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|Type:||Artigo de Periódico|
|Title:||Determination Of Saturates, Aromatics, And Polars In Crude Oil By C-13 Nmr And Support Vector Regression With Variable Selection By Genetic Algorithm|
|Abstract:||The contents of saturates, aromatics, and polars in crude oil were determined using carbon-13 nuclear magnetic resonance spectroscopy (C-13 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).|
|Subject:||Field H-1-nmr Relaxometry|
|Editor:||AMER CHEMICAL SOC|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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