Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15145-2018
https://doi.org/10.5194/acp-18-15145-2018
Research article
 | 
22 Oct 2018
Research article |  | 22 Oct 2018

Quantifying uncertainties from mobile-laboratory-derived emissions of well pads using inverse Gaussian methods

Dana R. Caulton, Qi Li, Elie Bou-Zeid, Jeffrey P. Fitts, Levi M. Golston, Da Pan, Jessica Lu, Haley M. Lane, Bernhard Buchholz, Xuehui Guo, James McSpiritt, Lars Wendt, and Mark A. Zondlo

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dana Caulton on behalf of the Authors (04 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 May 2018) by Steven Brown
RR by Anonymous Referee #1 (05 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (08 Jul 2018) by Steven Brown
AR by Dana Caulton on behalf of the Authors (19 Jul 2018)  Author's response    Manuscript
ED: Publish as is (04 Aug 2018) by Steven Brown
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Short summary
Mobile laboratory measurements have been widely used to quantify methane emissions from point sources such as oil and gas wells, but the emission uncertainties are poorly constrained. We designed a hierarchical measurement strategy to sample natural gas emissions in the Marcellus Shale play based upon high-resolution modeling of select sites. Our study quantifies the largest sources of error with this approach and provides guidance on how to best implement mobile laboratory sampling protocols.
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