The ultimate capacity of saline formations to sequester carbon dioxide by solubility and mineral trapping must be determined by simulating sequestration with geochemical models. These models, however, are only as reliable as the data and reaction scheme on which they are based. Several models have been used to make estimates of carbon dioxide solubility and mineral formation as a function of pressure and fluid composition. Intercomparison of modeling results indicates that failure to adjust all equilibrium constants to account for elevated carbon dioxide pressures results in significant errors in both solubility and mineral formation estimates. Absence of experimental data at high carbon dioxide pressures and high salinities make verification of model results difficult. Results indicate standalone solubility models that do not take mineral reactions into account will underestimate the total capacity of aquifers to sequester carbon dioxide in the long term through enhanced solubility and mineral trapping mechanisms. Overall, it is difficult to confidently predict the ultimate sequestration capacity of deep saline aquifers using geochemical models. (c) 2005 Elsevier B.V. All rights reserved.
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Siemens Digital Ind Software, Cambridge, EnglandSiemens Digital Ind Software, Cambridge, England
Vikhansky, Alexander
Eskin, Dmitry
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Skolkovo Inst Sci & Technol, Moscow, Russia
Univ West Indies, St Augustine, Trinidad TobagoSiemens Digital Ind Software, Cambridge, England
Eskin, Dmitry
Budaraju, Aditya
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Siemens Digital Ind Software, Bangalore Urban, IndiaSiemens Digital Ind Software, Cambridge, England
Budaraju, Aditya
Leonenko, Yuri
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Univ Waterloo, Dept Appl Math, Waterloo, ON, Canada
Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON, CanadaSiemens Digital Ind Software, Cambridge, England
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Northeast Normal Univ, Sch Math & Stat, 5268 Renmin St, Changchun 130024, Jilin, Peoples R China
Univ Alberta, Dept Math & Stat Sci, Interdisciplinary Lab Math Ecol & Epidemiol, Edmonton, AB T6G 2G1, CanadaNortheast Normal Univ, Sch Math & Stat, 5268 Renmin St, Changchun 130024, Jilin, Peoples R China
Sun, Zhenyao
Wang, Hao
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Univ Alberta, Dept Math & Stat Sci, Interdisciplinary Lab Math Ecol & Epidemiol, Edmonton, AB T6G 2G1, CanadaNortheast Normal Univ, Sch Math & Stat, 5268 Renmin St, Changchun 130024, Jilin, Peoples R China
Wang, Hao
Fan, Meng
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Northeast Normal Univ, Sch Math & Stat, 5268 Renmin St, Changchun 130024, Jilin, Peoples R ChinaNortheast Normal Univ, Sch Math & Stat, 5268 Renmin St, Changchun 130024, Jilin, Peoples R China
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US EPA, Off Ground Water & Drinking Water, Washington, DC 20460 USAUS EPA, Off Ground Water & Drinking Water, Washington, DC 20460 USA
Schnaar, Gregory
Digiulio, Dominic C.
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US EPA, Robert S Kerr Environm Res Ctr, Off Res & Dev, Natl Risk Management Res Lab,Ground Water & Ecosy, Ada, OK USAUS EPA, Off Ground Water & Drinking Water, Washington, DC 20460 USA