Semi-empirical correlation for binary interaction parameters of the Peng–Robinson equation of state with the van der Waals mixing rules for the prediction of high-pressure vapor–liquid equilibrium

Fateen, Seif-Eddeen K.; Khalil, Menna M.; Elnabawy, Ahmed O.

doi:10.1016/j.jare.2012.03.004

Cited by 55 publications

(40 citation statements)

References 57 publications

(60 reference statements)

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“…Specifically, in this work, hydrocarbons with a single carbon number (SCN) are lumped into three pseudo-components, which have been tested as having a good result on the oil/CO 2 system [59,60]. The parameters of the pseudo-components were determined with a series of empirical models [61][62][63][64][65][66][67][68], and the specific data are listed in the results section.…”

Section: Peng-robinson Equation Of State (Pr Eos)mentioning

confidence: 99%

“…The binary interaction parameter (BIP) matrix is listed in Table 3 and describes the interactions among the components in the system. BIPs between hydrocarbons are set at 0 according to [61,69]. Moreover, only the parameters of oil sample A are given in Tables 2 and 3; the parameters of the other oil samples are presented in the Appendix A.…”

Section: Characterization Of the Oil Samplesmentioning

confidence: 99%

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The Effect of Oil Properties on the Supercritical CO2 Diffusion Coefficient under Tight Reservoir Conditions

Zhang

Qiao

et al. 2018

Energies

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In this paper, a generalized methodology has been developed to determine the diffusion coefficient of supercritical CO 2 in cores that are saturated with different oil samples, under reservoir conditions. In theory, a mathematical model that combines Fick's diffusion equation and the Peng-Robinson equation of state has been established to describe the mass transfer process. In experiments, the pressure decay method has been employed, and the CO 2 diffusion coefficient can be determined once the experimental data match the computational result of the theoretical model. Six oil samples with different compositions (oil samples A to F) are introduced in this study, and the results show that the supercritical CO 2 diffusion coefficient decreases gradually from oil samples A to F. The changing properties of oil can account for the decrease in the CO 2 diffusion coefficient in two aspects. First, the increasing viscosity of oil slows down the speed of the mass transfer process. Second, the increase in the proportion of heavy components in oil enlarges the mass transfer resistance. According to the results of this work, a lower viscosity and lighter components of oil can facilitate the mass transfer process.Energies 2018, 11, 1495 2 of 20 methods for the quantitative determination of the gas (N 2 , CO 2 , CH 4 [28], C 2 H 6 , C 3 H 8 , or a mixture gas) diffusion coefficient in crude oil. These methods include the pressure decay method, X-ray computer-assisted tomography (CAT) method, magnetic resonance imaging (MRI) method [29,30], dynamic drop volume analysis (DPDVA), and pore-scale network modeling method. All of these methods have advantages and flaws:Direct testing method. Hill and Lacey [31] tested the diffusion coefficient of CH 4 in isopentane with a constant pressure method in a Pressure-Volume-Temperature (PVT) system. Sigmund [32] also used this method to study the binary dense gas diffusion coefficients under reservoir conditions. Islas-Juarez et al. [33] set up an experimental device to determine the effective diffusion coefficient of N 2 in a sandpack model. They devised a special setting to sample crude oil that was dissolved with N 2 in their porous model. The samples were then analyzed by gas chromatograph, and the gas concentration in the oil phase was determined. The corresponding diffusion coefficient was determined by matching the mathematical diffusion model with the experimentally measured concentration curve. The main shortcomings of the direct testing method for the solvent diffusion coefficient are that it is both time and labor consuming, which results in an expensive process.Pressure decay method. Riazi [34] proposed a technique known as the pressure decay method based on the fact that the pressure of the gas phase in a closed diffusion cell decreases with the migration of the gas phase into the liquid phase. One of the remarkable features of this method is that it does not require costly component measurements. In the following two decades, many scholars adopted this method to test the diffus...

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Section: Peng-robinson Equation Of State (Pr Eos)mentioning

confidence: 99%

Section: Characterization Of the Oil Samplesmentioning

confidence: 99%

The Effect of Oil Properties on the Supercritical CO2 Diffusion Coefficient under Tight Reservoir Conditions

Zhang

Qiao

et al. 2018

Energies

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“…In this work the Redlich-Kwong and Peng-Robinson equations of state were used. This required the determination of additional physic-chemical parameters for pure compounds (critical conditions and acentric factors [3,[5][6][7][8], binary interaction parameters [9,10]), properties of mixtures [2,3,9,10] and analytical or numerical dependencies resulting from the mentioned equations [1,4].…”

Section: Introductionmentioning

confidence: 99%

Development and implementation of mathematical models of working mediums for gas part of combined cycle gas turbine system in Python programming environment

Trawiński

2019

E3S Web Conf.

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The working mediums in the gas turbine systems are: atmospheric air, natural gas and exhaust gases. For the detailed analysis of thermodynamic performance and values at characteristic points of the cycle it is necessary to know the relations defining: specific volume, specific isobaric and isochoric heat capacity, isentropic exponent, specific enthalpy and specific entropy. Mathematical models of thermodynamic parameters for the mentioned mediums were developed based on dependencies for mixtures of ideal and semi-ideal gases. The functions obtained for semi-ideal gas mixtures were extended by pressure correction factors derived from the Redlich-Kwong and Peng-Robinson equations of state. The thermodynamic parameters of the working mediums were dependent on the mass fractions of the components, temperature and pressure. Developed models approximated the behaviour and parameters of real gas mixtures. All calculation algorithms were implemented and optimized using appropriate numerical methods in the Python programming environment. As a result, mathematical models of working mediums for the gas part of the combined cycle gas turbine system were obtained.

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“…Several approaches, empirical as well as semi-empirical, have been presented in the literature to estimate the binary interaction parameters. These include simpler correlations using structural parameters [12][13][14][15][16]. Gasem et al [12,13] developed generalized correlations for the binary interaction parameters to represent the phase behavior of ethane + n-paraffin and CO 2 + n-paraffin systems.…”

Section: Introductionmentioning

confidence: 99%

“…Previously [15], we developed generalized correlations in terms of temperature for predicting the highpressure phase equilibria of mixtures of methane, nitrogen and carbon dioxide with water. Fateen et al [16] developed correlations for the binary parameter, C ij , for PR EOS to predict vapor-liquid equilibria for systems containing hydrocarbons and related compounds. Although these correlations are easier to implement, they are limited by their range of applicability.…”

Section: Introductionmentioning

confidence: 99%

Predicting PR EOS binary interaction parameter using readily available molecular properties

Abudour

Mohammad

Robinson

et al. 2017

Fluid Phase Equilibria

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point pressure predictions with an average absolute deviation (AAD) of 9% when compared with an AAD of 4.7% through direct regressions of the BIPs. Further, the model developed in this study was compared to our previous model by predicting bubble-point pressures of non-ideal, low-pressure binary systems. The predictions from the model developed in this study were comparable to our previous results (9.2% compared to 8.3% AAD), thus demonstrating the usefulness of the simpler approach presented in this work.

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Semi-empirical correlation for binary interaction parameters of the Peng–Robinson equation of state with the van der Waals mixing rules for the prediction of high-pressure vapor–liquid equilibrium

Cited by 55 publications

References 57 publications

The Effect of Oil Properties on the Supercritical CO2 Diffusion Coefficient under Tight Reservoir Conditions

The Effect of Oil Properties on the Supercritical CO2 Diffusion Coefficient under Tight Reservoir Conditions

Development and implementation of mathematical models of working mediums for gas part of combined cycle gas turbine system in Python programming environment

Predicting PR EOS binary interaction parameter using readily available molecular properties

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