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

Abstract

NRAP TRS

Authors:
; ; ;
Publication Date:
Other Number(s):
adedeca1-99b2-4595-95a1-bb2219e1cc47
DOE Contract Number:  
1022407
Product Type:
Dataset
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
TRS
OSTI Identifier:
1433177
DOI:
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: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:10.18141/1433177. https://www.osti.gov/servlets/purl/1433177. Pub date:Mon Apr 10 00:00:00 EDT 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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