Sulfur removal is
one of the key functions of vacuum gas oil (VGO)
hydrotreating reactors. Knowing feed and product properties real-time
or near-real-time improves reactor operations. The VGO section of
crude distillation unit is also prone to severe high-temperature sulfidic
and naphthenic acid corrosion. In this article, we evaluate a single-reflectance
attenuated total reflectance Fourier transform infrared (ATR-FTIR)
spectroscopy as a possible quick and cost-effective methodology to
determine total carboxylic acid number (TCAN) and total sulfur content
of VGO. The study shows that single-reflectance diamond ATR crystal
methodology has the right signal-to-noise ratio to accurately predict
TCAN and total sulfur within the primary method’s repeatability.
Statistical models have been developed using 64 sample sets of vacuum
gas oil and out of which 10 samples were used for the cross-validation
of the model. The range of TCAN in VGO samples used in this study
was between 0.37 and 13.8 mg KOH/g, and sulfur content was between
0.8 to 5.4% by mass. Models have been evaluated by determining the
correlation coefficient (R
2), linearity
curves obtained by plotting measured versus predicted values, and
the errors associated with the prediction and cross-validation. The
models showed a correlation coefficient of 0.9991 for TCAN and 0.9974
for total sulfur between reference and the measured values for calibration
set of samples. A root-mean-square error of calibration (RMSEC) and
prediction (RMSEP) for TCAN were found to be 0.0903 and 0.0885 mg
KOH/g. Similarly, RMSEC and RMSEP values for sulfur content were 0.0829
and 0.107% by mass, respectively. The proposed methodology for the
prediction of total sulfur and TCAN is fast, efficient, and cost-effective
and has several advantages over the standard methods.