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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
04/01/2010 |
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Data da última atualização: |
16/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMOS, P. F. de O.; TOLEDO, I. B. de; NOGUEIRA, C. M.; NOVOTNY, E. H.; VIEIRA, A. J. M.; AZEREDO, R. B. de V. |
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Afiliação: |
PAULO FREDERICO DE OLIVEIRA RAMOS, PETROBRAS; INGRID BERTONI DE TOLEDO, UFF; CHRISTIANE MAPHEU NOGUEIRA, UFF; ETELVINO HENRIQUE NOVOTNY, CNPS; ALEXANDRE JAIME MELLO VIEIRA, PETROBRAS; RODRIGO BAGUEIRA DE VASCONCELLOS AZEREDO, UFF. |
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Título: |
Low field 1H NMR relaxometry and multivariate data analysis in crude oil viscosity prediction. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Chemometrics and Intelligent Laboratory Systems, v. 99, n. 2, p. 121-126, Dec. 2009. |
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DOI: |
https://doi.org/10.1016/j.chemolab.2009.08.001 |
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Idioma: |
Inglês |
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Conteúdo: |
This study explores the application of multivariate data analysis in the viscosity prediction of crude oils using NMR relaxation data. The 1H transverse relaxation times (T2) of 68 Brazilian crude oil samples, ranging from light to extra-heavy (2 to 30,000 cP), were measured at 2 MHz. Partial least squares regression (PLSR) models were developed to predict the oil viscosity in log viscosity units from the T2 relaxation spectra and directly from the raw relaxation curves. In both cases, the PLSR with only three latent variables produced good calibration models, with a standard error of prediction of 0.161 and 0.135 log cP for the T2 relaxation spectra and raw relaxation curves, respectively. The PLSR models were validated by full cross and external set schemes revealing quite equivalent performances. |
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Palavras-Chave: |
Óleo cru; PLSR. |
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Thesagro: |
Viscosidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01549naa a2200229 a 4500
001 1579229
005 2021-09-16
008 2009 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.chemolab.2009.08.001$2DOI
100 1 $aRAMOS, P. F. de O.
245 $aLow field 1H NMR relaxometry and multivariate data analysis in crude oil viscosity prediction.$h[electronic resource]
260 $c2009
520 $aThis study explores the application of multivariate data analysis in the viscosity prediction of crude oils using NMR relaxation data. The 1H transverse relaxation times (T2) of 68 Brazilian crude oil samples, ranging from light to extra-heavy (2 to 30,000 cP), were measured at 2 MHz. Partial least squares regression (PLSR) models were developed to predict the oil viscosity in log viscosity units from the T2 relaxation spectra and directly from the raw relaxation curves. In both cases, the PLSR with only three latent variables produced good calibration models, with a standard error of prediction of 0.161 and 0.135 log cP for the T2 relaxation spectra and raw relaxation curves, respectively. The PLSR models were validated by full cross and external set schemes revealing quite equivalent performances.
650 $aViscosidade
653 $aÓleo cru
653 $aPLSR
700 1 $aTOLEDO, I. B. de
700 1 $aNOGUEIRA, C. M.
700 1 $aNOVOTNY, E. H.
700 1 $aVIEIRA, A. J. M.
700 1 $aAZEREDO, R. B. de V.
773 $tChemometrics and Intelligent Laboratory Systems$gv. 99, n. 2, p. 121-126, Dec. 2009.
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| 2. |  | PASSINI, R.; BORGATTI, L. M. O.; FERREIRA, F. A.; RODRIGUES, P. H. M. Degradabilidade no rúmen bovino de grãos de milho processados de diferentes formas. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 3, p. 271-276, mar. 2004 Título em inglês: Degradability of differently processed corn grain in bovine rumen.| Biblioteca(s): Embrapa Unidades Centrais. |
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