algorithm for determining the permeability and compaction properties of a gas condensate reservoir based on a binary model

The paper proposes a new technique for the well-test data interpretation using two different steady-state flow tests of gas condensate well to determine the initial value of the effective reservoir permeability and the permeability change factor. the described technique has been developed on the base of the binary filtration model of a multicomponent hydrocarbon system which considers the gas-condensate mixture as a composition of two pseudo components, taking into account the phase transformation of pseudo components and the mass exchange between the phases. the implementation of the new method requires data on well flow rates measured in two different steady-state conditions. the presented algorithm is verified on a number of examples (including real data) covering a wide range of changes in reservoir pressure and reservoir compaction factor. the results of a number of numerical experiments have confirmed the high reliability of the proposed technique.