Cargando…
Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling
This study evaluates the efficacy of current satellite observing systems to detect methane point sources from typical oil and gas production (O&G) facilities using a novel very high-resolution methane concentration dataset generated using a microscale model. Transport and dispersion of typical m...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581893/ https://www.ncbi.nlm.nih.gov/pubmed/36261448 http://dx.doi.org/10.1038/s41598-022-20567-z |
_version_ | 1784812729328992256 |
---|---|
author | Bhardwaj, Piyush Kumar, Rajesh Mitchell, Douglas A. Randles, Cynthia A. Downey, Nicole Blewitt, Doug Kosovic, Branko |
author_facet | Bhardwaj, Piyush Kumar, Rajesh Mitchell, Douglas A. Randles, Cynthia A. Downey, Nicole Blewitt, Doug Kosovic, Branko |
author_sort | Bhardwaj, Piyush |
collection | PubMed |
description | This study evaluates the efficacy of current satellite observing systems to detect methane point sources from typical oil and gas production (O&G) facilities using a novel very high-resolution methane concentration dataset generated using a microscale model. Transport and dispersion of typical methane emissions from seven well pads were simulated and the column enhancements for pseudo satellite pixel sizes of 3, 1, and 0.05 km were examined every second of the 2-h simulations (7200 realizations). The detectability of plumes increased with a pixel resolution, but two orders of magnitude change in emission rates at the surface results only in about 0.4%, 1.6%, and 47.8% enhancement in the pseudo-satellite retrieved methane column at 3, 1, and 0.05 km, respectively. Average methane emission rates estimated by employing the integrated mass enhancement (IME) method to column enhancements at 0.05 km showed an underestimation of the mean emissions by 0.2–6.4%. We show that IME derived satellite-based inversions of methane emissions work well for large persistent emission sources (e.g., super emitters), however, the method is ill-suited to resolve short-term emission fluctuations (< 20 min) in typical well site emissions due to the limitations in satellite detection limits, precision, overpass timing, and pixel resolution. |
format | Online Article Text |
id | pubmed-9581893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95818932022-10-21 Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling Bhardwaj, Piyush Kumar, Rajesh Mitchell, Douglas A. Randles, Cynthia A. Downey, Nicole Blewitt, Doug Kosovic, Branko Sci Rep Article This study evaluates the efficacy of current satellite observing systems to detect methane point sources from typical oil and gas production (O&G) facilities using a novel very high-resolution methane concentration dataset generated using a microscale model. Transport and dispersion of typical methane emissions from seven well pads were simulated and the column enhancements for pseudo satellite pixel sizes of 3, 1, and 0.05 km were examined every second of the 2-h simulations (7200 realizations). The detectability of plumes increased with a pixel resolution, but two orders of magnitude change in emission rates at the surface results only in about 0.4%, 1.6%, and 47.8% enhancement in the pseudo-satellite retrieved methane column at 3, 1, and 0.05 km, respectively. Average methane emission rates estimated by employing the integrated mass enhancement (IME) method to column enhancements at 0.05 km showed an underestimation of the mean emissions by 0.2–6.4%. We show that IME derived satellite-based inversions of methane emissions work well for large persistent emission sources (e.g., super emitters), however, the method is ill-suited to resolve short-term emission fluctuations (< 20 min) in typical well site emissions due to the limitations in satellite detection limits, precision, overpass timing, and pixel resolution. Nature Publishing Group UK 2022-10-19 /pmc/articles/PMC9581893/ /pubmed/36261448 http://dx.doi.org/10.1038/s41598-022-20567-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bhardwaj, Piyush Kumar, Rajesh Mitchell, Douglas A. Randles, Cynthia A. Downey, Nicole Blewitt, Doug Kosovic, Branko Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title | Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title_full | Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title_fullStr | Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title_full_unstemmed | Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title_short | Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
title_sort | evaluating the detectability of methane point sources from satellite observing systems using microscale modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581893/ https://www.ncbi.nlm.nih.gov/pubmed/36261448 http://dx.doi.org/10.1038/s41598-022-20567-z |
work_keys_str_mv | AT bhardwajpiyush evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT kumarrajesh evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT mitchelldouglasa evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT randlescynthiaa evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT downeynicole evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT blewittdoug evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling AT kosovicbranko evaluatingthedetectabilityofmethanepointsourcesfromsatelliteobservingsystemsusingmicroscalemodeling |