Group-Type Analysis of Heavy Crude Oils Using Vibrational Spectroscopy in Combination with Multivariate Analysis

作者: Andreas Hannisdal , Pål V. Hemmingsen , Johan Sjöblom

DOI: 10.1021/IE0401354

关键词: Group typeCrude oilAnalytical chemistryAsphalteneInfrared spectroscopyHplc methodPrincipal component analysisAsphaltene precipitationHigh-performance liquid chromatographyChemistryChromatography

摘要: Twenty heavy and/or particle-rich crude oils have been quantitatively fractionated into saturates, aromatics, resins, and asphaltenes (SARA) by asphaltene precipitation in n-hexane high-performance liquid chromatography (HPLC). The newly developed fully automated HPLC method has a sample capacity corresponding to 0.6 g of oil. characterized vibrational spectroscopy the near-infrared (NIR) infrared (IR) regions. Principal component analyses (PCA) data sets from IR NIR were performed so that exploratory could be conducted. Partial least-squares (PLS) regression models built for each SARA predict amounts components. These successfully fitted experimental showed good predictive ability oil composition. not modeled properly aromatics but excellently satur...

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