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Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer

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NRAP TRS

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OSTI Info

Field Value
Id bef84c4f-7751-49c9-81b0-ec41367a257a
Dataset Type FP
Contract Nos 1022407
Org Research Org NETL
Language English
Country US
Sponsor Org USDOE Office of Fossil Energy (FE)
Site Url https://edx.netl.doe.gov/dataset/roms-for-prediction-of-groundwater-leakage-high-plains-aquifer
Contact Name Elizabeth Warman
Contact Org National Energy Technology Laboratory
Doi 10.18141/1433177

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Last Updated April 17, 2018, 07:29 (LMT)
Created April 17, 2018, 07:29 (LMT)
Citation Bianchi, M.; Zheng, L.; Spycher, N.; Birkholzer, J. Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer; NRAP-TRS-III-017-2017; NRAP Technical Report Series; U.S. Department Energy, National Energy Technology Laboratory: Morgantown, WV, 2017; p 48. DOI: 10.18141/1433177.
Netl Product yes
Osti yes
Poc Email Grant.Bromhal@netl.doe.gov
Point Of Contact Grant Bromhal
Program Or Project NRAP
Project Number 1022407