U.S. Department of EnergyOffice of Scientific and Technical Information
Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer
Abstract
NRAP TRS
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Other Number(s):
- adedeca1-99b2-4595-95a1-bb2219e1cc47
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- TRS
- OSTI Identifier:
- 1433177
- DOI:
- https://doi.org/10.18141/1433177
Citation Formats
Bianchi, M, Zheng, L, Spycher, N, and Birkholzer, J. Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer. United States: N. p., 2017.
Web. doi:10.18141/1433177.
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. United States. doi:https://doi.org/10.18141/1433177
Bianchi, M, Zheng, L, Spycher, N, and Birkholzer, J. 2017.
"Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer". United States. doi:https://doi.org/10.18141/1433177. https://www.osti.gov/servlets/purl/1433177. Pub date:Mon Apr 10 04:00:00 UTC 2017
@article{osti_1433177,
title = {Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer},
author = {Bianchi, M and Zheng, L and Spycher, N and Birkholzer, J},
abstractNote = {NRAP TRS},
doi = {10.18141/1433177},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {4}
}
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