Prediction of Reid Vapor Pressure of Petroleum Fuels

Riazi, M.R.; Albahri, Tareq A.; Alqattan, A.H.

doi:10.1081/lft-20009686225

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…This method uses the refractive index as a basic characteristic parameter to predict the AP of the petroleum fraction [14,19]:…”

Section: Albahri Methodsmentioning

confidence: 99%

“…These 142 data points can be recorded in detail in Appendix A, Table A1. By employing the quasi-Newton method and using the average boiling point and specific gravity of the petroleum fraction, the objective functions of f (MeABP) and g(SG) were regressed [21,22] to obtain the parameters, and the correlations are presented in Equations (18) and (19), respectively.…”

Section: Proposal Of New Model For Apmentioning

confidence: 99%

“…Therefore, when the initial AP value is used, the parameters of the mean average boiling point and specific gravity (following a fitting correction) are employed. This is conducted in a proportional manner, as indicated in Equation 20, where a and b are weighting factors, representing the determined proportions of Equations (18) and (19) in the initial AP value:…”

Section: Proposal Of New Model For Apmentioning

confidence: 99%

“…A calculation flow chart for the new AP estimation algorithm is presented in Figure 2. The estimation steps are as follows: First, according to the values of the average boiling point and specific gravity, Equations 18, (19), and (21) are applied to calculate f (MeABP), g(SG), and h(MeABP, SG), respectively. Thereafter, the calculated value of the previous step is incorporated into Equation 20to obtain the initial value required for the iteration, and the iterative calculation is started.…”

Section: Application Of New Algorithmmentioning

confidence: 99%

“…As is shown in Equations (18), (19), and (22)- (25), the models presented in this paper involve 21 parameters. To facilitate differentiation, these parameters are named by different variables.…”

Section: Cross-validationmentioning

confidence: 99%

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Development of New Algorithm for Aniline Point Estimation of Petroleum Fraction

et al. 2019

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The aniline point (AP) is an important physical property of a petroleum fraction. The AP gives an indication of the aromatic hydrocarbon content in a hydrocarbon mixture and can also be an indicator of the ignition point of a diesel fraction. In this study, common estimation methods were introduced and evaluated, and their limitations were analyzed. Multiple linear regression was used in constructing a quantitative function to solve for the AP using the average boiling point and specific gravity. The iterative modification algorithm of the ternary interaction algorithm was used to obtain the predicted value of the petroleum fraction AP, and the proposed algorithm was tested using 127 actual petroleum fractions. The average estimation deviation of the proposed method was 3.55%; hence, compared to the commonly used estimation methods, the prediction accuracy was significantly improved. This method offers important practical value in the calculation of the petroleum fraction AP and other petroleum fraction properties, thereby providing reference significance.

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“…This method uses the refractive index as a basic characteristic parameter to predict the AP of the petroleum fraction [14,19]:…”

Section: Albahri Methodsmentioning

confidence: 99%

Section: Proposal Of New Model For Apmentioning

confidence: 99%

Section: Proposal Of New Model For Apmentioning

confidence: 99%

Section: Application Of New Algorithmmentioning

confidence: 99%

Section: Cross-validationmentioning

confidence: 99%