Abstract
Equations of state are used for predicting reservoir fluid properties in a large range of pressures and temperatures. The choice of an equation depends on the type of component, the pressure and temperature ranges and the property to be computed. In this work, four equations are tested (Peng-Robinson, Simonet-Behar Rauzy, Lee and Kesler, Chain of Rotators) for three different thermodynamic properties (molar volumes, isobaric and isochoric residual heat capacities). The accuracy of the calculations for alkanes from methane up to n-butane are expressed as deviation maps in (P,T) coordinates. The analysis is mainly focused on the behavior in the high pressure and high temperature regions. The modified version of the Lee & Kesler method provides good density results for hydrocarbons up to n-butane, but is not to be used for heavier components
Résumé
Des équations d’état permettent de prédire les propriétés des fluides de réservoirs (pétroliers) dans une large gamme de pressions et de températures. Le choix d’une équation dépend du type de fluide, des intervalles de pression et de température et de la grandeur à prévoir. Dans le travail présenté, quatre équations ont été testées (Peng-Robinson, Simonet-Behar Rauzy, Lee et Kesler, Chain of Rotators) pour trois différentes propriétés thermodynamiques (volume molaire, capacités calorifiques résiduelles isobares et isochores). La précision des calculs pour les alkanes depuis le méthane jusqu’au n-butane est présentée sur des cartes de déviation en coordonnées pression et température. L’analyse a porté principalement sur le comportement devant les hautes pressions et les hautes températures. La version modifiée de la méthode de Lee et Kesler, fournit de bons résultats pour la densité des hydrocarbures jusqu’au n-butane mais ne convient pas pour des composés plus lourds.
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De Hemptinne, JC., Barreau, A., Ungerer, P., Behar, E. (1998). Evaluation of Equations of State at High Pressure for Light Hydrocarbons. In: Caliste, JP., Truyol, A., Westbrook, J.H. (eds) Thermodynamic Modeling and Materials Data Engineering. Data and Knowledge in a Changing World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72207-3_6
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DOI: https://doi.org/10.1007/978-3-642-72207-3_6
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