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

Balashov, V N; Brantley, S L; Guthrie, G D; Lopano, C L; Hakala, J A; Rimstidt, J D

doi:10.18141/1432948

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:: Balashov, V N; Brantley, S L; Guthrie, G D; Lopano, C L; Hakala, J A; Rimstidt, J D

Publication Date:: Tue Mar 21 00:00:00 EDT 2017

Other Number(s):: 265405c6-8668-45a4-bc15-d4b1ed54a9fb

DOE Contract Number:: 1022403

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:: https://doi.org/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.

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                    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:https://doi.org/10.18141/1432948

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                    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:https://doi.org/10.18141/1432948.  https://www.osti.gov/servlets/purl/1432948. Pub date:Tue Mar 21 00:00:00 EDT 2017

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@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         = {Tue Mar 21 00:00:00 EDT 2017},

  month        = {Tue Mar 21 00:00:00 EDT 2017}

}

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DOI: https://doi.org/10.18141/1432948

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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
https://doi.org/10.18141/1432950

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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

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Citation Formats

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