An effective characterization procedure for petroleum reservoir fluids using molecular type methods and cubic equations of state

Hosseinifar, Pouya; Shahverdi, Hamid Reza

doi:10.1002/cjce.24567

Cited by 2 publications

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“…Moreover, in some cases, specific gravity data may also not exist. However, the following relations were chosen from our previous work [ 72 ] to estimate the required physical properties under conditions where some of which may be unavailable.

T_{b} ((),, M_{w}, SG) goodbreak= {|c_{1} ∙ {M_{w}}^{c_{2}} {((), \frac{3 + 2 SG}{3 - SG})}^{\frac{c_{3}}{2}} + c_{4} ∙ {M_{w}}^{c_{5}} {((), \frac{3 + 2 SG}{3 - SG})}^{\frac{c_{6}}{2}}|}^{c_{7}}

italicSG ((),, Mw, T_{b}) goodbreak= {|c_{1} ∙ {M_{w}}^{c_{2}} {T_{b}}^{c_{3}} + c_{4} ∙ {M_{w}}^{c_{5}} {T_{b}}^{c_{6}}|}^{c_{7}}

The sign | | indicates the absolute value of expressions and

c_{1}, c_{2}, \dots c_{7}

are constant coefficients of Equations () and () readjusted in this work using experimental data of about 360 petroleum fractions (light and heavy) collected from the literature. [ 61,73 ] Evaluation of the results gave an AAD of 1.2% for the normal boiling point and an AAD of 0.8% for the specific gravity data.…”

Section: Auxiliary Relations For Supporting the Six‐point Methodsmentioning

confidence: 99%

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

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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.

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