• Title of article

    Reliable heavy oil–solvent viscosity mixing rules for viscosities up to 450 K, oil–solvent viscosity ratios up to 4 × 105, and any solvent proportion

  • Author/Authors

    Barrufet، نويسنده , , Maria A and Setiadarma، نويسنده , , Agustinus، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    15
  • From page
    65
  • To page
    79
  • Abstract
    This paper presents an evaluation of various heavy oil viscosity models using new experimental data for mixtures of a heavy oil sample from Canada’s heavy oil reserves and n-decane used as a viscosity reducer. We measured viscosities at temperatures ranging from ambient to 450 K using a versatile mercury capillary tube. luated several mixing rules to predict the mixture viscosity as a function of temperature and the viscosities of the constituents. The most promising mixing rule follows a methodology proposed originally by Lederer. We used our own experimental data to calibrate this mixing rule, which only has two adjustable parameters, and used the same coefficients to predict the blending viscosity of mixtures of bitumen and a synthetic oil solvent reported in the literature. This mixing rule can reproduce blending viscosities within the uncertainty of the experiments for oil–solvent viscosity ratios up to 4×105, temperatures from ambient to 450 K, and mixtures of any solvent proportion. aper provides a valuable new experimental viscosity of heavy oil and n-decane and a reliable mixing rule that has been independently validated with literature data and can be used to estimate diluent quantities required to reduce oil viscosity for pipeline transportation of heavy oil, to design solvent stimulation of wells, and to provide viscosities for thermal reservoir simulators for heavy oil recovery processes.
  • Keywords
    Heavy oil viscosity , Viscosity reduction , Viscosity mixing rules
  • Journal title
    Fluid Phase Equilibria
  • Serial Year
    2003
  • Journal title
    Fluid Phase Equilibria
  • Record number

    2033737