To date, there are regulatory documents providing basic and general recommendations for field surveys to obtain reliable information on gas condensate characteristics. These recommendations set the requirements for the allowable well operating conditions during testing (reservoir drawdown, gas flow rate) and lists the factors that reduce the informative value of gas condensate well tests. These factors include a certain amount of brine water and oil in the fluid; formation of hydrates, paraffins, and other solid deposits in the wellbore, and more.
Forecasting gas condensate characteristic behavior is especially relevant when designing and monitoring the development of low-permeable Achimov pools of Urengoyskoye oil, gas and condensate field (Yamalo-Nenets Autonomous Okrug) with a high content of C5 + in the formation gas. Problems arise in PVT (pressure, volume, temperature) modeling of formation gas, determining the dynamics of the potential content of C5 + components varying with pressure and well operation modes. The problematic part is the consolidation of the formation gas sample data obtained in the gas condensate well test and the condensate content with the reservoir (bottom hole) pressure measured during the gas-dynamic well test. A digital compositional model of a single well was created to resolve the problem. The model was used to reproduce the history of primary gas condensate and gas-dynamic studies, analyze the fluid composition, and link the composition to pressure. The composition identification method was tested at various reservoir properties in the hydraulic conductivity range of 10–5–10–1 μm2 · m. The deviation of the gas condensate characteristic was estimated by the bottom hole and reservoir pressures.
Keywords: ACHIMOV POOL, NUMERICAL MODELING, WELL TEST, PRESSURE BUILDUP CURVE, HYDRAULIC FRACTURING, INTERPRETATION.