Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/320047
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
Author: Filgueiras
PR; Portela
NA; Silva
SRC; Castro
EVR; Oliveira
LMSL; Dias
JCM; Neto
AC; Romao
W; Poppi
RJ
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
Partial Least-squares
Multivariate Calibration
Diesel Blends
Prediction
Chemometrics
Spectroscopy
Petroleum
Biodiesel
Viscosity
Editor: AMER CHEMICAL SOC
Rights: fechado
Identifier DOI: 10.1021/acs.energyfuels.5b02377
Address: http://pubs-acs-org.ez88.periodicos.capes.gov.br/doi/abs/10.1021/acs.energyfuels.5b02377
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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