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

Viewed

Total article views: 3,821 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,284 1,425 112 3,821 391 70 84
  • HTML: 2,284
  • PDF: 1,425
  • XML: 112
  • Total: 3,821
  • Supplement: 391
  • BibTeX: 70
  • EndNote: 84
Views and downloads (calculated since 17 Nov 2017)
Cumulative views and downloads (calculated since 17 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,821 (including HTML, PDF, and XML) Thereof 3,766 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint