Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs

Carroll, Susan; Keating, Elizabeth; Mansoor, Kayyum; Dai, Zhenue; Sun, Yunwei; Trainor-Guitton, Whitney; Brown, Chris; Bacon, Diana

doi:10.2172/1248282

Title: Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs

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Abstract

The National Risk Assessment Partnership (NRAP) is developing a science-based toolset for the analysis of potential impacts to groundwater chemistry from CO₂ injection (www.netldoe.gov/nrap). The toolset adopts a stochastic approach in which predictions address uncertainties in shallow underwater and leakage scenarios. It is derived from detailed physics and chemistry simulation results that are used to train more computationally efficient models,l referred to here as reduced-order models (ROMs), for each component system. In particular, these tools can be used to help regulators and operators understand the expected sizes and longevity of plumes in pH, TDS, and dissolved metals that could result from a leakage of brine and/or CO₂ from a storage reservoir into aquifers. This information can inform, for example, decisions on monitoring strategies that are both effective and efficient. We have used this approach to develop predictive reduced-order models for two common types of reservoirs, but the approach could be used to develop a model for a specific aquifer or other common types of aquifers. In this paper we describe potential impacts to groundwater quality due to CO₂ and brine leakage, discuss an approach to calculate thresholds under which "no impact" to groundwater occurs, describe the time scale for impactmore »« less

Authors:

Carroll, Susan ^[1]; Keating, Elizabeth ^[2]; Mansoor, Kayyum ^[1]; Dai, Zhenue ^[2]; Sun, Yunwei ^[1]; Trainor-Guitton, Whitney ^[1]; Brown, Chris ^[3]; Bacon, Diana ^[3]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Publication Date:: Mon Jan 06 00:00:00 EST 2014

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1248282

Report Number(s):: LLNL-TR-648252

DOE Contract Number:: AC52-07NA27344

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES

Citation Formats


                    Carroll, Susan, Keating, Elizabeth, Mansoor, Kayyum, Dai, Zhenue, Sun, Yunwei, Trainor-Guitton, Whitney, Brown, Chris, and Bacon, Diana. Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs.  United States: N. p., 2014. 
        Web.  doi:10.2172/1248282.

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                    Carroll, Susan, Keating, Elizabeth, Mansoor, Kayyum, Dai, Zhenue, Sun, Yunwei, Trainor-Guitton, Whitney, Brown, Chris, & Bacon, Diana. Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs.  United States.  https://doi.org/10.2172/1248282

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                    Carroll, Susan, Keating, Elizabeth, Mansoor, Kayyum, Dai, Zhenue, Sun, Yunwei, Trainor-Guitton, Whitney, Brown, Chris, and Bacon, Diana. 2014.  
        "Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs".  United States.  https://doi.org/10.2172/1248282.  https://www.osti.gov/servlets/purl/1248282.

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@article{osti_1248282,

  title        = {Key Factors for Determining Risk of Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration Reservoirs},

  author       = {Carroll, Susan and Keating, Elizabeth and Mansoor, Kayyum and Dai, Zhenue and Sun, Yunwei and Trainor-Guitton, Whitney and Brown, Chris and Bacon, Diana},

  abstractNote = {The National Risk Assessment Partnership (NRAP) is developing a science-based toolset for the analysis of potential impacts to groundwater chemistry from CO2 injection (www.netldoe.gov/nrap). The toolset adopts a stochastic approach in which predictions address uncertainties in shallow underwater and leakage scenarios. It is derived from detailed physics and chemistry simulation results that are used to train more computationally efficient models,l referred to here as reduced-order models (ROMs), for each component system. In particular, these tools can be used to help regulators and operators understand the expected sizes and longevity of plumes in pH, TDS, and dissolved metals that could result from a leakage of brine and/or CO2 from a storage reservoir into aquifers. This information can inform, for example, decisions on monitoring strategies that are both effective and efficient. We have used this approach to develop predictive reduced-order models for two common types of reservoirs, but the approach could be used to develop a model for a specific aquifer or other common types of aquifers. In this paper we describe potential impacts to groundwater quality due to CO2 and brine leakage, discuss an approach to calculate thresholds under which "no impact" to groundwater occurs, describe the time scale for impact on groundwater, and discuss the probability of detecting a groundwater plume should leakage occur.},

  doi          = {10.2172/1248282},

  url          = {https://www.osti.gov/biblio/1248282},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 06 00:00:00 EST 2014},

  month        = {Mon Jan 06 00:00:00 EST 2014}

}

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