PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic/aromatic ratio

Fuel

Volumn 98, Issue , 2012, Pages 5-14

  Abbas, Ouissam ^a   Rebufa, Catherine ^b   Dupuy, Nathalie ^b   Permanyer, Albert ^c   Kister, Jacky ^b  

^a WALLOON AGRICULTURAL RESEARCH CENTRE   (Belgium)

^b Aix Marseille University   (France)

^c UNIVERSITY OF BARCELONA   (Spain)

Author keywords

FTIR ATR; Indices; Quality; Synchronous fluorescence

Indexed keywords

ANALYTICAL METHOD; API GRAVITIES; AREA RATIOS; AROMATIC STRUCTURES; CHEMOMETRIC APPROACH; FT-IR-ATR; GLOBAL INFORMATIONS; INDICES; INFRARED INDICES; LEAST SQUARES; MULTI VARIATE ANALYSIS; OIL QUALITY; PHYSICAL METHODS; PLS MODELS; PLS REGRESSION; PREDICTIVE ABILITIES; QUALITY PARAMETERS; SPECTROSCOPIC DATA; SPECTROSCOPIC TECHNIQUE; SYNCHRONOUS FLUORESCENCE; TOTAL REFLECTANCE; ULTRA VIOLET;

AROMATIC COMPOUNDS; CHEMICAL COMPOUNDS; CRUDE OIL; FLUORESCENCE; FORECASTING; IMAGE QUALITY; LEAST SQUARES APPROXIMATIONS; PETROLEUM INDUSTRY;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

EID: 84861972895     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2012.03.045     Document Type: Article

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