281918 Hydrocarbon Mixtures: Phase Behavior, Density, and Modeling with PC-SAFT and a Volume-Translated, Cubic Equation of State

Monday, October 29, 2012
Hall B (Convention Center )
Babatunde Bamgbade1,2, Yue Wu1,2, Mark McHugh1,2, Hseen Baled1,3, Robert M. Enick4,5, Ward A. Burgess6, Deepak Tapriyal7 and Bryan D. Morreale8, (1)National Energy Technology Laboratory (NETL), Office of Research and Development, Department of Energy, Pittsburgh, PA, (2)Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, (3)Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, (4)National Energy Technology Laboratory (NETL), Office of Research and Development, Department of Energy, Pittsburgh, PA, (5)Chemical and Petroleum Engineering Department, University of Pittsburgh, Pittsburgh, PA, (6)National Energy Technology Laboratory (NETL), Office of Research and Development, Department of Energy, Pittsburgh, PA, (7)URS, Pittsburgh, PA, (8)Office of Research and Development, U.S. Department of Energy, National Energy Technology Laboratory, Pittsburgh, PA

Density and phase behavior information of normal, branched, cyclic, and aromatic hydrocarbons and their mixtures at different pressures and temperatures are needed for both industrial applications and modeling studies. In the petrochemical industry, density data on hydrocarbon mixtures with CO2 and/or water at pressures in excess of 240 MPa and temperatures of 260°C are used for the design and optimization of processes related to the production of oil, condensate and natural gas from ultra-deep wells, and the sequestration of CO2 in deep saline aquifers. In modeling studies, high-pressure and high-temperature hydrocarbon density data for pure-component hydrocarbons and their mixtures are used to test different equations of state (EOS). The present study reports experimental high-pressure, high-temperature phase behavior and density data for pure component and binary hydrocarbon mixtures.  The density data are modeled with the Peng-Robinson EOS (PR EOS), a modified Soave-Redlich-Kwong EOS that incorporates a high temperature, high pressure volume-translation (HTHP VT-SRK EOS), and the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT EOS).

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