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.
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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Cited
13 citations as recorded by crossref.
- Sources and concentrations of methane, ethane, and CO2 in deep aquifers of the Surat Basin, Great Artesian Basin J. Pearce et al. 10.1016/j.coal.2022.104162
- Efficient estimation of natural gas leakage source terms using physical information and improved particle filtering Q. Jing et al. 10.1016/j.ress.2025.110989
- Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC R. Albani et al. 10.1016/j.envpol.2021.118039
- Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia X. Lu et al. 10.5194/acp-21-10527-2021
- Coal seam gas industry methane emissions in the Surat Basin, Australia: comparing airborne measurements with inventories B. Neininger et al. 10.1098/rsta.2020.0458
- Methane in aquifers and alluvium overlying a coal seam gas region: Gas concentrations and isotopic differentiation J. Pearce et al. 10.1016/j.scitotenv.2022.160639
- Multi-scale modelling of multi-physics flow in coal seams Z. Lanetc et al. 10.1016/j.jgsce.2023.205081
- Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. 10.5194/acp-25-2181-2025
- Exploring uncertainty reduction in high-resolution methane emissions in Gippsland through in-situ data: A Bayesian inverse modeling and variational assimilation method S. Aghdasi et al. 10.1016/j.atmosres.2025.107911
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Potential methane emissions from aquifer and coal seam gas groundwater extraction: Effect of open and closed sampling methods and new emission factors J. Pearce & H. Hofmann 10.1016/j.jhydrol.2025.133228
- Sources and Concentrations of Methane, Ethane, and Co2 in Deep Aquifers of the Surat Basin, Great Artesian Basin J. Pearce et al. 10.2139/ssrn.4197924
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al. 10.1080/15481603.2025.2488595
13 citations as recorded by crossref.
- Sources and concentrations of methane, ethane, and CO2 in deep aquifers of the Surat Basin, Great Artesian Basin J. Pearce et al. 10.1016/j.coal.2022.104162
- Efficient estimation of natural gas leakage source terms using physical information and improved particle filtering Q. Jing et al. 10.1016/j.ress.2025.110989
- Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC R. Albani et al. 10.1016/j.envpol.2021.118039
- Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia X. Lu et al. 10.5194/acp-21-10527-2021
- Coal seam gas industry methane emissions in the Surat Basin, Australia: comparing airborne measurements with inventories B. Neininger et al. 10.1098/rsta.2020.0458
- Methane in aquifers and alluvium overlying a coal seam gas region: Gas concentrations and isotopic differentiation J. Pearce et al. 10.1016/j.scitotenv.2022.160639
- Multi-scale modelling of multi-physics flow in coal seams Z. Lanetc et al. 10.1016/j.jgsce.2023.205081
- Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. 10.5194/acp-25-2181-2025
- Exploring uncertainty reduction in high-resolution methane emissions in Gippsland through in-situ data: A Bayesian inverse modeling and variational assimilation method S. Aghdasi et al. 10.1016/j.atmosres.2025.107911
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Potential methane emissions from aquifer and coal seam gas groundwater extraction: Effect of open and closed sampling methods and new emission factors J. Pearce & H. Hofmann 10.1016/j.jhydrol.2025.133228
- Sources and Concentrations of Methane, Ethane, and Co2 in Deep Aquifers of the Surat Basin, Great Artesian Basin J. Pearce et al. 10.2139/ssrn.4197924
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al. 10.1080/15481603.2025.2488595
Latest update: 23 Apr 2025
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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