Determination of Saturates, Aromatics, and Polars in Crude Oil by 13C NMR and Support Vector Regression with Variable Selection by Genetic Algorithm

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