Coinjecting CO2 and light hydrocarbons with steam into
oil sand reservoirs can improve the efficiency of the SAGD (steam
assisted gravity drainage) process by reducing the steam oil ratio
(SOR). The effects of these solvents on bitumen recovery enhancement
depend on reservoir properties and operating conditions. To investigate
the effects of solvents on bitumen viscosity in a solvent aided process,
phase behaviors and viscosities of CO2–, C3–, and C4–bitumen systems were measured
and modeled at high temperatures. Using the calibrated Peng–Robinson
equation of state (PR-EOS), the solubilities of solvents in the Clearwater
bitumen sample from the Cold Lake region were predicted. High-pressure
and high-temperature equipment using an electromagnetic-based viscometer
was customized to measure the viscosities of CO2–,
C3–, and C4–bitumen mixtures.
The measured viscosity data were used to calibrate a nonlinear viscosity
model which was used to predict liquid phase viscosity as a function
of solvent solubility and temperature. The effects of solvent dissolution
on bitumen viscosity were investigated using PR-EOS and the calibrated
viscosity model. The results show that dissolving CO2,
C3, and C4 in bitumen decreases its viscosity.
This viscosity reduction is lowest and highest in the case of CO2 and C4 dissolution, respectively. The effect of
solvent dissolution on viscosity reduction is more pronounced at lower
temperatures. EOS predictions and viscosity measurements indicate
that increasing concentration of CO2, C3, and
C4 above a certain threshold has a limited effect on reducing
bitumen viscosity. At threshold solvent concentrations, bitumen viscosity
can be reduced by 1.7, 5.6, and 15.2 times using CO2, C3, and C4, respectively, at 120 °C. Solubility
and viscosity data suggest that C4 has the potential to
be used in hot-solvent recovery methods in shallow and deep oil sand
reservoirs. C3 may be a more effective solvent in deeper
reservoirs which allow higher operating pressures. The modified viscosity
model showed better performance than the Lobe and Shu correlations
and logarithmic mixing rule. This model improves existing correlations
for predicting viscosities of light solvent−bitumen mixtures
since it requires less input data and does not require density data.