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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Cited articles

Agee, E. and Gluhovsky, A.: LES Model Sensitivities to Domains, Grids, and Large-Eddy Timescales, J. Atmos. Sci., 56, 599–605, https://doi.org/10.1175/1520-0469(1999)056<0599:LMSTDG>2.0.CO;2, 1999a.
Agee, E. and Gluhovsky, A.: Further Aspects of Large Eddy Simulation Model Statistics and Inconsistencies with Field Data, J. Atmos. Sci., 56, 2948–2950, https://doi.org/10.1175/1520-0469(1999)056<2948:FAOLES>2.0.CO;2, 1999b.
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Allen, D. T., Torres, V. M., Thomas, J., Sullivan, D. W., Harrison, M., Hendler, A., Herndon, S. C., Kolb, C. E., Fraser M. P., Hill, A. D., and Lamb, B. K.: Measurements of methane emissions at natural gas production sites in the United States, Proc. Natl. Acad. Sci. USA, 110, 17768–17773, https://doi.org/10.1073/pnas.1304880110, 2013.
Allen, D. T., Pacsi, A. P., Sullivan, D. W., Zavala-Araiza, D., Harrison, M., Keen, K., Fraser, M. P., Hill, A. D., Sawyer, R. F., and Seinfeld, J. H.: Methane emissions from process equipment at natural gas production sites in the United States: Pneumatic controllers, Environ. Sci. Technol., 49, 633–640, https://doi.org/10.1021/es5040156, 2014.
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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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