2012
DOI: 10.1016/j.eneco.2011.11.015
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The impact of geologic variability on capacity and cost estimates for storing CO2 in deep-saline aquifers

Abstract: While numerous studies find that deep-saline sandstone aquifers in the United States could store many decades worth of the nation's current annual CO 2 emissions, the likely cost of this storage (i.e. the cost of storage only and not capture and transport costs) has been harder to constrain. We use publicly available data of key reservoir properties to produce geo-referenced rasters of estimated storage capacity and cost for regions within 15 deep-saline sandstone aquifers in the United States. The rasters rev… Show more

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Cited by 20 publications
(48 citation statements)
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“…Our evaluation of the cost for onshore storage capacity in DSAs is essentially identical to that already published in Eccles et al 13 To estimate storage capacity, we use the same digital, geo-referenced grids of reservoir properties we created in Eccles et al 13 for 15 deep-saline sandstone DSAs from data published by the University of Texas at Austin's Bureau of Economic Geology. 18 Th ese grids, which include sand thickness, porosity and permeability, represent the geology of the DSAs underlying ~750 000 km 2 of the 2.1M km 2 that makes up the total surface area of the DSAs.…”
Section: Storage Resource Onshore Dsasmentioning
confidence: 99%
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“…Our evaluation of the cost for onshore storage capacity in DSAs is essentially identical to that already published in Eccles et al 13 To estimate storage capacity, we use the same digital, geo-referenced grids of reservoir properties we created in Eccles et al 13 for 15 deep-saline sandstone DSAs from data published by the University of Texas at Austin's Bureau of Economic Geology. 18 Th ese grids, which include sand thickness, porosity and permeability, represent the geology of the DSAs underlying ~750 000 km 2 of the 2.1M km 2 that makes up the total surface area of the DSAs.…”
Section: Storage Resource Onshore Dsasmentioning
confidence: 99%
“…18 Th ese grids, which include sand thickness, porosity and permeability, represent the geology of the DSAs underlying ~750 000 km 2 of the 2.1M km 2 that makes up the total surface area of the DSAs. We also estimate storage costs for the DSAs using the same economic model in Eccles et al, 13 with one minor yet important change. In our original publication, we assumed the spacing of injection wells, which aff ects storage costs, to be constant.…”
Section: Storage Resource Onshore Dsasmentioning
confidence: 99%
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