In China, coal-to-liquid
(CTL) lube base oils with ultrahigh viscosity
index (VI) are very popular. Since it consists of chain alkanes only
and can be precisely characterized by molecular structures alone,
quantitative
13
C nuclear magnetic resonance (NMR) data
are used to generate the average structural parameters (ASPs) of CTL
base oil. In this work, the ASPs and bulk properties of CTL base oils
were tested and compared with those of mineral base oils. Based on
the test results, the correlation between the unique property of CTL
base oil VI and ASPs was analyzed. To eliminate the effect of significant
multicollinearity among the input variables, statistical methods such
as ordinary least-squares (OLS), stepwise regression, and ridge regression
methods were used to build the VI prediction model. The main findings
are as follows: according to the
13
C NMR spectrum, CTL
base oils had a significantly higher content of isomeric chain alkanes
(including several branching structures) than mineral base oil, while
the content of cycloalkanes was zero; among several branched structures,
the one with the largest difference in content is structure S
67
, which has the highest percentage in the iso-paraffin structures,
all above 25.5% in CTL base oils and below 21.39% in mineral oils;
according to the distillation curve of the simulated distillation
(SimDist) analysis, CTL base oils with similar carbon number distribution
showed lower boiling points, narrower distillation ranges, and higher
distillation efficiencies than mineral base oil; correlation analysis
showed that the average chain length (ACL), normal paraffins (NPs),
and structure S
67
caused the CTL base oil to exhibit a
higher VI; and from
13
C NMR data, the ridge regression
model was used to obtain regression coefficients consistent with reality,
and the expected VI could be well predicted with a correlation coefficient
of 0.935.