Measured enthalpies of eight hydrocarbon fractions

Lenoir, John M.; Hipkin, Howard G.

doi:10.1021/je60057a026

Cited by 22 publications

(20 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this approach it was assumed that the molecular weights of the three hydrocarbon structures were the same. By comparing the enthalpies predicted by a corresponding-state method with the experimental values published by Lenoir and Hipkins [46] Riazi and Al-Sahhaf show that their procedure is suitable for the application to petroleum distillates.…”

Section: Reviewmentioning

confidence: 86%

“…Paraffinic carbon atoms of heavy fractions are more frequently connected to aromatic or naphthenic components. The deviation between the experimental and the predicted standard heat of combustion of the light Alaskanaphtha [46] is about 2%, for instance. …”

Section: Reviewmentioning

confidence: 93%

“…The experimental data of the gas oil published by Lenoir and Hipkin [46] are compared with the predictions of the new model, as summarized in Tab. 13.…”

Section: Examplementioning

confidence: 99%

“…Characterization of a gas oil. * * Experimental data from Lenoir and Hipkin [46], A i = average characterization by Eq. (i) erence point for applying corresponding-states equations to mixtures.…”

Section: Examplementioning

confidence: 99%

“…Lenoir and Hipkin [46] published the experimental standard heat of combustion of the gas oil. This property can be used for evaluating the quality of the pseudocritical data.…”

Section: Reviewmentioning

confidence: 99%

See 4 more Smart Citations

Critical Properties of Hydrocarbon Systems

Korsten¹

1998

Chem. Eng. Technol.

View full text Add to dashboard Cite

The main objective of this article is to provide a model for predicting critical properties of heavy and nonboiling hydrocarbon fractions. For this purpose, the methods available today are discussed. The procedures for application to complex mixtures are of empirical nature, and most of them are limited to distillates.The detailed information required for application of group contribution methods is usually not available for complex heavy mixtures. A new procedure is presented which takes up the concept of group contributions. The critical properties are predicted on the basis of the molecular weight and the double-bond equivalent (DBE). Since the DBE can be calculated from molecular weight and elemental composition, even nonboiling fractions can be characterized. The exactness of the model depends on the available analytical information.

show abstract

Section: Reviewmentioning

confidence: 86%

Section: Reviewmentioning

confidence: 93%

“…The experimental data of the gas oil published by Lenoir and Hipkin [46] are compared with the predictions of the new model, as summarized in Tab. 13.…”

Section: Examplementioning

confidence: 99%

Section: Examplementioning

confidence: 99%

“…Lenoir and Hipkin [46] published the experimental standard heat of combustion of the gas oil. This property can be used for evaluating the quality of the pseudocritical data.…”

Section: Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Critical Properties of Hydrocarbon Systems

Korsten¹

1998

Chem. Eng. Technol.

View full text Add to dashboard Cite

show abstract

Use of Inspection Properties to Predict Hydrocarbon Fraction Physical Properties

Nick¹

2000

Encyclopedia of Analytical Chemistry

View full text Add to dashboard Cite

The chemical complexity of petroleum products has, until recently, precluded calculational techniques based on a definitive analysis of the molecular species involved. Instead, readily observed or easily (quick and inexpensively) measured macroscopic properties (gravity, boiling range, etc.) have been used to correlate information empirically. In some instances, the predictions have been “tweaked” on a local data‐centric basis or extended by quasi‐theoretical analysis. Recent computer‐aided advancements 134 in multivariate electromagnetic emission, NMR (nuclear magnetic resonance) and/or MS (mass spectroscopy) analyses allow for the reliable and repeatable use of much more detailed experimental data. The ability to speciate cuts by individual chemical components will revolutionize both refining and regulation of refined products in response to the availability of quality data. So why would one bother with older analysis and prediction methods? It is likely, given the operational sophistication and investment costs needed to deliver this highly speciated information properly, that the old ways will die but slowly. Most refineries and petrochemical plants try to get by with the minimum amount of expensive on‐line analyzers. Multivariate data generation is not yet at a state where it can easily be used for real‐time process or even product quality control. This barrier will exist for some time to come. The historical development of crude oil processing technology has generated a great volume of data and “general” correlations, some contradictory. Most of the data upon which these methods are based have been around for 60 or more years. Many have withstood the “test of time”, being examined and verified by numerous researchers both public and private. Some of the precision of the older data may not be as good as what is generated today, but new entries to various refinery products' databanks seem to confirm the validity of the best of the older procedures and data. The classical methods allow one to impute several otherwise unavailable characterizing pieces of data. It is essential that those engaged in the design and analysis of refinery units (which have multiple feed and product streams) become familiar with classical terminology and techniques, and eventually acquire an intuitive sense of what constitutes the “best answer” when confronted with several conflicting alternatives. The subject of this article is the proper methodology of imputing this knowledge from whatever data are at hand.

show abstract

Prediction of the ASTM and TBP distillation curves and specific gravity distribution curve for fuels and petroleum fluids

Hosseinifar

Shahverdi

2022

Can J Chem Eng

View full text Add to dashboard Cite

A predictive approach called the six-point method is developed to construct distillation curves of different petroleum fluids based on the information of six points of the distillation curve at volume percentages (5, 10, 30, 50, 70, and 90). Indeed, six diverse mathematical equations are developed, which establish relationships between the six mentioned distillation temperatures and physical properties (SG and T b ) of petroleum fluids. Having predicted the six points, a third-order polynomial curve can easily be fitted over these data. Accordingly, the six-point method is well capable of predicting the distillation curve of both American Society for Testing and Materials (ASTM) D86 and true boiling point (TBP) data for any arbitrary petroleum fluid using only their physical properties. Two auxiliary relations are also presented to estimate the physical properties that may not be available for a petroleum fraction. These relations enable the model to receive pairs of (Mw,SG) and (Mw, T b ) as input parameters, instead of (SG, T b ). A useful transfer function is also developed to convert the TBP curve predicted by the six-point method to the specific gravity distribution curve. Furthermore, a new set of experimental data obtained from the distillation test is also presented in this work. The experiment has been performed on the petroleum cuts resulting from the crude oil atmospheric distillation unit and Linear Alkyl Benzene (LAB) production unit. The model performance was carefully evaluated against a wide range of literature data as well as new experimental data provided in this study, and the mean of average absolute deviations (AAD%) values was 1.98% for about 233 samples, including 2039 data points.

show abstract

Measured enthalpies of eight hydrocarbon fractions

Abstract: Measured enthalpy values are reported for five naphthas, a kerosine, a fuel oil, and a gas oil in the temperature range 155 to 640°F for pressures up to 1400 psia.

Cited by 22 publications

References 1 publication

Critical Properties of Hydrocarbon Systems

Critical Properties of Hydrocarbon Systems

Use of Inspection Properties to Predict Hydrocarbon Fraction Physical Properties

Prediction of the ASTM and TBP distillation curves and specific gravity distribution curve for fuels and petroleum fluids

Contact Info

Product

Resources

About