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| Main Authors: | , , , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2015
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.853833 |
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| _version_ | 1867171837063987200 |
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| author | Zoe, Loh Leuning, Ray Zegelin, Steve Etheridge, David Bai, Jia-Chi Naylor, Travis A Griffith, David W T |
| author_facet | Zoe, Loh Leuning, Ray Zegelin, Steve Etheridge, David Bai, Jia-Chi Naylor, Travis A Griffith, David W T |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | We assess the performance of an inverse Lagrangian dispersion technique for its suitability to quantify leakages from geological storage of CO2. We find the technique is accurate ((QbLS/Q)=0.99, sigma=0.29) when strict meteorological filtering is applied to ensure that Monin–Obukhov Similarity Theory is valid for the periods analysed and when downwind enrichments in tracer gas concentration are 1% or more above background concentration. Because of their respective baseline atmospheric concentrations, this enrichment criterion is less onerous for CH4 than for CO2. Therefore for geologically sequestered gas reservoirs with a significant CH4 component, monitoring CH4 as a surrogate for CO2 leakage could be as much as 10 times more sensitive than monitoring CO2 alone. Additional recommendations for designing a robust atmospheric monitoring strategy for geosequestration include: continuous concentration data; exact inter-calibration of up- and downwind concentration measurements; use of an array of point concentration sensors to maximise the use of spatial information about the leakage plume; and precise isotope ratio measurement to confirm the source of any concentration elevations detected. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_853833 |
| institution | PANGAEA |
| language | en |
| publishDate | 2015 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Table 4. Trace gas concentrations from samples taken at Ginninderra Zoe, Loh Leuning, Ray Zegelin, Steve Etheridge, David Bai, Jia-Chi Naylor, Travis A Griffith, David W T Canberra, Australia; Carbon dioxide; CSIRO farm; DATE/TIME; ECO2; ELEVATION; Ginninderra; Line ID; Methane; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, carbon dioxide, atmospheric; δ13C, methane, atmospheric We assess the performance of an inverse Lagrangian dispersion technique for its suitability to quantify leakages from geological storage of CO2. We find the technique is accurate ((QbLS/Q)=0.99, sigma=0.29) when strict meteorological filtering is applied to ensure that Monin–Obukhov Similarity Theory is valid for the periods analysed and when downwind enrichments in tracer gas concentration are 1% or more above background concentration. Because of their respective baseline atmospheric concentrations, this enrichment criterion is less onerous for CH4 than for CO2. Therefore for geologically sequestered gas reservoirs with a significant CH4 component, monitoring CH4 as a surrogate for CO2 leakage could be as much as 10 times more sensitive than monitoring CO2 alone. Additional recommendations for designing a robust atmospheric monitoring strategy for geosequestration include: continuous concentration data; exact inter-calibration of up- and downwind concentration measurements; use of an array of point concentration sensors to maximise the use of spatial information about the leakage plume; and precise isotope ratio measurement to confirm the source of any concentration elevations detected. |
| title | Table 4. Trace gas concentrations from samples taken at Ginninderra |
| topic | Canberra, Australia; Carbon dioxide; CSIRO farm; DATE/TIME; ECO2; ELEVATION; Ginninderra; Line ID; Methane; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, carbon dioxide, atmospheric; δ13C, methane, atmospheric |
| url | https://doi.org/10.1594/PANGAEA.853833 |