An Integrated Method for Understanding the Fluid Flow Behavior and Forecasting Well Deliverability in Gas Condensate Reservoirs with Water Aquifer Driv

Gas condensate reservoirs constitute a significant portion of global hydrocarbon reserves. In these reservoirs, as bottomhole pressure falls below the dew point, liquid develops in the pore space. This results in the formation of a liquid bank near the wellbore region that decreases gas mobility, which then reduces gas inflow. Some gas condensate reservoirs have bottom aquifer drive, which also negatively impacts gas production. This research used a field case study to demonstrate an integrated workflow for forecasting well deliverability in a gas condensate field in Libya. The workflow began with the interpretation of open-hole log data to identify the production interval net pay and to estimate petrophysical properties. A compositional model was developed and matched to actual reservoir fluids. Transient pressure analysis was described and used to identify reservoir properties. Inflow performance relationships (IPRs) were analyzed using three types of backpressure equations. The workflow integrated all data in a numerical simulation model, which included the effect of bottom water drive. Sensitivity analysis was used to identify parameters with the greatest impact on future deliverability and recovery. The results provided in this case study demonstrated the importance of an integrated workflow in predicting future well performance in gas condensate fields with bottom water drive. The study demonstrated how to implement the workflow in managing or developing these types of reservoirs.