Effective CO2 sequestration requires not only minimizing carbon emissions but also optimizing storage efficiency while ensuring the integrity of storage sites. This research focuses on the assessment of CO2 injection in a stack storage system, specifically targeting the Entrada (high-permeability) and Bluff (low-permeability) formations within the San Juan Basin. By leveraging a single well to inject CO2 across multiple formations, the goal is to enhance storage efficiency, reduce the spatial extent of CO2 plumes, and minimize the area requiring long-term monitoring.

A high-resolution hydrodynamic reservoir model was developed and validated using historical injection rates and pressure data from nearby saltwater disposal wells. This model was used to simulate 30 years of CO2 injection, aiming to store 50MtCO2f through a stacked storage configuration. Three well-completion strategies were explored: (1) a base case with injection into Entrada only, (2) a case with commingled injection into both formations through a single well, and (3) 6 scenarios using smart well-completion techniques to simultaneously inject CO2 into the Entrada and Bluff formations at controlled rates. Different injection rates were tested to identify the best scenario that minimizes CO2 plume size while meeting the storage target.

Simulation results from the base case of injecting into Entrada only revealed that at an injection rate of 80MMSCFD, 50MtCO2 can be injected over 30 years. The commingled injection case showed that over 90% of injected CO2 entered the Entrada formation, leading to larger plume size (64.69 square miles after 100 years of post-injection monitoring) and an expanded area requiring monitoring. In contrast, the optimized injection strategy, with CO2 allocated at varying rates (25%, 31%, and 34% of the total injection rate of 80MMSCD) to the Bluff formation, resulted in the best scenario case significantly reducing the Entrada plume spatial extent by 22% while increasing the plume size in the Bluff formation by approximately 94%, accompanied by a 77% increment in the storage capacity. Ultimately, the best scenario reduced the total area requiring monitoring, demonstrating the effectiveness of a stack storage approach in controlling CO2 migration and pressure fronts.

This study highlights the importance of optimizing CO2 in stacked storage systems to maximize sequestration efficiency. By carefully managing injection rates, the spread of CO2 plumes can be controlled, reducing monitoring costs and ensuring safe, long-term storage. The findings provide valuable insights for improving the practical implementation of CO2 capture and storage projects using stack storage systems.

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