Modeling phase equilibria for acid gas mixtures using the CPA equation of state. I. Mixtures with H2S

Authors

  • Ioannis Tsivintzelis,

    1. Dept. of Chemical and Biochemical Engineering, Center for Energy Resources Engineering (CERE), Technical University of Denmark, DK-2800 Lyngby, Denmark
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  • Georgios M. Kontogeorgis,

    Corresponding author
    1. Dept. of Chemical and Biochemical Engineering, Center for Energy Resources Engineering (CERE), Technical University of Denmark, DK-2800 Lyngby, Denmark
    • Dept. of Chemical and Biochemical Engineering, Center for Energy Resources Engineering (CERE), Technical University of Denmark, DK-2800 Lyngby, Denmark
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  • Michael L. Michelsen,

    1. Dept. of Chemical and Biochemical Engineering, Center for Energy Resources Engineering (CERE), Technical University of Denmark, DK-2800 Lyngby, Denmark
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  • Erling H. Stenby

    1. Dept. of Chemical and Biochemical Engineering, Center for Energy Resources Engineering (CERE), Technical University of Denmark, DK-2800 Lyngby, Denmark
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Abstract

The Cubic-Plus-Association (CPA) equation of state is applied to a large variety of mixtures containing H2S, which are of interest in the oil and gas industry. Binary H2S mixtures with alkanes, CO2, water, methanol, and glycols are first considered. The interactions of H2S with polar compounds (water, methanol, and glycols) are modeled assuming presence or not of cross-association interactions. Such interactions are accounted for using either a combining rule or a cross-solvation energy obtained from spectroscopic data. Using the parameters obtained from the binary systems, one ternary and three quaternary mixtures are considered. It is shown that overall excellent correlation for binary mixtures and satisfactory prediction results for multicomponent systems are obtained. There are significant differences between the various modeling approaches and the best results are obtained when cross association is explicitly accounted for, especially using the cross-association energy from independent experimental studies rather than from combining rules. © 2010 American Institute of Chemical Engineers AIChE J, 2010

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