Correlation for predicting the molecular weight of Brazilian petroleum residues and cuts: An application for the simulation of a molecular distillation process

Liñan, Lamia Zuñiga; Lima, Nádson Murilo Nascimento; Maciel, Maria Regina Wolf; Filho, Rubens Maciel; Medina, L.C.; Embiruçu, Marcelo

doi:10.1016/j.petrol.2011.04.014

Cited by 22 publications

(13 citation statements)

References 14 publications

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“…Supporting Information for this article can be found under DOI: 10.1002/ceat.202000577. This section includes additional references to primary literature relevant for this research [50][51][52][53][54][55][56].…”

Section: Supporting Informationmentioning

confidence: 99%

Catalytic Cracking of Diverse Vacuum Residue Hydrocracking Gas Oils

et al. 2021

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Ten gas oils and one deasphalted hydrocracked vacuum residue obtained from ebullated‐bed vacuum residue hydrocracking have been cracked in a laboratory advanced catalyst evaluation unit on a commercial fluid catalytic cracking (FCC) catalyst. It was found that the eleven secondary heavy oils obey second‐order reaction kinetics. The relations between gas oil properties and FCC conversion, product yields, and quality were evaluated by means of intercriteria analysis. It could be stated that the FCC conversion strongly correlates with the gas oil Kw characterization factor. The product yields were established to depend on the secondary gas oil carbon atoms number, aromatic ring index, paraffinic and aromatic carbon content, and the total aromatics content.

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Section: Supporting Informationmentioning

confidence: 99%

Catalytic Cracking of Diverse Vacuum Residue Hydrocracking Gas Oils

et al. 2021

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“…The molecular weight of petroleum and its fractions was shown in several developed correlations that depended on average boiling point, or T50%, and specific gravity (SG), or density [24][25][26][27]. Therefore, the T 50% of the VR, along with the VR's SG, can be used to estimate the VR molecular weight.…”

Section: Maximal Molecular Weight G/molmentioning

confidence: 99%

Empirical Modeling of Viscosities and Softening Points of Straight-Run Vacuum Residues from Different Origins and of Hydrocracked Unconverted Vacuum Residues Obtained in Different Conversions

et al. 2022

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The use of hydrocracked and straight-run vacuum residues in the production of road pavement bitumen requires a good understanding of how the viscosity and softening point can be modeled and controlled. Scientific reports on modeling of these rheological properties for hydrocracked and straight-run vacuum residues are scarce. For that reason, 30 straight-run vacuum residues and 33 hydrocracked vacuum residues obtained in a conversion range of 55–93% were investigated, and the characterization data were employed for modeling purposes. An intercriteria analysis was applied to investigate the statistically meaningful relations between the studied vacuum residue properties. It revealed that the straight-run and hydrocracked vacuum residues were completely different, and therefore their viscosity and softening point should be separately modeled. Through the use of nonlinear regression by applying CAS Maple and NLPSolve with the modified Newton iterative method and the vacuum residue bulk properties the viscosity and softening point were modeled. It was found that the straight-run vacuum residue viscosity was best modeled from the molecular weight and specific gravity, whereas the softening point was found to be best modeled from the molecular weight and C7-asphaltene content. The hydrocracked vacuum residue viscosity and softening point were modeled from a single property: the Conradson carbon content. The vacuum residue viscosity models developed in this work were found to allow prediction of the asphaltene content from the molecular weight and specific gravity with an average absolute relative error of 20.9%, which was lower of that of the model of Samie and Mortaheb (Fuel. 2021, 305, 121609)—32.6%.

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“…This is an indicator that Equation ( 40) can be used to predict VGO saturate content from density, molecular weight and refractive index and also for the verification of the correctness of the performance of the SARA analysis. In the case of missing data for the molecular weight or refractive index T 50% , Equation ( 30) can be used to estimate the refractive index and the molecular weight reported by the correlations reported in [23,56,57]. The characterization of petroleum fractions by empirical models, which relate the oil bulk physicochemical properties to the content of important structural parameters, has been developed for the last 70 years (from 1951 [41] with the n-d-M method to 2021 with ARI [27].…”

Section: Validation Of the Developed Model For Prediction Of Vgo Saturate Contentmentioning

confidence: 99%

Empirical Models to Characterize the Structural and Physiochemical Properties of Vacuum Gas Oils with Different Saturate Contents

et al. 2021

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Inter-criteria analysis was employed in VGO samples having a saturate content between 0.8 and 93.1 wt.% to define the statistically significant relations between physicochemical properties, empirical structural models and vacuum gas oil compositional information. The use of a logistic function and employment of a non-linear least squares method along with the aromatic ring index allowed for our newly developed correlation to accurately predict the saturate content of VGOs. The empirical models developed in this study can be used not only for obtaining the valuable structural information necessary to predict the behavior of VGOs in the conversion processes but can also be utilized to detect incorrectly performed SARA analyses. This work confirms the possibility of predicting the contents of VGO compounds from physicochemical properties and empirical models.

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Correlation for predicting the molecular weight of Brazilian petroleum residues and cuts: An application for the simulation of a molecular distillation process

Cited by 22 publications

References 14 publications

Catalytic Cracking of Diverse Vacuum Residue Hydrocracking Gas Oils

Catalytic Cracking of Diverse Vacuum Residue Hydrocracking Gas Oils

Empirical Modeling of Viscosities and Softening Points of Straight-Run Vacuum Residues from Different Origins and of Hydrocracked Unconverted Vacuum Residues Obtained in Different Conversions

Empirical Models to Characterize the Structural and Physiochemical Properties of Vacuum Gas Oils with Different Saturate Contents

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