Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach-Reference-Cited by-同舟云学术

Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach

Published:2024-07-22 Issue:9 Volume:1 Page:1000-1014
ISSN:2837-1402
Container-title:ACS ES&T Air
language:en
Short-container-title:ACS EST Air

Author:

Wigle Augustine¹^ORCID,Béliveau Audrey¹,Blackmore Daniel²,Lapeyre Paule²,Osadetz Kirk³,Lemieux Christiane¹,Daun Kyle J.²^ORCID

Affiliation:

1. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

3. Carbon Management Canada, Bow City, Alberta T0J 2M0, Canada

Funder

Petroleum Technology Alliance Canada

Natural Sciences and Engineering Research Council of Canada

Carbon Management Canada

Alberta Upstream Petroleum Research Fund

Arolytics, Inc.

Clean Resources Information Network

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestair.4c00030

Reference46 articles.

1. International Energy Agency. Global Methane Tracker 2023 – Analysis. https://www.iea.org/reports/global-methane-tracker-2023 (accessed 2024-02-10).

2. Canfin, P.; Jutta, P. Report on the proposal for a regulation of the European Parliament and of the Council on methane emissions reduction in the energy sector and amending Regulation (EU) 2019/942 |A9-0162/2023|European Parliament. https://www.europarl.europa.eu/doceo/document/A-9-2023-0162_EN.html (accessed 2023-11-23).

3. UNEP. OGMP 2.0 The Oil & Gas Methane Partnership 2.0. https://ogmpartnership.com/ (accessed 2023-11-23).

4. Can new mobile technologies enable fugitive methane reductions from the oil and gas industry?