Articles | Volume 20, issue 23
Research article
11 Dec 2020
Research article |  | 11 Dec 2020

Quantifying methane emissions from Queensland's coal seam gas producing Surat Basin using inventory data and a regional Bayesian inversion

Ashok K. Luhar, David M. Etheridge, Zoë M. Loh, Julie Noonan, Darren Spencer, Lisa Smith, and Cindy Ong


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ashok Luhar on behalf of the Authors (07 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Oct 2020) by Christoph Gerbig
RR by Anonymous Referee #1 (24 Oct 2020)
ED: Publish as is (28 Oct 2020) by Christoph Gerbig
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.
Final-revised paper