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Bergen, Norway

Tomren A.L.,University of Bergen | Tomren A.L.,Michelsen Center | Barth T.,University of Bergen | Barth T.,Michelsen Center | And 2 more authors.
Energy and Fuels | Year: 2012

Crude oil characterization by infrared (IR) spectroscopy and whole oil gas chromatography (GC) has been used to provide data for establishing multivariate prediction models for physical properties of crude oils. The parameters of interest are used in multiphase flowmeters (MFMs) for monitoring production and transport of petroleum fluids, and permittivity parameters are of special interest. Data for 20 crude oils and condensates has been acquired and modeled using partial least squares (PLS) modeling. Good quality predictions were obtained for density, velocity of sound, and static and high frequency permittivity. Biodegradation of crude oil is the main cause of variation in the modeled variables. The data required are obtained in standard analytical procedures, and thus the approach has a considerable potential for use in on-site quality assurance. © 2012 American Chemical Society. Source


Tomren A.L.,University of Bergen | Tomren A.L.,Michelsen Center | Barth T.,University of Bergen | Barth T.,Michelsen Center
Fuel | Year: 2014

Abstract Partial Least Squares (PLS) calibration models for viscosity, asphaltene content and Total Acid Number (TAN) based on Gas Chromatography (GC) and Infra Red (IR) spectroscopy have been compared based on predictive quality, and also based on chemical significance. Crude oils and condensates, 20 in total, originating mainly from the North Sea, have been analysed and PLS calibration models have been built. The models based on IR data gives somewhat better predictions. Biodegradation is an important factor for the variation in TAN values, and there are indications that biodegradation has some effect on the variation of asphaltene content as well. © 2013 Elsevier Ltd. All rights reserved. Source

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