Effect of components composition of condensate reservoirs on well test analysis: An experimental design approach

摘要

Gas condensate is a challenging fluid in reservoir due to difficulties arising from condensate dropout around the well. Condensate blockage complicates simulating the behavior of this fluid especially in well testing. The common approach in gas condensate well testing is using gas single-phase pseudo-pressure. In this study, statistical approach is applied to well test analysis in order to investigate the effect of fluid composition on reservoir behavior. Mixture design controls the number of otherwise numerous well testing of fluids to a limited number. The output data of well testings are then used for multivariable regression to create proxy models of reservoir and fluid properties including initial pressure of reservoir, gas permeability in condensate zone and maximum liquid dropout of fluids. Results show that proposed model efficiently simulates mentioned properties with high R-squared values. Results also show that the intensity of condensate formation in the reservoir is a strong function of rich components composition in the reservoir.