CO2 Injection and Storage Assessment in Tight Gas Condensate Carbonate Reservoir: Central Kalimantan, Indonesia

Abstract

This study presents an assessment of CO2 storage potential in a tight gas condensate carbonate reservoir. The study area is a gas condensate field located in Central Kalimantan, Indonesia. The assessment is intended to reinject the produced CO2 or nearby high CO2 content industries. The study analyzed the characteristics of CO2 injection and storage in tight formation. The assessment conducted is a preliminary CO2 injection and storage analysis by performing a well-by-well assessment that is essential for the full-field carbon storage development. A 3D compositional reservoir model is initially prepared for the CO2 storage numerical reservoir simulation. Then a well-by-well assessment is performed by analyzing a number of parameter sensitivity. The parameter sensitivity of well location, perforation location, and well treatment is then used as a basis to build the well-by-well injection scenario to perform the injection numerical reservoir simulation. Furthermore, the CO2 trapping mechanism is analyzed to estimate the storage capacity. The result analyzed from the simulation are the well injectivity, pressure connection potential with nearby well, CO2 breakthrough phenomena, CO2 plume migration, and well stimulation impact. This study shows that the potential of carbon behavior in the field is very small due to the very low injectivity and storage capacity that is limited by the tight reservoir characteristic of the reservoir. However, the well-by-well assessment for simultaneous injection-production scenario conveys that the CO2 injection and storage in the reservoir is fairly feasible to reinject the native CO2 produce from the field and series of well treatment would be need to increase the injectivity and storage capacity. However, for larger CO2 sources such as from nearby industry, dedicated storage scenario is another potential injection strategy that has considerably higher injectivity and storage capacity up to 63 mln. tones. The detail scenario about the dedicated storage scenario also observed in this study..