Asphaltene precipitation is a complex
and serious problem in all
sectors of the oil industry because it has a severe and detrimental
impact on oil production. Thus, it is crucial to investigate under
which conditions asphaltenes precipitate in order to prevent or mitigate
the effects. Several approaches have been reported in the literature
regarding the modeling of asphaltene precipitation during oil production.
The simplest one is the single-component solid model in which the
precipitated asphaltene is considered a pure solid and the oil and
gas phases are described by a cubic equation of state (EOS). These
are the basic assumptions of the Nghiem and Coombe’s model.
In this paper, based on this model, we make numerous improvements
and simplifications such as reducing the number of parameters to be
estimated and considering that the number of asphaltene fractions
can vary according to the oil characteristics. The characterization
method is performed using the exponential distribution and only the
binary interaction parameter is fitted to the experimental oil saturation
pressure data. The reference pressure is calculated according to de
Boer’s method instead of only extrapolating precipitation depletion
experimental data. Furthermore, the solid molar volume is predicted
using two correlations from literature, expressed as a function of
the molecular weight of the asphaltene. The developed model is capable
of calculating the amount of precipitated asphaltene as a function
of pressure. Our results indicate that the proposed approach is quite
accurate even having a smaller number of parameters to be estimated
compared to the original model.