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  • corresponding states  (2)
  • viscosity, thermal conductivity  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    International journal of thermophysics 20 (1999), S. 85-95 
    ISSN: 1572-9567
    Keywords: corresponding states ; petroleum fractions ; propane ; viscosity, thermal conductivity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract A corresponding-states model for the transport properties of petroleum fractions is presented. The model requires only the API specific gravity and the mean average boiling point as input parameters. The extended correspanding-states model uses propane as a reference fluid, and new generalized shape factor expressions that are functions of the acentric factor and the reduced temperature are presented. Also presented are new correlating functions for the viscosity and thermal conductivity of the reference fluid that can be extrapolated well below the freezing point of propane. The performance of the model is demonstrated by comparing with experimental data for viscosity and thermal conductivity of petroleum fractions.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    International journal of thermophysics 17 (1996), S. 213-221 
    ISSN: 1572-9567
    Keywords: corresponding states ; petroleum fractions ; viscosity prediction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract We predict the viscosity of petroleum fractions using extended corresponding states. Our model builds upon the TRAPP procedure, which is the most advanced approach to predict transport properties of straight-chain nonpolar hydrocarbons and their mixtures. We perform comparisons with experimental viscosity data for pure hydrocarbons, treating them as nonstandard components; we find deviations of 10–15%. We also extend the model to predict the transport properties of petroleum fractions and compare with an experimental database of more than 80 crude oils, including highly aromatic petroleum fractions. The model predicts the viscosity of the crude oil fractions within experimental uncertainty.
    Type of Medium: Electronic Resource
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