Abstract

Abstract Predicting the performance of individual oil wells is of great importance to petroleum engineering for continuous production optimization in the field. This study proposes a new Inflow Performance Relationships (IPR) for naturally fractured gas condensate reservoirs. Existing IPR models are commonly used for conventional solution gas drive reservoirs. The purpose will be to generate inflow performance relationships (well flowing pressure vs. flow rate) for naturally fractured condensate reservoirs as a function of the average reservoir pressure and fractured reservoir parameters including storage capacity (fracture storativity) and inter porosity flow parameter (interporosity flow coefficient). A dual porosity/dual permeability compositional equation of state simulator is used in this study. A regression program is used to fit the IPR curves and to obtain the corresponding equations. As a result, rational functions have been developed for the IPR curves for gas and oil phases. These correlations are functions of pressure drawdown and reservoir depletion. Additional correlations for predicting future maximum gas and oil rates were developed. The behavior of the future gas rate shows linear relationships between average reservoir pressure ratio and the maximum gas rate ratio. However, a highly non-linear behavior was observed for the oil phase. Additionally, fluid representing extreme types of condensates were also considered. Condensates with high fraction of light composition shows a hump and three distinct regions with different slopes in future maximum rate curves. In the other case where the composition of the condensate contains heavy components has shown nonlinear curves.

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