3 research outputs found
Determination of Saturates, Aromatics, and Polars in Crude Oil by <sup>13</sup>C NMR and Support Vector Regression with Variable Selection by Genetic Algorithm
The contents of saturates, aromatics,
and polars in crude oil were
determined using carbon-13 nuclear magnetic resonance spectroscopy
(<sup>13</sup>C NMR) associated with support vector regression (SVR)
and a genetic algorithm (GA) for the simultaneous selection of spectral
variables and SVR model parameters. The developed models presented
prediction sample errors of 4.4% (w/w) for saturates, 4.3% (w/w) for
aromatics (w/w), and 3.7% (w/w) for polars. These results are acceptable
for the petroleum industry, considering that the error obtained by
the standard methodology is 5% (w/w), which is the maximum value of
variation allowed in SARA analysis. The proposed methodology made
these determinations using small amounts of samples (approximately
2 mL) in a relatively short time (approximately 2 h)