FORECASTING THE COEFFICIENTS OF MAXIMUM GAS AND CONDENSATE RECOVERY OF A GAS CONDENSATE DEPOSIT USING MATHEMATICAL MODELING
Keywords:
aggregate model, component composition, material balance, process mode, “average” well, permissible depression, gas recovery coefficient, condensate recovery coefficientAbstract
The article proposes a method for predicting the coefficients of gas and condensate recovery of a gas condensate reservoir with a lack of initial geological and physical data. The method is based on the use of approximate aggregated mathematical models and experimental dependencies describing the physicochemical processes occurring in a gas condensate reservoir during depletion development. As initial data, it is proposed to use a limited number of physicochemical properties of the productive formation and formation fluids such as: the component composition of formation gas and its physicochemical properties, the absolute permeability of reservoir rocks, the initial temperature and pressure conditions of the reservoir, the design parameters of producing wells and the parameters of their operation. An example
of the application of this method for predicting the coefficients of maximum gas and condensate recovery of the gas part of a reservoir of one of the oil and gas condensate fields in the Republic of Uzbekistan being developed today is given.
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