Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2020
Research article |
| 11 Dec 2020
| 11 Dec 2020
Quantifying methane emissions from Queensland's coal seam gas producing Surat Basin using inventory data and a regional Bayesian inversion
CSIRO Oceans and Atmosphere, Aspendale, 3195, Victoria, Australia
David M. Etheridge
CSIRO Oceans and Atmosphere, Aspendale, 3195, Victoria, Australia
Zoë M. Loh
CSIRO Oceans and Atmosphere, Aspendale, 3195, Victoria, Australia
Julie Noonan
CSIRO Oceans and Atmosphere, Aspendale, 3195, Victoria, Australia
Darren Spencer
CSIRO Oceans and Atmosphere, Aspendale, 3195, Victoria, Australia
Lisa Smith
Katestone Environmental Pty. Ltd., Milton, 4064, Queensland, Australia
Cindy Ong
CSIRO Energy, Kensington, 6152, Western Australia, Australia
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Short summary
With the sharp rise in coal seam gas (CSG) production in Queensland’s Surat Basin, there is much interest in quantifying methane emissions from this area and from unconventional gas production in general. We develop and apply a regional Bayesian inverse model that uses hourly methane concentration data from two sites and modelled backward dispersion to quantify emissions. The model requires a narrow prior and suggests that the emissions from the CSG areas are 33% larger than bottom-up estimates.
With the sharp rise in coal seam gas (CSG) production in Queensland’s Surat Basin, there is...
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