Determination of the penetration value of bitumens by near infrared spectroscopy

Blanco, M.; Maspoch, S.; Villarroya, I.; Peralta, Xomalin G.; González, Josep M.; Torres, Jeamichel Puente

doi:10.1039/b004121l

Cited by 15 publications

(14 citation statements)

References 14 publications

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“…pressure, API gravity, and aromatics contents Kelly and Callis., 1990;Litani-Barzilai et al, 1997;Wang et al, 1997); real-time classification of petroleum products (Kim et al, 2000); and monitoring of oil refining units . Blanco et al (2000Blanco et al ( , 2001 used a scanning-grating NIR spectro-scope (NIRSystems 6500) in the wavelength range of 1100 to 2500 nm with a sample cuvette of 0.2 mm light path length to determine the penetration value, viscosity, density, softening point, Fraass breaking point, and SARA (saturates, aromatics, resins, and asphaltenes) composition of "bitumen" -the heavy crude oil fraction obtained by direct distillation. Kallevik et al (2000) used the same NIR instrument to analyze asphaltene and resin concentrations in solvent-diluted asphalteneresin solutions.…”

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confidence: 99%

“…Friesen (1996) used the NIRSystem 6500 instrument with a diffuse reflectance probe for qualitative analysis of oil sands slurries. Blanco et al (2000) reported that replicate spectra for the same sample acquired using the scanning instrument exhibited significant signal shifts. The first-and second-order derivatives of the spectra were used to establish calibration models.…”

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confidence: 99%

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Analysis of Solvent‐Diluted Bitumen from Oil Sands Froth Treatment Using NIR Spectroscopy

2004

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I n the extraction of bitumen from oil sands, bitumen froth treatment is an essential step to remove water and solids from bitumen froth (Clark and Pasternack, 1932;Tipman and Shaw, 1993). The bitumen froth usually contains about 60 wt% bitumen, 30 wt% water, and 10 wt% solids. Current commercial froth treatment employs naphtha dilution followed by multistage centrifugation, which gives a diluted bitumen product containing 0.3 to 1.0 wt% solids and 1 to 5 wt% water (Tipman and Shaw, 1993). An alternative froth treatment process that uses aliphatic solvent as diluent can produce a diluted bitumen product that contains less than 0.1 wt% water/solids and controlled levels of asphaltenes (Long et al., 2002(Long et al., , 2004Tipman and Long, 1999;Tipman et al., 2001). The performance of bitumen froth treatment process using aliphatic solvent depends greatly on controlling process parameters; among the most important of these are the solvent-to-bitumen ratio (S/B, by wt), asphaltenes rejection level, and density of the solventdiluted bitumen oil phase. Successful control of these process parameters ensures the desired level of asphaltenes in product, sufficiently high settling flux of water and solids, and on-spec product (e.g., containing less than 0.1 wt% water-plus-solids).At present, the S/B of solvent-diluted bitumen is usually determined by vacuum rotary evaporation (Rotavapor), the asphaltenes content in bitumen is analyzed using the standard ASTM (ASTM D 3279-97) or IP (IP 143-96) methods based on precipitation of asphaltenes by light aliphatic solvent followed by filtration, and the density of solvent-diluted bitumen is measured using a laboratory density meter. These analyses are labourintensive and time-consuming. Rotavapor takes approximately 1.5 h to complete and asphaltene content analysis takes about 6 h. Furthermore, the accuracy of the analytical results is subjected to the skill of the analyst. Consistency of the results from various laboratories is frequently not s a t i s f a c t o ry. Therefore, more reliable and faster analytical methods are required to better monitor performance and to permit timely adjustments of the operating conditions for bitumen froth treatment.Near-infrared (NIR) spectroscopy provides information on chemical and physical properties of sample components. Chemometric methods based on eigenvalue decomposition of a data matrix are effective tools for analyzing correlations between spectral information and sample composition and properties (Beebe and Kowalski, 1987;Kramer, 1998). NIR spectroscopy in combination with chemometrics is hence a powerf u l approach for convenient routine laboratory and on-line analysis.NIR techniques that have found applications in petroleum industry include determination of gasoline properties e.g. octane number, vapour * Author to whom correspondence may be addressed. E-mail address: ylong@nrcan.gc.caProcess control and optimization of bitumen froth treatment during oil sands processing require rapid analysis of asphaltene content in bitumen, solve...

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Analysis of Solvent‐Diluted Bitumen from Oil Sands Froth Treatment Using NIR Spectroscopy

2004

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“…The spectral interval from 4000 to 6500 cm −1 shows well behaved spectral features presenting absorptions bands that can be attributed largely to the combinations of vibrational modes for the C–H bonds (4500–4000 cm −1 , stretching) and to the first overtones of C–H bonds (5500–6000 cm −1 ). The absorption values in the range 4500–5000 cm −1 , correspond to the O−H group stretching and C−H combination (Dong et al ., ; Blanco et al ., ; Golic et al ., ). It also shows the region in between 7000 to 7500 cm −1 is noisy.…”

Section: Resultsmentioning

confidence: 98%

Quantification of Incensole in Three Boswellia Species by NIR Spectroscopy Coupled with PLSR and Cross‐Validation by HPLC

Al-Shidhani

Rehman

Mabood

et al. 2018

Phytochemical Analysis

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“…The information contained in the NIR spectrum has been used to determine the composition and physical properties of bitumens. 9 In previous work, 10 NIR spectra were found to provide models of increased simplicity and predictive ability for predicting penetration at 25 8C in bitumens from samples of the same geographical origin. The prior classi cation of samples with an origin unknown and/or different from that considered in the calibration models allowed their physical properties to be predicted by using the most suitable calibration model in each case.…”

Section: Introductionmentioning

confidence: 98%

“…The experimental procedure followed is described elsewhere. 10 Each spectrum was the average of 32 scans performed at 2 nm intervals over the wavelength range 1100 -2498 nm. First-derivative spectra were obtained by using the Savitzky-Golay algorithm with a window size of 11 points and a second-order tting polynomial.…”

Section: Introductionmentioning

confidence: 99%

Geographical Origin Classification of Petroleum Crudes from Near-Infrared Spectra of Bitumens

Blanco¹,

Maspoch²,

Villarroya³

et al. 2001

Appl Spectrosc

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Petroleum crudes of different geographical origin exhibit differences in chemical composition that arise from formation and ripening processes in the crude. Such differences are transmitted to the fractions obtained in the processing of petroleum. The use of unsupervised classification/sorting methods such as principal component analysis (PCA) or cluster analysis to near-infrared (NIR) spectra for bitumens obtained from petroleum crudes of diverse origin has revealed that composition differences among bitumens are clearly reflected in the spectra, which allows them to be distinguished in terms of origin. Accordingly, in this work we developed classification methods based on soft independent modeling of class analogy (SIMCA) and artificial neural networks (ANNs). While the latter were found to accurately predict the origin of the crudes, SIMCA methodology failed in this respect.

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Determination of the penetration value of bitumens by near infrared spectroscopy

Cited by 15 publications

References 14 publications

Analysis of Solvent‐Diluted Bitumen from Oil Sands Froth Treatment Using NIR Spectroscopy

Analysis of Solvent‐Diluted Bitumen from Oil Sands Froth Treatment Using NIR Spectroscopy

Quantification of Incensole in Three Boswellia Species by NIR Spectroscopy Coupled with PLSR and Cross‐Validation by HPLC

Geographical Origin Classification of Petroleum Crudes from Near-Infrared Spectra of Bitumens

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