Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15145-2018
© Author(s) 2018. 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-18-15145-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying uncertainties from mobile-laboratory-derived emissions of well pads using inverse Gaussian methods
Dana R. Caulton
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Qi Li
Department of Earth and Environmental Engineering, Columbia University, 500 W 120th St., New York, NY 10027, USA
Elie Bou-Zeid
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Jeffrey P. Fitts
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Levi M. Golston
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Da Pan
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Jessica Lu
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Haley M. Lane
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Bernhard Buchholz
RMS, Technische Universität Darmstadt, Darmstadt, 64287, Germany
Xuehui Guo
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
James McSpiritt
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Lars Wendt
Hunterdon Central Regional High School, Flemington, NJ 08822, USA
Mark A. Zondlo
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Princeton University, 59 Olden St., Princeton, NJ 08540, USA
Data sets
Marcellus Shale Unconventional Natural Gas Well Pad Emissions D. Caulton and M. Zondlo https://dataspace. princeton.edu/jspui/handle/88435/dsp01wh246v90d
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.
Mobile laboratory measurements have been widely used to quantify methane emissions from point...
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