U.S. Department of EnergyOffice of Scientific and Technical Information
Global Oil & Gas Infrastructure Features Database EDX Spatial Web Map
Abstract
This submission offers a link to a web mapping application hosted instance of the Global Oil & Gas Features Database (GOGI), via EDX Spatial. This offers users with the ability to visualize, interact, and create maps with data of their choice, as well as download specific attributes or fields of view from the database. This data can also be downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database. Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.
- Authors:
-
- NETL
- Publication Date:
- Other Number(s):
- e9c60912-caca-44fe-98a6-60b67add17e7
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- GOGI; Global Oil and Gas Inventory; gas; infrastructure; oil
- OSTI Identifier:
- 1502839
- DOI:
- https://doi.org/10.18141/1502839
Citation Formats
Sabbatino, Michael, Romeo, Lucy, Baker, Vic, Bauer, Jennifer, barkurst, A, Bean, Andrew, DiGiulio, Jennifer, Jones, Kevin, Jones, Timothy, Justman, Devin, Miller, Roy H, Rose, Kelly, and Tong, Alexander. Global Oil & Gas Infrastructure Features Database EDX Spatial Web Map. United States: N. p., 2018.
Web. doi:10.18141/1502839.
Sabbatino, Michael, Romeo, Lucy, Baker, Vic, Bauer, Jennifer, barkurst, A, Bean, Andrew, DiGiulio, Jennifer, Jones, Kevin, Jones, Timothy, Justman, Devin, Miller, Roy H, Rose, Kelly, & Tong, Alexander. Global Oil & Gas Infrastructure Features Database EDX Spatial Web Map. United States. doi:https://doi.org/10.18141/1502839
Sabbatino, Michael, Romeo, Lucy, Baker, Vic, Bauer, Jennifer, barkurst, A, Bean, Andrew, DiGiulio, Jennifer, Jones, Kevin, Jones, Timothy, Justman, Devin, Miller, Roy H, Rose, Kelly, and Tong, Alexander. 2018.
"Global Oil & Gas Infrastructure Features Database EDX Spatial Web Map". United States. doi:https://doi.org/10.18141/1502839. https://www.osti.gov/servlets/purl/1502839. Pub date:Tue Mar 20 04:00:00 UTC 2018
@article{osti_1502839,
title = {Global Oil & Gas Infrastructure Features Database EDX Spatial Web Map},
author = {Sabbatino, Michael and Romeo, Lucy and Baker, Vic and Bauer, Jennifer and barkurst, A and Bean, Andrew and DiGiulio, Jennifer and Jones, Kevin and Jones, Timothy and Justman, Devin and Miller, Roy H and Rose, Kelly and Tong, Alexander},
abstractNote = {This submission offers a link to a web mapping application hosted instance of the Global Oil & Gas Features Database (GOGI), via EDX Spatial. This offers users with the ability to visualize, interact, and create maps with data of their choice, as well as download specific attributes or fields of view from the database. This data can also be downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database. Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.},
doi = {10.18141/1502839},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 20 04:00:00 UTC 2018},
month = {Tue Mar 20 04:00:00 UTC 2018}
}