 m/s) and water (USW  =  0.1–1.1 m/s). Experimental pressure gradients yield significant errors when fitted to the existing correlations, which are largely used for gas-liquid flow. To predict pressure gradient characteristics for liquid-liquid flow, the existing correlations need to be modified. We propose two correlations, based on the Lockhart–Martinelli's approach (by modifying the correlation between the Lockhart–Martinelli parameter and a two-phase multiplier suitable for the present system) and dimensionless analysis, following the Buckingham's Pi-theorem. We observe significant improvement in the prediction of pressure gradient. The correlation based on the dimensionless analysis predicts better with an average absolute error of 17.9%, in comparison with the modified Lockhart–Martinelli correlation, which yields an average error of 22%, covering all the flow patterns. The present analysis shows better prediction as compared to two-fluid model Zhang et al. (2012, “Modeling High-Viscosity Oil/Water Concurrent Flow in Horizontal and Vertical Pipes,” SPE J., 17(1), pp. 243–250) and Al-Wahaibi (2012, “Pressure Gradient Correlation for Oil-Water Separated Flow in Horizontal Pipes,” Exp. Therm. Fluid Sci., 42, pp. 196–203) work.

    Related items

    Showing items related by title, author, creator and subject.

    • Multiphase Transient Flow in Pipes
      Ben Mahmud, Hisham (2012)
      The development of oil and gas fields in offshore deep waters (more than 1000 m) will become more common in the future. Inevitably, production systems will operate under multiphase flow conditions. The two–phase flow of ...
    • Evaluation of monorail haulage systems in metalliferous underground mining
      Besa, Bunda (2010)
      The decline is a major excavation in metalliferous mining since it provides the main means of access to the underground and serves as a haulage route for underground trucks. However, conventional mining of the decline to ...
    • Development of accurate and reliable correlations for various design parameters in oil and gas processing industries
      Bahadori, Alireza (2011)
      The continuing growth in the importance of oil and gas production and processing overall the globe increase the need for accurate prediction of various parameters and their impact on unit operations, process simulation ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.