Prediction of Molecular Weight of Petroleum Fractions

Goossens, Adriaan G.

doi:10.1021/ie950484l

Cited by 38 publications

(25 citation statements)

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“…These values are much lower than 23% and 35% relative deviation registered for the extrapolated by Riazi's distribution model molecular weights. Boiling points and molecular weights of petroleum fractions are strongly related and this relation is documented in several correlations (Winn, 1955;Kesler and Lee, 1976;Altgelt and Boduszynski, 1992;Goossens, 1996;Riazi, 2005). In all molecular weight correlations boiling point and density (specific gravity) are the only petroleum properties involved in the equations.…”

Section: Molecular Weight Distributionmentioning

confidence: 95%

“…The data in Table 3 also contain information about density and sulfur content of the crudes from which the atmospheric residual oils were obtained after distillation according to ASTM D-2892 performed in TBP Euro Dist System from ROFA Deutschland GmbH. Goossens's (1996) correlation was used to calculate the molecular weight of the narrow cuts of the studied atmospheric residual oils:…”

Section: Methodsmentioning

confidence: 99%

“…Among all physicochemical properties of heavy oils the distillation and density (specific gravity) curves have proved to contain the most valuable information about heavy oil characterization. Having information of oil boiling point and density distribution the properties like molecular weight, critical properties, refractive index, aromatic carbon and hydrogen content, and the content of saturates plus mononuclear aromatics can be predicted by the use of empirical correlations (Altgelt and Boduzsynski, 1992;Goossens, 1996;Choudhary and Meier, 2008;Riazi, 2005). However, conventional distillation methods such as ASTM D-5236 and ASTM D-1160, which are based on physical separation, are limited to petroleum fractions boiling up to about 600 • C (1100 • F) AEBP .…”

Section: Introductionmentioning

confidence: 99%

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An Investigation on the Feasibility of Simulating the Distribution of the Boiling Point and Molecular Weight of Heavy Oils

Stratiev

Dinkov

Shishkova

et al. 2015

Petroleum Science and Technology

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Thirty-four heavy oils originating from the four main groups of crude oils around the world-I group: light, low sulfur (30-400 API; S ≤ 0.5% mass); II group: light sulfur (30-400 API; S = 0, 5-1.5% mass); III group: heavy, high sulfur (15-300 API; S = 1.5, 3.1% mass); IV group: extra heavy, high sulfur (150 API, S ≥ 3% mass)-were investigated for distribution of boiling point and molecular weight. The three-parameter distribution model of Riazi and the four-parameter Webull extreme distribution function were tested to approximate the distribution of the heavy oil properties mentioned. It was found that the Weibull extreme more accurately approximates the heavy oil boiling point distribution up to temperatures of 750 • C, and molecular weight distribution up to 955 g/mol. To approximate distribution of higher values extrapolation is needed. Riazi's distribution model was found to be more precise in the extrapolation than the Weibull extreme.

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Section: Molecular Weight Distributionmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Investigation on the Feasibility of Simulating the Distribution of the Boiling Point and Molecular Weight of Heavy Oils

Stratiev

Dinkov

Shishkova

et al. 2015

Petroleum Science and Technology

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“…The accurate prediction of the molecular weight of petroleum fractions as a function of the 50 wt % true boiling point (TBP) and the density was only recently discussed by Goossens (1996). Any satisfactory correlation for the hydrogen content must at least take into account the accurate average chain length or molecular weight of an oil fraction.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Hydrogen Content of Petroleum Fractions

Goossens¹

1997

Ind. Eng. Chem. Res.

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A simple and new method for the accurate prediction of the hydrogen content of petroleum fractions is presented. The new method is inferred from the concept of the molar additivity of the structural contributions of the carbon types in the average hydrocarbon molecule. It requires only basic physical properties such as the density and refractive index at 20°C, and the 50 wt % true boiling point. The influence of heteroatoms and olefinic bonds was found to be largely implicit, except for oxygen. By its fundamental basis this new correlation features an unparalleled precision equivalent to that of the most accurate but time-consuming analytical methods. This is demonstrated by an included data set.

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“…The molecular weight and hydrogen 312 content were determined with the density, refractive index, and 50% distillation temperature in simulated distillation with the correlations reported in [3,4].…”

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confidence: 99%

Yield of products from catalytic cracking of vacuum gasoils

Stratiev

Галкин

Shishkova

et al. 2007

Chem Technol Fuels Oils

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In catalytic cracking of vacuum gasoils, the yields of products are correlated with their hydrogen content. A correlation that allows predicting the yields of products of this process was elaborated based on the results of cracking of 11 gasoils of different origin and data on their density, refractive index, and 50% distillation temperature. However, it is not possible to predict the octane number of the naphtha obtained in cracking with the group hydrocarbon composition of the feedstock.Feedstock consumption is one of the most important factors that determine an oil company's profitability.For this reason, feedstock of the optimum composition and quality must be selected for each oil refinery (OR). The cost of the feedstock for each given process is also determined by these parameters, particularly the content of light cuts.The quality of the feedstock cuts going to conversion units -catalytic cracking, hydrocracking, visbreaking, coking, etc., is due to the degree of their conversion into products of higher cost. The efficiency of catalytic cracking is inarguably one of the most important processes in oil refining and is basically a function of the chemical nature of the feedstock. According to the mass spectroscopic data in [1] obtained in conversion of nine vacuum gasoils, the yield of naphtha cut is maximum, and the yields of other products are correlated with the alkane, cycloalkane, and monocyclic arene content in the feedstock. It was later shown in [2] that the quality of catalytic feedstock can be evaluated by empirical methods based on the data from regularly performed analyses. We quantitatively evaluated the quality of vacuum gasoils from different crudes as catalytic feedstock.The physicochemical characteristics of these gasoils are reported in Table 1. The molecular weight and hydrogen 312 content were determined with the density, refractive index, and 50% distillation temperature in simulated distillation with the correlations reported in [3,4].The experiments were conducted on a MAT (Micro Activity Test) laboratory unit with the method in ASTM D 3907-92. The conversion was varied by varying the catalyst:feedstock mass ratio from 2 to 6. The methodology of the experiments is described in detail in [2]. The feedstock was cracked in an equilibrium industrial catalyzer with the following physicochemical properties: Chemical composition, wt. % Al 2 O 3 47.2 Na 2 O 0.17 Re 2 O 3 1.34 Metal content vanadium, ppm 1074 nickel, ppm 328 iron, wt. % 0.68 Microactivity: conversion, wt. % 71 Average particle size, mm 71 Bulk density, kg/m 3 920Pore volume, cm 3 /g 0.3 Total specific surface area, m 2 /g 66The necessity of comparing different feedstock at the maximum yield of naphtha cut was demonstrated in [1]. A comparison at constant conversion or constant yield of coke cannot be conclusive, since each feedstock has its own optimum degree of conversion.The feedstock was cracked at different catalyst:feedstock ratios and constant (30 sec) contact time of the catalyst with the feedstock. The possibility of us...

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Prediction of Molecular Weight of Petroleum Fractions

Cited by 38 publications

References 1 publication

An Investigation on the Feasibility of Simulating the Distribution of the Boiling Point and Molecular Weight of Heavy Oils

An Investigation on the Feasibility of Simulating the Distribution of the Boiling Point and Molecular Weight of Heavy Oils

Prediction of the Hydrogen Content of Petroleum Fractions

Yield of products from catalytic cracking of vacuum gasoils

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