Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling

The United States Environmental Protection Agency Greenhouse Gas Inventory only recently updated the emission factors of natural gas gathering pipelines in April 2019 from the previous estimates based on a 1990s study of distribution pipelines. Additional measurements are needed from different basin...

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Main Authors: Hugh Z. Li, Mumbi Mundia-Howe, Matthew D. Reeder, Natalie J. Pekney
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/7/716
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author Hugh Z. Li
Mumbi Mundia-Howe
Matthew D. Reeder
Natalie J. Pekney
author_facet Hugh Z. Li
Mumbi Mundia-Howe
Matthew D. Reeder
Natalie J. Pekney
author_sort Hugh Z. Li
collection DOAJ
description The United States Environmental Protection Agency Greenhouse Gas Inventory only recently updated the emission factors of natural gas gathering pipelines in April 2019 from the previous estimates based on a 1990s study of distribution pipelines. Additional measurements are needed from different basins for more accurate assessments of methane emissions from natural gas midstream industries and hence the overall climate implications of natural gas as the interim major energy source for the next decade. We conducted an unmanned aerial vehicle (UAV) survey and a ground-based vehicle sampling campaign targeting gathering pipeline systems in the Utica Shale from March to April in 2019. Out of 73 km of pipeline systems surveyed, we found no leaks on pipelines and two leaks on an accessory block valve with leak rates of 3.8 ± 0.4 and 7.6 ± 0.8 mg/s. The low leak frequency phenomenon was also observed in the only existing gathering pipeline study in Fayetteville Shale. The UAV sampling system facilitated ease of access, broadened the availability of pipelines for leak detection, and was estimated to detect methane leaks down to 0.07 g/s using Gaussian dispersion modeling. For future UAV surveys adopting similar instrument setup and dispersion models, we recommend arranging controlled release experiments first to understand the system’s detection limit and choosing sampling days with steady and low wind speeds (2 m/s).
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spelling doaj.art-c085c608fd0047fb8e36d80003c384252023-11-20T05:53:55ZengMDPI AGAtmosphere2073-44332020-07-0111771610.3390/atmos11070716Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile SamplingHugh Z. Li0Mumbi Mundia-Howe1Matthew D. Reeder2Natalie J. Pekney3Oak Ridge Institute for Science and Education, National Energy Technology Laboratory, Pittsburgh, PA 15236, USALeidos, National Energy Technology Laboratory, Pittsburgh, PA 15236, USALeidos, National Energy Technology Laboratory, Pittsburgh, PA 15236, USAU.S. Department of Energy, National Energy Technology Laboratory, Pittsburgh, PA 15236, USAThe United States Environmental Protection Agency Greenhouse Gas Inventory only recently updated the emission factors of natural gas gathering pipelines in April 2019 from the previous estimates based on a 1990s study of distribution pipelines. Additional measurements are needed from different basins for more accurate assessments of methane emissions from natural gas midstream industries and hence the overall climate implications of natural gas as the interim major energy source for the next decade. We conducted an unmanned aerial vehicle (UAV) survey and a ground-based vehicle sampling campaign targeting gathering pipeline systems in the Utica Shale from March to April in 2019. Out of 73 km of pipeline systems surveyed, we found no leaks on pipelines and two leaks on an accessory block valve with leak rates of 3.8 ± 0.4 and 7.6 ± 0.8 mg/s. The low leak frequency phenomenon was also observed in the only existing gathering pipeline study in Fayetteville Shale. The UAV sampling system facilitated ease of access, broadened the availability of pipelines for leak detection, and was estimated to detect methane leaks down to 0.07 g/s using Gaussian dispersion modeling. For future UAV surveys adopting similar instrument setup and dispersion models, we recommend arranging controlled release experiments first to understand the system’s detection limit and choosing sampling days with steady and low wind speeds (2 m/s).https://www.mdpi.com/2073-4433/11/7/716natural gasmethane emissionsUAVmobile samplingGaussian dispersion
spellingShingle Hugh Z. Li
Mumbi Mundia-Howe
Matthew D. Reeder
Natalie J. Pekney
Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
Atmosphere
natural gas
methane emissions
UAV
mobile sampling
Gaussian dispersion
title Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
title_full Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
title_fullStr Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
title_full_unstemmed Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
title_short Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling
title_sort gathering pipeline methane emissions in utica shale using an unmanned aerial vehicle and ground based mobile sampling
topic natural gas
methane emissions
UAV
mobile sampling
Gaussian dispersion
url https://www.mdpi.com/2073-4433/11/7/716
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