AlHammadi Ali A, Abutaqiya Mohammed I L
Chemical Engineering Department, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi127788, United Arab Emirates.
Center for Catalysis and Separations, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi127788, United Arab Emirates.
ACS Omega. 2023 Jan 9;8(3):3270-3277. doi: 10.1021/acsomega.2c06813. eCollection 2023 Jan 24.
Improved correlations among critical temperature, critical pressure, and acentric factor are developed for an extensive database of hydrocarbons. The correlations rely on measurements of molecular weight and refractive index at ambient conditions and utilize the concept of the aromatic ring index (ARI) recently developed by Abutaqiya et al. as a distinctive characterization factor for nonpolar hydrocarbons [Abutaqiya M. I. L.Aromatic Ring Index (ARI): A Characterization Factor for Nonpolar Hydrocarbons from Molecular Weight and Refractive Index. Energy Fuels2021, 35( (2), ), 1113-1119.]. The new correlations are then implemented for modeling the phase behavior of a variety of oils under miscible gas injection in a fully predictive manner using the Peng-Robinson equation of state (PR EOS). The results indicate that the proposed modeling framework yield accurate predictions for bubble pressure of oil/gas blends with an average absolute deviation of 6.4% for a wide variety of oils and injection gases including lean, rich, HS, CO, and N. Additionally, an interesting crossover behavior in the phase envelope of live oils under CO injection is observed using PR EOS. This behavior has been previously reported in the literature for modeling results using PC-SAFT EOS and seems to be characteristic of CO.
针对大量烃类数据库，开发了临界温度、临界压力和偏心因子之间改进的关联式。这些关联式依赖于在环境条件下对分子量和折射率的测量，并利用了Abutaqiya等人最近开发的芳香环指数（ARI）概念，作为非极性烃类的独特表征因子[Abutaqiya M. I. L. 芳香环指数（ARI）：基于分子量和折射率的非极性烃类表征因子。《能源与燃料》2021年，35( (2), ), 1113 - 1119。]。然后，使用Peng-Robinson状态方程（PR EOS），以完全预测的方式将新的关联式应用于模拟各种油在混相气体注入下的相行为。结果表明，所提出的建模框架对油/气混合物的泡点压力能给出准确预测，对于包括贫气、富气、H₂S、CO₂和N₂在内的各种油和注入气体，平均绝对偏差为6.4%。此外，使用PR EOS观察到在CO₂注入下活油的相包络中存在有趣的交叉行为。这种行为先前在文献中已有报道，是使用PC-SAFT EOS的建模结果，似乎是CO₂的特征。
