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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:
Other Number(s):
265405c6-8668-45a4-bc15-d4b1ed54a9fb
DOE Contract Number:  
1022403
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:
1432948
DOI:
10.18141/1432948

Citation Formats

Balashov, V N, Brantley, S L, Guthrie, G D, Lopano, C L, Hakala, J A, and Rimstidt, J D. 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.
Balashov, V N, Brantley, S L, Guthrie, G D, Lopano, C L, Hakala, J A, & Rimstidt, J D. 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.
Balashov, V N, Brantley, S L, Guthrie, G D, Lopano, C L, Hakala, J A, and Rimstidt, J D. 2017. "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. Pub date:Tue Mar 21 00:00:00 EDT 2017
@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 = {Balashov, V N and Brantley, S L and Guthrie, G D and Lopano, C L and Hakala, J A and Rimstidt, J D},
abstractNote = {Carbon Storage TRS},
doi = {10.18141/1432948},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {3}
}

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Works referencing / citing this record:

NETL CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User’s Manual
dataset, January 2017

  • Goodman, Angela
  • National Energy Technology Laboratory - Energy Data eXchange; NETL
  • DOI: 10.18141/1432950