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Lessons learned and best practices derived from environmental monitoring at a large-scale CO2 injection project

•Near-surface soil gas and groundwater data can vary naturally and significantly.•Multiple approaches should be employed when assessing near-surface site data.•Air temperature modeling of soil gas data can assist in natural trend evaluation.•Identification of key groundwater parameters can assist in...

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Published in:International journal of greenhouse gas control 2018-11, Vol.78 (C), p.254-270
Main Authors: Leroux, Kerryanne M., Azzolina, Nicholas A., Glazewski, Kyle A., Kalenze, Nicholas S., Botnen, Barry W., Kovacevich, Justin T., Abongwa, Pride T., Thompson, Jeffrey S., Zacher, Erick J., Hamling, John A., Gorecki, Charles D.
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Language:English
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Summary:•Near-surface soil gas and groundwater data can vary naturally and significantly.•Multiple approaches should be employed when assessing near-surface site data.•Air temperature modeling of soil gas data can assist in natural trend evaluation.•Identification of key groundwater parameters can assist in CO2 exposure monitoring.•Modeling near-surface site data enhances monitoring efficiency and effectiveness. Near-surface soil gas and groundwater measurements can be helpful tools in assuaging concerns of potential out-of-zone migration of CO2 from a geologic storage unit into the overlying near-surface environment. These data, therefore, help to build confidence with local stakeholders and regulators that stored CO2 is not impacting surface/near-surface environments. Routine monitoring of soil gas concentrations in the vadose zone can be used to show a lack of change or effect. However, both air temperature modeling and the Romanak et al. (2012) process-based approach should be applied when soil gas data are evaluated, as increased CO2 concentrations can occur naturally from changes in the soil environment. Laboratory testing of groundwater and formation rock (drill cuttings) samples, exposed to varying concentrations of CO2 under in situ temperature and pressure conditions, yield valuable information with respect to water chemistry changes that could occur from a potential out-of-zone migration. Key field-measured groundwater monitoring parameters that change significantly in response to low levels of CO2 are pH (rapid decrease), alkalinity (increase), and conductivity (increase). Empirical models that predict soil gas concentrations using routinely measured climatic data such as air temperature, as well as models that predict the magnitude and duration of potential CO2 exposure in groundwater, should be employed as components of a broad surface and subsurface monitoring program.
ISSN:1750-5836
1878-0148
DOI:10.1016/j.ijggc.2018.08.012