Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea
•A novel stoichiometric approach called the Cseep method was developed and used to.•Predict natural DIC variations around the Goldeneye site in the north-western North Sea.•Establish a process-based baseline DIC concentration (Cb) with minimal variability.•Determine CO2 seepage detection threshold (...
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Published in | International journal of greenhouse gas control Vol. 108; p. 103310 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2021
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Subjects | |
Online Access | Get full text |
ISSN | 1750-5836 1878-0148 |
DOI | 10.1016/j.ijggc.2021.103310 |
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Abstract | •A novel stoichiometric approach called the Cseep method was developed and used to.•Predict natural DIC variations around the Goldeneye site in the north-western North Sea.•Establish a process-based baseline DIC concentration (Cb) with minimal variability.•Determine CO2 seepage detection threshold (DT) to reliably differentiate subsea released−CO2 signal from natural variability.•Quantify DIC concentration of subsea released−CO2 dissolved in the sampled seawater.
Carbon Capture and Storage (CCS) is a potential significant mitigation strategy to combat climate change and ocean acidification. The technology is well understood but its current implementation must be scaled up nearly by a hundredfold to become an effective tool that helps meet mitigation targets. Regulations require monitoring and verification at storage sites, and reliable monitoring strategies for detection and quantification of seepage of the stored carbon need to be developed. The Cseep method was developed for reliable determination of CO2 seepage signal in seawater by estimating and filtering out natural variations in dissolved inorganic carbon (C). In this work, we analysed data from the first-ever subsea CO2 release experiment performed in the north-western North Sea by the EU STEMM−CCS project. We successfully demonstrated the ability of the Cseep method to (i) predict natural C variations around the Goldeneye site over seasonal to interannual time scales; (ii) establish a process-based baseline C concentration with minimal variability; (iii) determine CO2 seepage detection threshold (DT) to reliably differentiate released−CO2 signal from natural variability and quantify released−CO2 dissolved in the sampled seawater. DT values were around 20 % of the natural C variations indicating high sensitivity of the method. Moreover, with the availability of DT value, the identification of released−CO2 required no pre-knowledge of seepage occurrence, but we used additional available information to assess the confidence of the results. Overall, the Cseep method features high sensitivity, automation suitability, and represents a powerful future monitoring tool both for large and confined marine areas. |
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AbstractList | •A novel stoichiometric approach called the Cseep method was developed and used to.•Predict natural DIC variations around the Goldeneye site in the north-western North Sea.•Establish a process-based baseline DIC concentration (Cb) with minimal variability.•Determine CO2 seepage detection threshold (DT) to reliably differentiate subsea released−CO2 signal from natural variability.•Quantify DIC concentration of subsea released−CO2 dissolved in the sampled seawater.
Carbon Capture and Storage (CCS) is a potential significant mitigation strategy to combat climate change and ocean acidification. The technology is well understood but its current implementation must be scaled up nearly by a hundredfold to become an effective tool that helps meet mitigation targets. Regulations require monitoring and verification at storage sites, and reliable monitoring strategies for detection and quantification of seepage of the stored carbon need to be developed. The Cseep method was developed for reliable determination of CO2 seepage signal in seawater by estimating and filtering out natural variations in dissolved inorganic carbon (C). In this work, we analysed data from the first-ever subsea CO2 release experiment performed in the north-western North Sea by the EU STEMM−CCS project. We successfully demonstrated the ability of the Cseep method to (i) predict natural C variations around the Goldeneye site over seasonal to interannual time scales; (ii) establish a process-based baseline C concentration with minimal variability; (iii) determine CO2 seepage detection threshold (DT) to reliably differentiate released−CO2 signal from natural variability and quantify released−CO2 dissolved in the sampled seawater. DT values were around 20 % of the natural C variations indicating high sensitivity of the method. Moreover, with the availability of DT value, the identification of released−CO2 required no pre-knowledge of seepage occurrence, but we used additional available information to assess the confidence of the results. Overall, the Cseep method features high sensitivity, automation suitability, and represents a powerful future monitoring tool both for large and confined marine areas. |
ArticleNumber | 103310 |
Author | Jeansson, Emil Loucaides, Socratis García-Ibáñez, Maribel I. Oleynik, Anna Esposito, Mario Schaap, Allison Thomas, Helmuth Omar, Abdirahman M. Alendal, Guttorm |
Author_xml | – sequence: 1 givenname: Abdirahman M. orcidid: 0000-0001-6778-5891 surname: Omar fullname: Omar, Abdirahman M. email: abdir.omar@norceresearch.no organization: NORCE, Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway – sequence: 2 givenname: Maribel I. surname: García-Ibáñez fullname: García-Ibáñez, Maribel I. organization: NORCE, Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway – sequence: 3 givenname: Allison surname: Schaap fullname: Schaap, Allison organization: National Oceanography Centre, Southampton, UK – sequence: 4 givenname: Anna surname: Oleynik fullname: Oleynik, Anna organization: Department of Mathematics, University of Bergen, Norway – sequence: 5 givenname: Mario surname: Esposito fullname: Esposito, Mario organization: GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany – sequence: 6 givenname: Emil surname: Jeansson fullname: Jeansson, Emil organization: NORCE, Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway – sequence: 7 givenname: Socratis surname: Loucaides fullname: Loucaides, Socratis organization: National Oceanography Centre, Southampton, UK – sequence: 8 givenname: Helmuth surname: Thomas fullname: Thomas, Helmuth organization: Institute of Carbon Cycles, Helmholtz Center Geesthacht, Geesthacht, Germany – sequence: 9 givenname: Guttorm surname: Alendal fullname: Alendal, Guttorm organization: Department of Mathematics, University of Bergen, Norway |
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Keywords | Seafloor CO2 seepage monitoring CO2 seepage detection Subsea CO2 release Baseline C establishment |
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Title | Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea |
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