2021
DOI: 10.1016/j.fluid.2021.113181
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High-pressure phase equilibria of carbon dioxide + 1,4-dioxane binary system

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Cited by 8 publications
(3 citation statements)
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“…The continuous thermodynamic method was considered to be a strictly mathematical approach to characterizing complex mixtures, as it proposed that the continuous distribution function could be used to represent the discrete molar fractions of a large number of components. Willman and Teja applied the combination of the continuous thermodynamic method combined and Patel–Teja equation to crude oils . Petitfrere et al used the semicontinuous thermodynamic method to simulate hydrocarbon systems and tested the stability of the method in multiphase equilibrium calculations. There is another common characterization method for the complex heavy oil system, the feedstock will be divided into several pseudocomponents based on the boiling point; the carbon number; or the saturate, aromatic, resin, and asphaltene (SARA) composition. Huang et al divided Cold Lake bitumen into 12 pseudocomponents using GC-simulated distillation data and predicted the phase behavior of supercritical carbon dioxide and a Cold Lake bitumen system using perturbed hard chain (PHC), Soave–Redlich–Kwong (SRK), and Peng–Robinson (PR) equations of state. Yarranton et al adopted the regular solution theory to construct a liquid–liquid equilibrium model to predict the asphaltene precipitation onset point.…”
Section: Introductionmentioning
confidence: 99%
“…The continuous thermodynamic method was considered to be a strictly mathematical approach to characterizing complex mixtures, as it proposed that the continuous distribution function could be used to represent the discrete molar fractions of a large number of components. Willman and Teja applied the combination of the continuous thermodynamic method combined and Patel–Teja equation to crude oils . Petitfrere et al used the semicontinuous thermodynamic method to simulate hydrocarbon systems and tested the stability of the method in multiphase equilibrium calculations. There is another common characterization method for the complex heavy oil system, the feedstock will be divided into several pseudocomponents based on the boiling point; the carbon number; or the saturate, aromatic, resin, and asphaltene (SARA) composition. Huang et al divided Cold Lake bitumen into 12 pseudocomponents using GC-simulated distillation data and predicted the phase behavior of supercritical carbon dioxide and a Cold Lake bitumen system using perturbed hard chain (PHC), Soave–Redlich–Kwong (SRK), and Peng–Robinson (PR) equations of state. Yarranton et al adopted the regular solution theory to construct a liquid–liquid equilibrium model to predict the asphaltene precipitation onset point.…”
Section: Introductionmentioning
confidence: 99%
“…1,3 Due to the important role of carbon dioxide in the chemical, pharmaceutical and petrochemical industries, phase equilibrium data of mixtures containing CO2 remain crucial. [4][5][6][7][8] In our previous works 3,9 , a lack of data for two kinds of binary systems containing carbon dioxide + a naphthenic compound was noticed; they are CO2 + branched naphthenes and CO2 + naphthenes that contains more than 6 carbon atoms in ring (cycloheptane, cyclooctane, etc.). Indeed, the binary systems CO2 + cyclopentane and CO2 + cyclohexane were widely investigated in the past and more details about the different studies related to these two systems can be found elsewhere.…”
Section: Introductionmentioning
confidence: 99%
“…However, experimental data are still needed for many application areas. , Even in the oil and gas sector, high-pressure phase equilibrium data as well as thermodynamic data regarding uncommon molecules (such as naphthenic components with more than six carbon atoms in the ring or with multiple aromatic rings) are welcomed. , Due to the important role of carbon dioxide in the chemical, pharmaceutical, and petrochemical industries, phase equilibrium data of mixtures containing CO 2 remain crucial. …”
Section: Introductionmentioning
confidence: 99%