Optimization of the Reduced Temperature Associated with Peng–Robinson Equation of State and Soave–Redlich–Kwong Equation of State To Improve Vapor Pressure Prediction for Heavy Hydrocarbon Compounds

Abstract

A pragmatic technique has been developed to optimize the reduced temperature for the acentric factor associated with the Peng−Robinson equation of state (PR-EOS) and the Soave−Redlich−Kwong equation of state (SRK-EOS) by minimizing the deviation between the measured and calculated vapor pressures for nonhydrocarbon compounds and hydrocarbon compounds including heavy alkanes up to n-tritetracontane (n-C 43 H 88 ) under different conditions. All the compounds are divided into four categories, that is, lightsaturated hydrocarbons, heavy-saturated hydrocarbons, aromatic compounds, and other compounds, among which the first three categories are used to examine their effects on the optimum reduced temperature for the entire database. By redefining the reduced temperature, three existing alpha functions together with the newly developed alpha functions for the PR-EOS as well as one existing alpha function and the newly developed alpha functions for the SRK-EOS are then used to evaluate their respective accuracy of predicting vapor pressures for pure substances. As for the newly expanded database with 1880 data points, the reduced temperature has its optimum value of 0.59 for the acentric factor for both the PR-EOS and SRK-EOS corresponding to the minimum absolute average relative deviations (AARDs) of 4.04% and 4.08%, respectively. Therefore, it is recommended that a reduced temperature of 0.60 be used for predicting the vapor pressures of heavy hydrocarbon compounds and their mixtures, yielding AARDs of 4.08% and 4.12% and maximum absolute relative deviations (MARDs) of 77.20% and 79.74% for the PR-EOS and SRK-EOS, respectively. Among the three subdivided categories, the heavysaturated hydrocarbons impose the largest effect on the optimum reduced temperature for the entire database, while the aromatic compounds take the second place, and the light-saturated hydrocarbons have the smallest effect. The sensitivity of the calculated alpha functions reduces with an increase in the reduced temperature, while it remains no change as the acentric factor varies. Finally, the newly developed alpha functions all lead to the minimum AARDs for the corresponding compound categories or for the entire database compared with existing alpha functions except for the light-saturated hydrocarbons. Also, the newly developed alpha function leads to the most accurate predictions of vaporization enthalpy with an AARD of 1.93% and MARD of 8.03% for the PR-EOS as well as an AARD of 2.02% and MARD of 7.76% for the SRK-EOS compared with the existing alpha functions.

Quantification of Viscosity for Solvents−Heavy Oil/Bitumen Systems in the Presence of Water at High Pressures and Elevated Temperatures

“…A newly modified alpha function proposed by Chen and Yang, 36 which is found to more accurately predict the vapor pressure for heavy hydrocarbon compounds by redefining the…”

“…A newly modified alpha function proposed by Chen and Yang, which is found to more accurately predict the vapor pressure for heavy hydrocarbon compounds by redefining the acentric factor at reduced temperature of 0.6, is adopted for nonwater components in this study and expressed as follows: …”

Prediction of Equilibrium Interfacial Tension between CO2 and Water Based on Mutual Solubility

“…A newly modified alpha function for hydrocarbon and non-hydrocarbon compounds proposed by Chen and Yang, which is calculated with the acentric factor redefined at reduced temperature of 0.6 and can more accurately predict the vapor pressures for pure substances, is used for CO 2 in this study and expressed as follows: …”

Phase Equilibrium and Density of CO2 + Acetic Acid Systems from 308.15 to 338.15 K and 15 to 45 MPa

“… 28 Recently, Chen and Yang optimized the reduced temperature for acentric factor in α function associated with PR EOS and SRK EOS to improve vapor pressure prediction for heavy hydrocarbon compounds. 29 These new α functions can significantly improve the prediction accuracy of phase behavior not only for small molecules but also for complex heavy hydrocarbon components.…”

“…Since then, Li and Yang combined the advantages of the two types and obtained a new α function that could better predict the vapor pressure of both pure substance and alkane solvent–CO 2 –heavy oil systems . Recently, Chen and Yang optimized the reduced temperature for acentric factor in α function associated with PR EOS and SRK EOS to improve vapor pressure prediction for heavy hydrocarbon compounds . These new α functions can significantly improve the prediction accuracy of phase behavior not only for small molecules but also for complex heavy hydrocarbon components.…”