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Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport

10.18141/1432948

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Carbon Storage TRS

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OSTI Info

Field Value
Dataset Type FP
Contract Nos 1022403
Org Research Org NETL
Language English
Country US
Sponsor Org USDOE Office of Fossil Energy (FE)
Site Url https://edx.netl.doe.gov/dataset/predictive-modeling-of-co2-sequestration-and-storage-in-deep-saline-sandstone-reservoirs
Contact Name Elizabeth Warman
Contact Org National Energy Technology Laboratory
Doi 10.18141/1432948

Additional Info

Field Value
Last Updated April 13, 2018, 11:06 (LMT)
Created April 13, 2018, 11:06 (LMT)
Citation Balashov, V. N.; Brantley, S. L.; Guthrie, G. D.; Lopano, C. L.; Hakala, J. A.; Rimstidt, J. D. Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport; NETL-TRS-5-2017; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2017; p 84. DOI: 10.18141/1432948.
Netl Product yes
Osti yes
Poc Email Angela.Goodman@netl.doe.gov
Point Of Contact Angela Goodman
Program Or Project Carbon Storage
Project Number 1022403