Wax
precipitation is a significant problem in the oil and gas industry
as it may cause plugging of the process equipment and transportation
pipelines during oil transportation, production, and refining. Therefore,
an accurate thermodynamic model for prediction of the wax appearance
temperature (WAT) at especially high pressures can be helpful to deal
with this problem. In this work, first, the WAT values for nine types
of Iranian live crude oils were measured using a PVT cell equipped
with a solids detection system (SDS). Then, an improved thermodynamic
model based on the multi-solid (MS) model of wax precipitation, which
was coupled with the chain form of the statistical associating fluid
theory (PC-SAFT) equation of state (EOS), was developed to correlate
the measured experimental data. Also, the MS model of wax precipitation
was coupled with the Peng–Robinson (PR) EOS to be compared
with the proposed model. Solid–liquid equilibria (SLE) were
employed for the pressures above the bubble curve, and vapor–liquid–solid
equilibria (VLSE) were utilized below the bubble curve in the P-T diagram. In the proposed model, the
crude oil was considered as a mixture of the paraffinic, naphthenic,
and aromatic fractions, and the plus fraction has been characterized
using the three-parameter gamma probability function theory, to improve
the characterization of the previous models based on two-parameter
gamma probability function theory. The results of the experiments
indicated that the WAT values decreased by increasing the pressure
at the lower range of pressures. Also, the correlated values show
that the proposed model based on PC-SAFT EOS with the correlated parameters
can predict the WAT values better than the MS model with PR EOS with
the %AAD below %1 at a wide range of pressures.