U.S. Department of EnergyOffice of Scientific and Technical Information
Carbon Storage Technical Viability Approach (CS TVA) Database
Abstract
The Carbon Storage Technical Viability Approach (CS TVA) database was developed to support the implementation of the CS TVA Matrix to a national data availability assessment for technically viable carbon storage. This database leverages the efforts of multiple adjacent and overlapping databases by non-redundantly combining the databases into a single database along with additionally providing tags facilitating the CS TVA. The non-redundant aspect of the database permits an accurate assessment of the concentration of available data, aiding in spatial and categorical data gaps analysis relative to the individual CS TVA Matrix Components. Version 2.0 of the database is an expansion of Version 1.0. Version 2.0 was created to include additional data gathered to fill gaps in the existing data set. Downloading the CS TVA v2.0 database will result in two separate databases, the version 1.0 original .gdb, and a second addendum .gdb with the new data gathered, together these two databases make up v2.0. Please see the ReadMe file below for full details, metadata information, use disclaimer, and attributions.
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Other Number(s):
- 5609df70-a22b-4bc1-bbfe-6959033f2e00
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- Coal; Community data; Energy; Environmental; Geologic carbon storage; Geology; Infrastructure; Physiography; Political Boundaries; Socioeconomic; Structural Geology; Transportation; community and environmental data; energy extraction; geology; geophysics; geophysics structural; hydrologic; hydrology; local political boundaries; nearshore habitat; subsurface data; transportation infrastructure
- OSTI Identifier:
- 1984655
- DOI:
- https://doi.org/10.18141/1984655
Citation Formats
Mulhern, Julia, White, Casey, Lara, Araceli, Rodriguez, Neyda Cordero, Shay, Jacob, Jackson, Zach, Creason, Gabriel, Mark-Moser, MacKenzie, Morkner, Paige, and Rose, Kelly. Carbon Storage Technical Viability Approach (CS TVA) Database. United States: N. p., 2023.
Web. doi:10.18141/1984655.
Mulhern, Julia, White, Casey, Lara, Araceli, Rodriguez, Neyda Cordero, Shay, Jacob, Jackson, Zach, Creason, Gabriel, Mark-Moser, MacKenzie, Morkner, Paige, & Rose, Kelly. Carbon Storage Technical Viability Approach (CS TVA) Database. United States. doi:https://doi.org/10.18141/1984655
Mulhern, Julia, White, Casey, Lara, Araceli, Rodriguez, Neyda Cordero, Shay, Jacob, Jackson, Zach, Creason, Gabriel, Mark-Moser, MacKenzie, Morkner, Paige, and Rose, Kelly. 2023.
"Carbon Storage Technical Viability Approach (CS TVA) Database". United States. doi:https://doi.org/10.18141/1984655. https://www.osti.gov/servlets/purl/1984655. Pub date:Tue Jun 13 04:00:00 UTC 2023
@article{osti_1984655,
title = {Carbon Storage Technical Viability Approach (CS TVA) Database},
author = {Mulhern, Julia and White, Casey and Lara, Araceli and Rodriguez, Neyda Cordero and Shay, Jacob and Jackson, Zach and Creason, Gabriel and Mark-Moser, MacKenzie and Morkner, Paige and Rose, Kelly},
abstractNote = {The Carbon Storage Technical Viability Approach (CS TVA) database was developed to support the implementation of the CS TVA Matrix to a national data availability assessment for technically viable carbon storage. This database leverages the efforts of multiple adjacent and overlapping databases by non-redundantly combining the databases into a single database along with additionally providing tags facilitating the CS TVA. The non-redundant aspect of the database permits an accurate assessment of the concentration of available data, aiding in spatial and categorical data gaps analysis relative to the individual CS TVA Matrix Components. Version 2.0 of the database is an expansion of Version 1.0. Version 2.0 was created to include additional data gathered to fill gaps in the existing data set. Downloading the CS TVA v2.0 database will result in two separate databases, the version 1.0 original .gdb, and a second addendum .gdb with the new data gathered, together these two databases make up v2.0. Please see the ReadMe file below for full details, metadata information, use disclaimer, and attributions.},
doi = {10.18141/1984655},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 13 04:00:00 UTC 2023},
month = {Tue Jun 13 04:00:00 UTC 2023}
}