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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

NRAP TRS
Authors:
Publication Date:
Report Number(s):
adedeca1-99b2-4595-95a1-bb2219e1cc47
DOE Contract Number:
1022407
Product Type:
Dataset
Research Org(s):
National Energy Technology Laboratory - Energy Data eXchange; NETL
Sponsoring Org:
USDOE Office of Fossil Energy (FE)
Subject:
TRS
Related Identifiers:
OSTI Identifier:
1433177

Robert Dilmore. Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer. United States: N. p., Web. doi:10.18141/1433177.
Robert Dilmore. 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.
Robert Dilmore. 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.
@misc{osti_1433177,
title = {Reduced-Order Models for Prediction of Groundwater Quality Impacts from CO2 and Brine Leakage—Application to the High Plains Aquifer},
author = {Robert Dilmore},
abstractNote = {NRAP TRS},
doi = {10.18141/1433177},
year = {2017},
month = {4} }
  1. The Energy Data eXchange (EDX) is an online collection of capabilities and resources that advance research and customize energy-related needs. EDX is developed and maintained by NETL-RIC researchers and technical computing teams to support private collaboration for ongoing research efforts, and tech transfer of finalized DOE NETL research products. Search publicly available energy data contributions for coal, oil, pipelines and more.
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