The estimation of hydrocarbon reserves in carbonate reservoirs is associated with a range of complex challenges that affect the profitability of field development. One of the key challenges is the accurate estimation of the key parameters influencing the economic efficiency of the project. Carbonate reservoirs are very complex in geological structure, and their behavior is difficult to predict due to their high heterogeneity. For instance, results of laboratory studies of porosity, permeability, capillary pressure, relative permeability, and other properties can vary significantly even in closely selected core samples. Additionally, the variability in mineralogical composition and pore structure complicates the determination of porosity, permeability, and water saturation from well logging. This uncertainty in petrophysical properties can lead to significant deviations in reservoir models, influencing both production forecasts and economic calculations. The paper discusses possible methods of reducing uncertainty in petrophysical properties, saturation, relative permeability, and properties of carbonate reservoirs and their impact on the project's economic efficiency. The use of modern methods of analysis enables to minimize the impact of these factors on the result. To optimize the process, scripts were developed that enable to export the data from the hydrodynamic model, calculate key economic parameters, and integrate the net present value calculations into a final file. This significantly simplifies the further analysis and plotting, enabling more informed decision-making in reservoir development projects.
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