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

Data sets

Marcellus Shale Unconventional Natural Gas Well Pad Emissions D. Caulton and M. Zondlo https://dataspace. princeton.edu/jspui/handle/88435/dsp01wh246v90d

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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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