An analysis of the influence of injection well location on CO2 storage efficiency was carried out for three well-known geological structures (traps) in deep aquifers of the Lower Jurassic Polish Lowlands. Geological models of the structures were used to simulate CO2 injection at fifty different injection well locations. A computer simulation showed that the dynamic CO2 storage capacity varies depending on the injection well location. It was found that the CO2 storage efficiency for structures with good reservoir properties increases with increasing distance of the injection well from the top of the structure and with increasing depth difference to the top of the structure. The opposite is true for a structure with poor reservoir properties. As the quality of the petrophysical reservoir parameters (porosity and permeability) improves, the location of the injection well becomes more important when assessing the CO2 storage efficiency. Maps of dynamic CO2 storage capacity and CO2 storage efficiency are interesting tools to determine the best location of a carbon dioxide injection well in terms of gas storage capacity.
Massive emissions of CO 2 into the atmosphere are the most direct reason causing global warming and climate change, so more and more countries are starting to focus on carbon abatement technologies. In recent years, the method GCS (Geological Carbon Storage), injecting the CO 2 in a supercritical state underground for storage, is considered the most effective way to reduce greenhouse gas emissions. Saline aquifers are given special attention because of its huge amount of storage and, therefore, a deep saline aquifer is the best choice for the storage of CO 2 . Exemplified by the well-explored Konary structure in the Polish Lowlands, results of assessments of CO 2 storage capacity are compared for three cases: (1) a simplified formula based on averaged geological and reservoir parameters and (2) a model of the structure based on averaged geological and reservoir parameters (homogeneous model) and (3) a model of the structure with more detailed geological data (including those on clay interbeds in the sandstone series of the reservoir horizon -heterogeneous model). This allows the estimation of how providing of details of geological and reservoir data, introduced into the model, can affect the ability of CO 2 migration within a reservoir horizon intended for CO 2 storage, and, consequently, also obtain a more accurate assessment of the capacity that the structure is capable of attaining.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.