High-pressure vapor–liquid equilibria in the nitrogen–n-pentane system

Silva-Oliver, Guadalupe; Eliosa-Jiménez, Gaudencio; García-Sánchez, Fernando; Avendaño-Gómez, Juan Ramon

doi:10.1016/j.fluid.2006.09.018

Cited by 31 publications

(14 citation statements)

References 61 publications

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“…Previously, we have reported vapor-liquid equilibrium data of N 2 þ alkane (from pentane to decane) mixtures over wide temperature ranges and at pressures up to 50 MPa. [5][6][7][8][9][10] These studies are part of a research program where phase behavior is studied for enhanced oil recovery in selected Mexican fields by high-pressure N 2 injection.…”

Section: ' Introductionmentioning

confidence: 99%

Vapor−Liquid Equilibrium Data for the Nitrogen + Dodecane System at Temperatures from (344 to 593) K and at Pressures up to 60 MPa

et al. 2011

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A static-analytical apparatus with visual sapphire windows and pneumatic capillary samplers has been used to obtain new vapor-liquid equilibrium data for the N 2 þ C 12 H 26 system over the temperature range from (344 to 593) K and at pressures up to 60 MPa. Equilibrium phase compositions and vapor-liquid equilibrium ratios are reported. All of the measured vapor-liquid equilibrium data were subject to a thermodynamic consistency test of high-pressure vapor-liquid equilibrium data involving the calculation of the vapor-phase composition from the isothermal pressure liquid phase composition data. The consistency test showed that most of the data are thermodynamically consistent. The new results were compared with solubility data reported by other authors. The comparison showed that the vapor-liquid equilibrium data obtained in this study are in good agreement with those reported in the literature. The experimental data were modeled with the PR (Peng-Robinson) and PC-SAFT (perturbedchain statistical associating fluid theory) equations of state by using one-fluid mixing rules and a single temperature-independent interaction parameter. Results of the modeling indicated that the PC-SAFT equation of state represents better the measured data of the N 2 þ C 12 H 26 system over the whole temperature, pressure, and composition range studied.

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Section: ' Introductionmentioning

confidence: 99%

Vapor−Liquid Equilibrium Data for the Nitrogen + Dodecane System at Temperatures from (344 to 593) K and at Pressures up to 60 MPa

et al. 2011

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“…On the other hand, the sensitivity analysis overall shows that the solubility of N 2 in normal alkanes increases when the temperature increases. This shows the reverse order solubility phenomenon that is the opposite of what commonly happens for a binary mixture of a supercritical component and a subcritical component 73 , 81 . The reason for this may be due to the repulsive nature of N 2 –N 2 interaction.…”

Section: Resultsmentioning

confidence: 77%

Modeling of nitrogen solubility in normal alkanes using machine learning methods compared with cubic and PC-SAFT equations of state

Madani

Mohammadi

Atashrouz

et al. 2021

Sci Rep

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Accurate prediction of the solubility of gases in hydrocarbons is a crucial factor in designing enhanced oil recovery (EOR) operations by gas injection as well as separation, and chemical reaction processes in a petroleum refinery. In this work, nitrogen (N2) solubility in normal alkanes as the major constituents of crude oil was modeled using five representative machine learning (ML) models namely gradient boosting with categorical features support (CatBoost), random forest, light gradient boosting machine (LightGBM), k-nearest neighbors (k-NN), and extreme gradient boosting (XGBoost). A large solubility databank containing 1982 data points was utilized to establish the models for predicting N2 solubility in normal alkanes as a function of pressure, temperature, and molecular weight of normal alkanes over broad ranges of operating pressure (0.0212–69.12 MPa) and temperature (91–703 K). The molecular weight range of normal alkanes was from 16 to 507 g/mol. Also, five equations of state (EOSs) including Redlich–Kwong (RK), Soave–Redlich–Kwong (SRK), Zudkevitch–Joffe (ZJ), Peng–Robinson (PR), and perturbed-chain statistical associating fluid theory (PC-SAFT) were used comparatively with the ML models to estimate N2 solubility in normal alkanes. Results revealed that the CatBoost model is the most precise model in this work with a root mean square error of 0.0147 and coefficient of determination of 0.9943. ZJ EOS also provided the best estimates for the N2 solubility in normal alkanes among the EOSs. Lastly, the results of relevancy factor analysis indicated that pressure has the greatest influence on N2 solubility in normal alkanes and the N2 solubility increases with increasing the molecular weight of normal alkanes.

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“…Vapor–liquid equilibrium for binary mixtures at different temperatures. Comparison of PC-SAFT (solid lines), PSRK (dashed lines), and SRK/MHV2 (dotted lines) to experimental data ,,, (symbols).…”

Section: Resultsmentioning

confidence: 99%

Modeling of Gas Solubility in Hydrocarbons Using the Perturbed-Chain Statistical Associating Fluid Theory Equation of State

Zheng

Wang³

et al. 2019

Ind. Eng. Chem. Res.

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Fitted functions that correlate binary interaction parameters (BIP) for the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state (EoS) with the carbon number of n-alkanes were established for gas solubility in n-alkanes using solubility data of gases in a few selected n-alkanes typically with 10–28 carbon atoms. Data screening was made to ensure accuracy and consistency of data used for parametrization and validation. The PC-SAFT EoS using the BIPs by the established fitted functions was evaluated against experimental data. It was found that the PC-SAFT EoS is quantitatively accurate for the entire homologous series of n-alkanes, regardless of whether the data of n-alkanes were used in the parametrization. It was shown that the PC-SAFT EoS successfully reproduces the two types of the temperature dependence of gas solubility: (1) gas solubility decreases with an increasing temperature and then increases; (2) gas solubility always increases with an increasing temperature. In particular, the PC-SAFT EoS is capable of predicting an experimentally observed linear relationship between gas solubility in n-alkanes and the carbon number of n-alkanes. To put it into perspective, the PC-SAFT EoS was compared to a couple of popular benchmark group-contribution (GC) EoSs, namely, the predictive Soave–Redlich–Kwang (SRK) EoS and the SRK EoS with the modified Huron–Vidal second-order mixing rule. It was found that the two models generally deliver much worse results than the PC-SAFT EoS despite their satisfactory performance for gas solubility in lighter n-alkanes. The PC-SAFT EoS and other cubic EoSs with improved accuracy in modeling of asymmetric mixtures compared to the above benchmark models were validated against experimental data of synthetic gas condensates. It was found that the PC-SAFT EoS is superior to the other models. The comparison was also made among different parametrization strategies, namely, GC-PC-SAFT, the one proposed in this study, and a four-parameter correlation for the simplified PC-SAFT EoS. It was shown that the PC-SAFT EoS parametrized in this study yields more accurate results, although the other two approaches also give satisfactory performance.

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High-pressure vapor–liquid equilibria in the nitrogen–n-pentane system

Cited by 31 publications

References 61 publications

Vapor−Liquid Equilibrium Data for the Nitrogen + Dodecane System at Temperatures from (344 to 593) K and at Pressures up to 60 MPa

Vapor−Liquid Equilibrium Data for the Nitrogen + Dodecane System at Temperatures from (344 to 593) K and at Pressures up to 60 MPa

Modeling of nitrogen solubility in normal alkanes using machine learning methods compared with cubic and PC-SAFT equations of state

Modeling of Gas Solubility in Hydrocarbons Using the Perturbed-Chain Statistical Associating Fluid Theory Equation of State

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