Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery
| Autor: | Thibaud Ehret, Aurélien De Truchis, Matthieu Mazzolini, Jean-Michel Morel, Alexandre d’Aspremont, Thomas Lauvaux, Riley Duren, Daniel Cusworth, Gabriele Facciolo |
|---|---|
| Přispěvatelé: | CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Kayrros, Laboratoire de physique de l'ENS - ENS Paris (LPENS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), University of Arizona, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), The authors thank Omar Dhobb from Kayrros for his encouragement and support. Workpartly financed by Office of Naval research grant N00014-17-1-2552, DGA Astrid project'Filmer la Terre' no ANR-17-ASTR-0013-01, and MENRT. T. Lauvaux was supportedby the French research program 'Make Our Planet Great Again' (CNRS, project CIUDAD). Alexandre d’Aspremont is at CNRS & d´epartement d’informatique, Ecole normale ´sup´erieure, UMR CNRS 8548, 45 rue d’Ulm 75005 Paris, France, INRIA and PSL ResearchUniversity, and would like to acknowledge support from the ML and Optimisation jointresearch initiative with the fonds AXA pour la recherche and Kamet Ventures, a Googlefocused award, as well as funding by the French government under management of AgenceNationale de la Recherche as part of the 'Investissements d’avenir' program, reference ANR19-P3IA-0001 (PRAIRIE 3IA Institute, ANR-17-ASTR-0013,Filmer la Terre en relief,Filmer la Terre en relief : Reconstruction 3D et détection de changement(2017), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Aptel, Florence, Filmer la Terre en relief : Reconstruction 3D et détection de changement - - Filmer la Terre en relief2017 - ANR-17-ASTR-0013 - ASTRID - VALID, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID |
| Rok vydání: | 2022 |
| Předmět: |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere Physics - Atmospheric and Oceanic Physics [SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmosphere Atmospheric and Oceanic Physics (physics.ao-ph) FOS: Physical sciences Environmental Chemistry General Chemistry [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment |
| Zdroj: | Environmental Science and Technology Environmental Science and Technology, 2022, 56 (14), pp.10517-10529. ⟨10.1021/acs.est.1c08575⟩ |
| ISSN: | 1520-5851 0013-936X |
| DOI: | 10.1021/acs.est.1c08575 |
| Popis: | Methane (CH4) emissions estimates from top-down studies over oil and gas basins have revealed systematic under-estimation of CH4 emissions in current national inventories. Sparse but extremely large amounts of CH4 from oil and gas production activities have been detected across the globe, resulting in a significant increase of the overall O&G contribution. However, attribution to specific facilities remains a major challenge unless high-resolution images provide the sufficient granularity within O&G basin. In this paper, we monitor known oil-and-gas infrastructures across the globe using recurrent Sentinel-2 imagery to detect and quantify more than 800 CH4 emissions. In combination with emissions estimates from airborne and Sentinel-5P measurements, we demonstrate the robustness of the fit to a power law from 0.1 tCH4/hr to 600 tCH4/hr. We conclude here that the prevalence of ultra-emitters (> 25tCH4/hr) detected globally by Sentinel-5P directly relates to emission occurrences below its detection threshold. Similar power law coefficients arise from several major oil and gas producers but noticeable differences in emissions magnitudes suggest large differences in maintenance practices and infrastructures across countries. Comment: Preprint version of https://pubs.acs.org/doi/abs/10.1021/acs.est.1c08575 |
| Databáze: | OpenAIRE |
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