Analysis of CO2 injection strategy and storage in the kujung formation using reservoir simulation

• The strategies include injection rate, number of wells, and intermittent injection. • Higher injection rates generates greater pressure, reducing the storage capacity. • Multiple injection wells enhance storage capacity despite the pressure interference. • Extended shut-in periods prolong the operation without improving storage capacity. • CO 2 storage capacity is strongly influenced by initial reservoir pressure. One approach to reducing carbon emissions is to CO 2 them in geological formations, commonly referred to as Carbon Capture and Storage (CCS), making the maximization of storage capacity crucial. However, the storage capacity is constrained by the pressure threshold, making the selection of an appropriate injection strategy essential for effective pressure management. In this study, CO 2 sourced from the Gundih Central Processing Plant (CPP) is injected and stored in the Kujung Formation. Several injection strategies, including variations in injection rate, number of injection wells, and injection schedule for intermittent injection, are analyzed and compared under identical conditions and assumptions. To evaluate the effects of those strategies on pressure buildup, maximum injection duration, and total amount CO 2 stored, a numerical simulation model based on the finite volume method in MATLAB Reservoir Simulation Toolbox (MRST) is employed. Based on the results, lower injection rates, the use of multiple injection wells, and appropriately designed intermittent injection schedule have the potential to enhance storage capacity. The results show that the ideal CO 2 injection strategy for the Kujung Formation, based on the highest total CO 2 stored, is continuous CO 2 injection at 800 tonnes/day distributed across five injection wells, resulting in a total of 2.29 million tonnes CO 2 stored. A sensitivity analysis is also conducted to evaluate the effects of varying porosity, permeability, rock compressibility, initial reservoir pressure, and temperature on the storage capacity. The results indicate that the most influential reservoir parameter affecting the CO 2 storage capacity is the initial reservoir pressure.