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.
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
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
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Cited
24 citations as recorded by crossref.
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Importance of Superemitter Natural Gas Well Pads in the Marcellus Shale D. Caulton et al. 10.1021/acs.est.8b06965
- The evolution of environmental forensics: From laboratory to field analysis V. Spikmans 10.1002/wfs2.1334
- A methane emissions reduction equivalence framework for alternative leak detection and repair programs T. Fox et al. 10.1525/elementa.369
- Open-path cavity ring-down methane sensor for mobile monitoring of natural gas emissions L. Mchale et al. 10.1364/OE.27.020084
- Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE) H. Maazallahi et al. 10.5194/acp-20-14717-2020
- On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis A. Montazeri et al. 10.3390/s21175683
- Variability of Ammonia and Methane Emissions from Animal Feeding Operations in Northeastern Colorado L. Golston et al. 10.1021/acs.est.0c00301
- Methane Emission Estimation of Oil and Gas Sector: A Review of Measurement Technologies, Data Analysis Methods and Uncertainty Estimation S. Sun et al. 10.3390/su132413895
- Mobile sampling of methane emissions from natural gas well pads in California X. Zhou et al. 10.1016/j.atmosenv.2020.117930
- Constraining the accuracy of flux estimates using OTM 33A R. Edie et al. 10.5194/amt-13-341-2020
- Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling H. Li et al. 10.3390/atmos11070716
- Can new mobile technologies enable fugitive methane reductions from the oil and gas industry? T. Fox et al. 10.1088/1748-9326/ac0565
- A Graphics Processing Unit (GPU) Approach to Large Eddy Simulation (LES) for Transport and Contaminant Dispersion P. Bieringer et al. 10.3390/atmos12070890
- Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model C. Stadler et al. 10.1007/s10661-021-09660-4
- Quantification of methane emissions from UK biogas plants S. Bakkaloglu et al. 10.1016/j.wasman.2021.01.011
- Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems B. Martinez et al. 10.3390/s20020454
- A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
- Quantifying CH4 concentration spikes above baseline and attributing CH4 sources to hydraulic fracturing activities by continuous monitoring at an off-site tower S. Russell et al. 10.1016/j.atmosenv.2020.117452
- Mobile atmospheric measurements and local-scale inverse estimation of the location and rates of brief CH<sub>4</sub> and CO<sub>2</sub> releases from point sources P. Kumar et al. 10.5194/amt-14-5987-2021
- Ethylene Oxide Exposure Attribution and Emissions Quantification Based on Ambient Air Measurements near a Sterilization Facility E. Olaguer et al. 10.3390/ijerph17010042
- Fugitive and vented methane emissions surveying on the Weyburn CO2-EOR field in southeastern Saskatchewan, Canada K. MacKay et al. 10.1016/j.ijggc.2019.05.032
- Evaluating Methods To Estimate Methane Emissions from Oil and Gas Production Facilities Using LES Simulations P. Saide et al. 10.1021/acs.est.8b01767
- Methane emissions from conventional and unconventional oil and gas production sites in southeastern Saskatchewan, Canada J. Baillie et al. 10.1088/2515-7620/ab01f2
22 citations as recorded by crossref.
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Importance of Superemitter Natural Gas Well Pads in the Marcellus Shale D. Caulton et al. 10.1021/acs.est.8b06965
- The evolution of environmental forensics: From laboratory to field analysis V. Spikmans 10.1002/wfs2.1334
- A methane emissions reduction equivalence framework for alternative leak detection and repair programs T. Fox et al. 10.1525/elementa.369
- Open-path cavity ring-down methane sensor for mobile monitoring of natural gas emissions L. Mchale et al. 10.1364/OE.27.020084
- Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE) H. Maazallahi et al. 10.5194/acp-20-14717-2020
- On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis A. Montazeri et al. 10.3390/s21175683
- Variability of Ammonia and Methane Emissions from Animal Feeding Operations in Northeastern Colorado L. Golston et al. 10.1021/acs.est.0c00301
- Methane Emission Estimation of Oil and Gas Sector: A Review of Measurement Technologies, Data Analysis Methods and Uncertainty Estimation S. Sun et al. 10.3390/su132413895
- Mobile sampling of methane emissions from natural gas well pads in California X. Zhou et al. 10.1016/j.atmosenv.2020.117930
- Constraining the accuracy of flux estimates using OTM 33A R. Edie et al. 10.5194/amt-13-341-2020
- Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling H. Li et al. 10.3390/atmos11070716
- Can new mobile technologies enable fugitive methane reductions from the oil and gas industry? T. Fox et al. 10.1088/1748-9326/ac0565
- A Graphics Processing Unit (GPU) Approach to Large Eddy Simulation (LES) for Transport and Contaminant Dispersion P. Bieringer et al. 10.3390/atmos12070890
- Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model C. Stadler et al. 10.1007/s10661-021-09660-4
- Quantification of methane emissions from UK biogas plants S. Bakkaloglu et al. 10.1016/j.wasman.2021.01.011
- Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems B. Martinez et al. 10.3390/s20020454
- A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
- Quantifying CH4 concentration spikes above baseline and attributing CH4 sources to hydraulic fracturing activities by continuous monitoring at an off-site tower S. Russell et al. 10.1016/j.atmosenv.2020.117452
- Mobile atmospheric measurements and local-scale inverse estimation of the location and rates of brief CH<sub>4</sub> and CO<sub>2</sub> releases from point sources P. Kumar et al. 10.5194/amt-14-5987-2021
- Ethylene Oxide Exposure Attribution and Emissions Quantification Based on Ambient Air Measurements near a Sterilization Facility E. Olaguer et al. 10.3390/ijerph17010042
- Fugitive and vented methane emissions surveying on the Weyburn CO2-EOR field in southeastern Saskatchewan, Canada K. MacKay et al. 10.1016/j.ijggc.2019.05.032
2 citations as recorded by crossref.
- Evaluating Methods To Estimate Methane Emissions from Oil and Gas Production Facilities Using LES Simulations P. Saide et al. 10.1021/acs.est.8b01767
- Methane emissions from conventional and unconventional oil and gas production sites in southeastern Saskatchewan, Canada J. Baillie et al. 10.1088/2515-7620/ab01f2
Latest update: 05 Jun 2023
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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