Phase Behavior Modeling of Hydrocarbon-Methanol-Water Mixtures by Peng-Robinson and SAFT Equations of State

2002 ◽  
Author(s):  
Padmakar Ayyalasomayajula ◽  
Ravi Sharma ◽  
Jacob G. Walker ◽  
Mukul M. Sharma ◽  
Gary A. Pope
Keyword(s):  
Phase Behavior ◽  
Equations Of State ◽  
Behavior Modeling

scholarly journals Curvature-Based Equation of State for Microemulsion-Phase Behavior

SPE Journal ◽  
2018 ◽  
Vol 24 (02) ◽  
pp. 647-659 ◽  
Author(s):  
V. A. Torrealba ◽  
R. T. Johns ◽  
H.. Hoteit
Keyword(s):  
Equation Of State ◽  
Phase Behavior ◽  
Oil Recovery ◽  
Industrial Applications ◽  
Data Availability ◽  
Behavior Modeling ◽  
Average Curvature ◽  
Wide Range ◽  
Definition Of ◽  
Spheroidal Geometry

Summary An accurate description of the microemulsion-phase behavior is critical for many industrial applications, including surfactant flooding in enhanced oil recovery (EOR). Recent phase-behavior models have assumed constant-shaped micelles, typically spherical, using net-average curvature (NAC), which is not consistent with scattering and microscopy experiments that suggest changes in shapes of the continuous and discontinuous domains. On the basis of the strong evidence of varying micellar shape, principal micellar curves were used recently to model interfacial tensions (IFTs). Huh's scaling equation (Huh 1979) also was coupled to this IFT model to generate phase-behavior estimates, but without accounting for the micellar shape. In this paper, we present a novel microemulsion-phase-behavior equation of state (EoS) that accounts for changing micellar curvatures under the assumption of a general-prolate spheroidal geometry, instead of through Huh's equation. This new EoS improves phase-behavior-modeling capabilities and eliminates the use of NAC in favor of a more-physical definition of characteristic length. Our new EoS can be used to fit and predict microemulsion-phase behavior irrespective of IFT-data availability. For the cases considered, the new EoS agrees well with experimental data for scans in both salinity and composition. The model also predicts phase-behavior data for a wide range of temperature and pressure, and it is validated against dynamic scattering experiments to show the physical significance of the approach.

Phase behavior modeling of asphaltene precipitation utilizing RBF-ANN approach

2019 ◽  
Vol 37 (16) ◽  
pp. 1861-1867 ◽  
Author(s):  
Mohammad Navid Kardani ◽  
Alireza Baghban ◽  
Mohammad Ehsan Hamzehie ◽  
Mohammad Baghban
Keyword(s):  
Phase Behavior ◽  
Behavior Modeling ◽  
Asphaltene Precipitation

Towards accurate phase behavior modeling for hydrogen sulfide/water mixtures

2020 ◽  
Vol 521 ◽  
pp. 112691
Author(s):  
Shiyu Yin ◽  
Zhiyuan Wang ◽  
Chang Lu ◽  
Huazhou Li
Keyword(s):  
Hydrogen Sulfide ◽  
Phase Behavior ◽  
Behavior Modeling

Phase Behavior Modeling of Bitumen and Light Normal Alkanes and CO2 by PR-EOS and CPA-EOS

2015 ◽  
Vol 30 (1) ◽  
pp. 515-525 ◽  
Author(s):  
Tereza Jindrová ◽  
Jiří Mikyška ◽  
Abbas Firoozabadi
Keyword(s):  
Phase Behavior ◽  
Behavior Modeling ◽  
Normal Alkanes
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