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

Abstract

Carbon Storage TRS

Authors:
Publication Date:
Research Org.:
National Energy Technology Laboratory - Energy Data eXchange; NETL
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1432948
Report Number(s):
265405c6-8668-45a4-bc15-d4b1ed54a9fb
DOE Contract Number:  
1022403
Resource Type:
Data
Data Type:
Figures/Plots
Country of Publication:
United States
Language:
English
Subject:
TRS

Citation Formats

Goodman, Angela. Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport. United States: N. p., 2017. Web. doi:10.18141/1432948.
Goodman, Angela. Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport. United States. doi:10.18141/1432948.
Goodman, Angela. Tue . "Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport". United States. doi:10.18141/1432948. https://www.osti.gov/servlets/purl/1432948.
@article{osti_1432948,
title = {Predictive Modeling of CO2 Sequestration and Storage in Deep Saline Sandstone Reservoirs: Sensitivity Analysis of Mineral Rates in Reactive Transport},
author = {Goodman, Angela},
abstractNote = {Carbon Storage TRS},
doi = {10.18141/1432948},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {3}
}

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