Release:
2019, Vol. 5. №2About the authors:
Danila A. Kiselev, Postgraduate Student, Department of Modeling of Physical Processes and Systems, Institute of Physics and Technology, University of Tyumen; danilakis@rambler.ruAbstract:
To date, hard-to-recover reserves are being actively developed; their majority are gas condensate fields. During the development of the field, the reservoir pressure drops, which leads to the retrograde condensation. Predicting these processes requires calculating phase behavior of hydrocarbons. The existing calculation algorithm requires long and expensive laboratory experiments to determine the properties of a group of heavy components. In many gas condensate fields, there was absence of studies of reservoir fluids at the initial stages of development. Additional laboratory studies are currently impossible due to the changes in the component composition during the development. Therefore, it is necessary to adapt the existing classical algorithm for fields with uncertainty of the initial data.
To solve this problem, it is necessary to determine a set of initial field data that characterizes the phase state of the reservoir fluid during development in a unique way. The authors have developed a consistent method of adapting the model of a multicomponent system to field data. The calculations used the Peng-Robinson cubic equation of state and the Lewis theory of a simplified description of phase equilibrium. Using the proposed algorithm, the content of gas condensate in the formation gas is calculated to predict the final condensate recovery factor. The dependence of the critical parameters of the group of heavy hydrocarbons on the main parameters of the phase transition is established and the necessary field data are identified. The algorithm was adopted for Zaykinsko-Zorinskoye field on the history of the development.
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