Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3761-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3761-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
24 Aug 2023
Data description paper |
| 24 Aug 2023
| 24 Aug 2023
Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
Ritesh Gautam
CORRESPONDING AUTHOR
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
Madeleine A. O'Brien
MethaneSAT, LLC, Austin, TX 78701, USA
Anthony Himmelberger
MethaneSAT, LLC, Austin, TX 78701, USA
Alex Franco
Environmental Defense Fund, New York, NY 10010, USA
Kelsey Meisenhelder
Environmental Defense Fund, New York, NY 10010, USA
Grace Hauser
MethaneSAT, LLC, Austin, TX 78701, USA
David R. Lyon
Environmental Defense Fund, New York, NY 10010, USA
Apisada Chulakadabba
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Christopher Chan Miller
Environmental Defense Fund, New York, NY 10010, USA
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Center for Astrophysics, Harvard and Smithsonian, Cambridge, MA
02138, USA
Climate Change Research Center, University of New South Wales, Sydney,
New South Wales, Australia
Jonathan Franklin
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Steven C. Wofsy
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Steven P. Hamburg
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
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Cited
7 citations as recorded by crossref.
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Innovative software for analysing satellite data and methane emissions using radiative transfer model K. Aghayeva & G. Krauklit 10.62660/bcstu/3.2024.65
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Deep learning for detecting and characterizing oil and gas well pads in satellite imagery N. Ramachandran et al. 10.1038/s41467-024-50334-9
- Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
- Targeting Libya’s rentier economy: The politics of energy, water, and infrastructural decay E. Weinthal & J. Sowers 10.1177/27538796231217548
4 citations as recorded by crossref.
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Innovative software for analysing satellite data and methane emissions using radiative transfer model K. Aghayeva & G. Krauklit 10.62660/bcstu/3.2024.65
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
3 citations as recorded by crossref.
- Deep learning for detecting and characterizing oil and gas well pads in satellite imagery N. Ramachandran et al. 10.1038/s41467-024-50334-9
- Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
- Targeting Libya’s rentier economy: The politics of energy, water, and infrastructural decay E. Weinthal & J. Sowers 10.1177/27538796231217548
Latest update: 14 Jan 2025
Short summary
We acquire, integrate, and analyze ~ 6 million geospatial oil and gas infrastructure data records based on information available in the public domain and develop an open-access global database including all the major oil and gas facility types that are important sources of methane emissions. This work helps fulfill a crucial geospatial data need, in support of the assessment, attribution, and mitigation of global oil and gas methane emissions at high resolution.
We acquire, integrate, and analyze ~ 6 million geospatial oil and gas infrastructure data...
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