Prediction of long-residue properties of potential blends from mathematically mixed infrared spectra of pure crude oils by partial least-squares regression models

Energy and Fuels

Volumn 23, Issue 4, 2009, Pages 2164-2168

  De Peinder, Peter ^a   Visser, Tom ^c   Petrauskas, Derek D ^b   Salvatori, Fabien ^b   Soulimani, Fouad ^c   Weckhuysen, Bert M ^c  

^a VibSpec   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON RESIDUE; FIRST DERIVATIVE; INFRARED SPECTRUM; INTERNATIONAL RESEARCHES; IR SPECTRUM; MEAN CENTERING; MULTIPLICATIVE SCATTER CORRECTION; NONLINEAR EFFECT; PARALLEL SETS; PARTIAL LEAST-SQUARES REGRESSION; PATENT APPLICATIONS; PLS MODELS; POUR POINTS; PREDICTION MODEL; PROPERTY VALUE; RAPID SCREENING; SULFUR CONTENTS; TESTING METHOD; WEIGHT RATIOS;

COMPUTATIONAL FLUID DYNAMICS; ELECTRIC REACTORS; REGRESSION ANALYSIS; SULFUR;

INFRARED SPECTROSCOPY;

EID: 65449182458     PISSN: 08870624     EISSN: None     Source Type: Journal    
DOI: 10.1021/ef801053b     Document Type: Article

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