Chromatographic Techniques for Petroleum and Related Products

Barman, Bhajendra N.; Cebolla, Vicente L.; Membrado, Luis

doi:10.1080/10408340091164199

Cited by 108 publications

(95 citation statements)

References 9 publications

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“…Details on ASTM standard methods and improvements on the determination of SARA components can be found in the literature [1,2]. Each of the major SARA components can be further characterised by the use of Gas Chromatography -Mass Spectrometry (GC-MS) which provides unambiguous identification of individual components.…”

Section: Introductionmentioning

confidence: 99%

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

2008

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Abstract:Frequency domain (FD) fluorescence lifetime data was collected for a series of 20 crude petroleum oils using a 405 nm excitation source and over a spectral range of ~426 to ~650 nm. Average fluorescence lifetimes were calculated using three different models: discrete multi-exponential, Gaussian distribution, and Lorentzian distribution. Fitting the data to extract accurate average lifetimes using the various models proved easier and less time consuming for the FD data than with Time Correlated Single Photon Counting (TCSPC) methods however the analysis of confidence intervals to the computed average lifetimes proved cumbersome for both methods. The uncertainty in the average lifetime was generally larger for the discrete lifetime multi-exponential model when compared to the distributionbased models. For the lifetime distributions, the data from the light crude oils with long lifetimes generally fit to a single decay term. Heavier oils with shorter lifetimes required This is the author version of the paper: Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils. P. Owens, A.G. Ryder, and N.J.F. Blamey. Journal of Fluorescence, 18(5), 997-1006Fluorescence, 18(5), 997- , (2008. DOI: 10.1007/s10895-008-0330-5Page 2 of 21 multiple decay terms. The actual value for the average lifetime is more dependant on the exact fitting model employed than the data acquisition method used. Correlations between average fluorescence lifetimes and physical and chemical parameters of the crude oils were made with a view to developing a quantitative model for predicting the gross chemical composition of crude oils. It was found that there was no significant benefit gained by using FD over TCSPC other than more rapid data analysis in the FD case. For the FD data the Gaussian distribution model for fluorescence lifetime gave the best correlations with chemical composition allowing a qualitative correlation to some bulk oil parameters.

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Section: Introductionmentioning

confidence: 99%

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

2008

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“…Operado em condições apropriadas, um cromatógrafo a gás funciona como uma unidade de microdestilação altamente eficiente 5 . Revisões sobre o assunto foram publicadas por Butler et al 15 , Huber 16 , Peaden 17 e, mais recentemente, por Barman et al 18 e Blomberg et al 19 . A análise cromatográfica por destilação simulada deve ser capaz de fornecer, como resultado final, uma curva de destilação semelhante à curva gerada pelo método convencional PEV (Pontos de Ebulição Verdadeiros), apresentada na Figura 1.…”

Section: Introductionunclassified

A destilação simulada na indústria do petróleo

Ferreira

Neto

2005

Quím. Nova

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Recebido em 7/6/04; aceito em 15/10/04; publicado na web em 17/2/05 SIMULATED DISTILLATION IN THE PETROLEUM INDUSTRY. One of the most widely used physico-chemical characterizations of hydrocarbon mixtures is the determination of their boiling point distribution. Knowledge of the boiling range of crude oils and petroleum products is essential to ensure the correct specification of final products and to control refinery processes. Simulated distillation, a GC based process, has been playing this role for the past decades in the petroleum industry. The main purpose of this work is to show the fundamentals of this technique as well as its present trends.

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“…Gas chromatography (GC) is an analytical technique that is broadly used for characterizing crude oil (hydrocarbons), and numerous advances in this method have originated in petroleum industry laboratories (Gautam et al, 1998;Barman et al, 2000). Moreover, its use has markedly increased in the last few years with the progress in instrumentation and the relatively low cost of the equipment (Durand, 2000).…”

Section: Oil Characterizationmentioning

confidence: 99%

Simulation and characterization in the refining industry: A review

Mohamed¹,

Beshir²,

Rabah³

2014

J. Pet. Technol. Altern. Fuels

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Oil refining is one of the most complex chemical industries; the objective of refinery operations is to generate as much profit as possible by converting crude oils into valuable products. The current trend toward processing petroleum needs sufficient compositional information to understand the chemistry of reactions that are involved. The objective of the present paper is to review the simulation technologies and characterization techniques which have been used in refining industry. It is found that simulation can be used in crude oil scheduling, predicting wax precipitation, asphaltene deposition, and for fractionation of crude oil based on equilibrium stage relations. The review on characterization methods clearly illustrates that the spectroscopic techniques (IR/FTIR, NMR, NIR); chromatographic techniques; true boiling point; solvent precipitation; refractive index; differential scanning calorimeter and thermogravimetry; and near-infrared region are mostly used in characterizing crude oil.

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Chromatographic Techniques for Petroleum and Related Products

Cited by 108 publications

References 9 publications

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

A destilação simulada na indústria do petróleo

Simulation and characterization in the refining industry: A review

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