Analyse des kérosènes et des gas oils moyens par spectrométrie de masse à moyenne résolution

Castex, H.; Boulet, René; Juguin, J.; Lepinasse, A.

doi:10.2516/ogst:1983031

Cited by 12 publications

(14 citation statements)

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“…They are averaged in order to improve the signal to noise ratio. The wt% of monoaromatics, diaromatics+ (sum of the di-, tri-and polyaromatics), total aromatics (sum of mono-and di+), naphthenes and paraffins are determined following the method described in [9]. The precision of the method is given in Table 1.…”

Section: Mass Spectrometry (Ms)mentioning

confidence: 99%

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Partial Least Square Modeling for the Control of Refining Processes on Mid-Distillates by Near Infrared Spectroscopy

Aji

Schildknecht-Szydlowski

Faraj

2004

Oil & Gas Science and Technology - Rev. IFP

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Résumé -Modèles PLS pour le suivi de la qualité par spectrométrie proche infrarouge des distillats moyens issus des procédés de raffinage -La régression PLS (Partial Least Squares) a été utilisée pour établir des modèles de prédiction de différentes familles chimiques i.e. % massique paraffines, naphtènes et % massique et mol/100 g monoaromatiques, diaromatiques+ et total aromatiques à partir de spectres proche infrarouge (PIR) de distillats moyens de composition chimique très variée. La classification a été utilisée pour tenir compte des ressemblances chimiques entre échantillons et organiser en classes la base de calibration. Les corrélations entre les spectres PIR et les propriétés modélisées permettent de prédire, pour la plupart, l'ensemble des propriétés dans deux fois l'intervalle de confiance à 95 % des méthodes de référence, après classification préalable des échantillons en trois clusters. La classification a été nécessaire pour améliorer la qualité de prédiction des modèles PLS. Abstract -Partial Least Square Modeling for the Control of Refining Processes on Mid-Distillates by Near Infrared Spectroscopy -Partial Least Squares regression (PLS) was used to elaborate the prediction models of the different chemical families i.e. wt% paraffins, naphthenes, and wt% and mol/ 100 g monoaromatics, diaromatics+ and total aromatics from Near InfraRed spectra (NIR) of middistillates covering a large range of chemical compositions. Cluster analysis was used to reveal the chemical similarities between samples and to organize in clusters the calibration data base. The relation-ships between NIR spectra and modeled properties were well adapted for most of the prediction models in twice the interval of confidence at 95% of the reference methods after clustering of the data base into three clusters. Cluster analysis was necessary to improve the prediction quality of the PLS models.

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Section: Mass Spectrometry (Ms)mentioning

confidence: 99%

“…To calculate the w% of each family, the mean molecular mass of each family (i.e. monoaromatics, diaromatics and tri+) was determined by mass spectrometry for each aromatic family [9]. The precision of the reference method is given in Table 1.…”

Section: Uv Spectrometrymentioning

confidence: 99%

Partial Least Square Modeling for the Control of Refining Processes on Mid-Distillates by Near Infrared Spectroscopy

Aji

Schildknecht-Szydlowski

Faraj

2004

Oil & Gas Science and Technology - Rev. IFP

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“…The MS method used consists of an average resolution analysis (R = 5000) without any prior separation and is derived from ASTM D2425 [5]. Its scope covers petroleum cuts whose boiling point ranges 180 and 400°C.…”

Section: Principle and Scope Of Mass Spectrometry Quantificationmentioning

confidence: 99%

“…In order to check the average response coefficients ascribed to both groups of sulphured aromatic compounds in the MS method [5], a mixture of model molecules, as a solution in toluene, was produced. It consists non-alkylated molecule (benzothiophene and dibenzothiophene) as well as certain alkylated forms up to three carbons for the BTs and two carbons for the DBTs.…”

Section: Accuracy Of the Response Coefficientsmentioning

confidence: 99%

“…Few analytical techniques enable to access this quantitative information taking into account the complexity of the mixtures to be studied (several thousand compounds). For many years, methods using mass spectrometry (MS) have allowed very detailed group-type analysis, of middle distillates [2][3][4][5] as well as of heavy cuts [4,[6][7][8]. They enable to reach the detail of aliphatic hydrocarbons (alkanes, one to several rings cycloalkanes), aromatic hydrocarbons (monoaromatic (C n H 2n-6 to C n H 2n-10 ), diaromatic (C n H 2n-12 to C n H 2n-16 ), triaromatic and polyaromatic hydrocarbons as well as sulphured and even disulphured aromatic).…”

Section: Introductionmentioning

confidence: 99%

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New Developments in Mass Spectrometry for Group-Type Analysis of Petroleum Cuts (Second Part)

Fafet

Bonnard

Prigent

1999

Oil & Gas Science and Technology - Rev. IFP

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Estimation of total aromatics in kerosene fractions by infrared spectroscopy: I

Ramaswamy

Sarowha

Singh

1986

J of Chemical Tech & Biotech

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A faster and accurate infrared method for estimating total aromatics in petroleum samples boiling in the kerosene range (140–250°C) was developed using pure aromatic concentrate from kerosene as reference material. The limitations of a synthetic mixture of pure compounds used as reference are also discussed. The accuracy of results is found to be dependent on the closeness of the average absorptivity at a characteristic wave number (1600 cm−1) of an unknown sample and kerosene used as reference. The results obtained from the proposed method on kerosene fractions of Bombay High are compared, as an illustration, with those obtained by FIA.

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Analyse des kérosènes et des gas oils moyens par spectrométrie de masse à moyenne résolution

Cited by 12 publications

References 0 publications

Partial Least Square Modeling for the Control of Refining Processes on Mid-Distillates by Near Infrared Spectroscopy

Partial Least Square Modeling for the Control of Refining Processes on Mid-Distillates by Near Infrared Spectroscopy

New Developments in Mass Spectrometry for Group-Type Analysis of Petroleum Cuts (Second Part)

Estimation of total aromatics in kerosene fractions by infrared spectroscopy: I

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