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Amongst the different geological storage options, it is commonly accepted that saline aquifers will contribute a large proportion of required CO2 storage in the future. They have a vast capacity and are more widely distributed geographically than depleted oil and gas fields. However, the density of data associated with saline aquifers is much lower than depleted oil and gas fields. This means that prospective storage resource calculations will be significantly more difficult for saline aquifers, since they may lie outside traditional petroleum systems considerations or interests.
There is a need to maximise available data in CCS site screening, which becomes more acute in data poor regions. The predictive nature of global models can be used in screening workflows making it possible to project away from data constraint, and create meaningful comparisons between disparate fairways across a region, or even globally. By utilizing geospatial screening and fairway ranking workflows, it is possible to high grade potential storage units within the subsurface, maximising limited subsurface data to provide an estimate of storage resource, as well as possible risk factors.