Thermal conversion (visbreaking) of heavy Iraqi residue

Al-Soufi, H.H.; Savaya, Z.F.; Mohammed, H.K.; Al-Azawi, I.

doi:10.1016/0016-2361(88)90225-6

Cited by 31 publications

(15 citation statements)

References 1 publication

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“…Some studies are reported with one feed and one product lump [7][8][9], whereas numbers of lumps have been reported up to 16 [10]. The criteria for lumping have been based upon statistical information [11,12], characteristic information [13] or pseudo components [6,14,15].…”

Section: Lumping Schemesmentioning

confidence: 99%

Reaction pathways and product yields in mild thermal cracking of vacuum residues: A multi-lump kinetic model

Singh

Kumar

Saxena

et al. 2005

Chemical Engineering Journal

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Section: Lumping Schemesmentioning

confidence: 99%

Reaction pathways and product yields in mild thermal cracking of vacuum residues: A multi-lump kinetic model

Singh

Kumar

Saxena

et al. 2005

Chemical Engineering Journal

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“…Many reports show that first-order reaction can be acceptably applied to pyrolysis, and therefore, the pyrolysis of VR in this study is assumed to follow a first-order reaction, according to the following equation [7,[20][21][22][23][24][25].…”

Section: Kinetic Analysis Methodsmentioning

confidence: 99%

Kinetic analysis using thermogravimetric analysis for nonisothermal pyrolysis of vacuum residue

Shin

Nho

et al. 2016

J Therm Anal Calorim

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Pyrolysis is a relatively simple upgrading process that can produce light oil from unconventional oil and heavy residue. For effective utilization of pyrolysis processes, it is important to understand its kinetic parameters. In this study, the nonisothermal pyrolysis of vacuum residue (VR) was analyzed using a thermogravimetric analyzer and the activation energy of the VR pyrolysis reaction was estimated by several theoretical methods. It was found that isoconversional methods were more suitable than nonisoconversional methods for analyzing complex pyrolysis reaction of VR. The Friedman method, a differential isoconversional method, is thought to be the most appropriate among the various methods tested because it can describe the complexity of the pyrolysis reaction of VR and there is no need for information of exact reaction model and mathematical assumptions for temperature integral, which can raise systematic errors in the kinetic analysis. Finally, the kinetic parameters of VR pyrolysis were determined based on the results of Friedman analysis and distributed activation energy model (DAEM), and VR pyrolysis behavior was well expressed with the kinetic parameters obtained from DAEM analysis.

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“…The success of the lumped model depends on the choice of the number of lumps since more lumps result in more accurate predictions. In the current models, although some studies have been reported with one feed and one product lump [4][5][6], systems with up to 16 lumps have been reported [2]. The lumped models have been proven to be very useful for the prediction of products yield, analysis of the process, etc.…”

Section: Introductionmentioning

confidence: 93%

“…The reaction rate equations are differential equations like Eqs. (4)(5)(6)(7)(8) that are solved by using the Runge-Kutta method. Fig.…”

Section: Case 1: Prediction Of Yields Of Productsmentioning

confidence: 99%

The Study of Molecular Modeling for Heavy Oil Thermal Cracking

Liang

Zhang

2007

Chem Eng & Technol

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The tighter specifications for refining products have gradually led refineries to focus on the molecular modeling of petroleum processing. In this work, a systematic methodology is presented for the molecular modeling of heavy oil thermal cracking (HOTC). This research which is based on a microscopic understanding provides a basis to achieve better design, management, optimization, and control of HOTC. The molecular information of HOTC product streams is represented in the form of a MTHS (molecular type homologous series) matrix. From consideration of the complexity of structural isomers in heavy petroleum fractions, the heavy molecules in a homologous series are grouped to reduce the dimension of the MTHS matrix. Transformation correlations are developed to capture the molecular properties of each homologous series in the MTHS matrix and to interrelate the molecular composition and bulk properties of the product streams. The HOTC process model was built on the basis of the molecular representation provided by the MTHS matrix and the transformation correlations. Two case studies are illustrated for validation of the proposed model and methodology.

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Thermal conversion (visbreaking) of heavy Iraqi residue

Cited by 31 publications

References 1 publication

Reaction pathways and product yields in mild thermal cracking of vacuum residues: A multi-lump kinetic model

Reaction pathways and product yields in mild thermal cracking of vacuum residues: A multi-lump kinetic model

Kinetic analysis using thermogravimetric analysis for nonisothermal pyrolysis of vacuum residue

The Study of Molecular Modeling for Heavy Oil Thermal Cracking

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