U.S. Department of EnergyOffice of Scientific and Technical Information
Geoanalytical Evaluation of Saline Storage (GEESS) Geodatabase v2.0
Abstract
The Geoanalytical Economic Evaluation of Saline Storage (GEESS) geodatabase was developed to support the United States Department of Energy (DOE) and National Energy Technology Laboratory (NETL) in their geologic carbon storage efforts by characterizing saline geologic formations present in the FECM/NETL CO2 Saline Storage Cost Model (CO2_S_COM) [1]. Using publicly available literature and data, the GEESS geodatabase characterizes 57 geologic formations across the lower-48 U.S. states in what are called Fully Integrated Geodatabases (FIGs). The FIG is a vector polygon feature containing thousands or tens of thousands of individual polygons, which each contain discrete geologic parameter values. A list of the critical geologic parameters that are characterized in the GEESS geodatabase are described in the “Processing Steps and Workflow” part of the ReadMe file, as well as the Data Catalog accompanying the GEESS geodatabase. The FIG is the basis of the GEESS geodatabase and is the direct representation of the collected geologic data. In addition to the FIG, the GEESS system contains grid files. Due to the complexity of the FIGs, grids are used to sample the geologic data so they can be exercised within CO2_S_COM. The grid files contain the geologic data sampled from the FIG, as well asmore »
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Research Org.:
- NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- CO2 plume; GEESS; Geoanalytical Economic Evaluation of Saline Storage; Geologic Sequestrion; IM; Lithology; Saline Storage; Thickness; United States; carbon; depositional environment; depth; first-year break-even; fracture pressure; geoanalytical; geodatabase; geologic; geologic carbon storage; geology; plume diameter; porosity; pressure; salinity; technoeconomic; temperature
- OSTI Identifier:
- 2584199
- DOI:
- https://doi.org/10.18141/2584199
Citation Formats
Mathews, Austin, and Eppink, Jeffrey. Geoanalytical Evaluation of Saline Storage (GEESS) Geodatabase v2.0. United States: N. p., 2025.
Web. doi:10.18141/2584199.
Mathews, Austin, & Eppink, Jeffrey. Geoanalytical Evaluation of Saline Storage (GEESS) Geodatabase v2.0. United States. doi:https://doi.org/10.18141/2584199
Mathews, Austin, and Eppink, Jeffrey. 2025.
"Geoanalytical Evaluation of Saline Storage (GEESS) Geodatabase v2.0". United States. doi:https://doi.org/10.18141/2584199. https://www.osti.gov/servlets/purl/2584199. Pub date:Fri Aug 29 04:00:00 UTC 2025
@article{osti_2584199,
title = {Geoanalytical Evaluation of Saline Storage (GEESS) Geodatabase v2.0},
author = {Mathews, Austin and Eppink, Jeffrey},
abstractNote = {The Geoanalytical Economic Evaluation of Saline Storage (GEESS) geodatabase was developed to support the United States Department of Energy (DOE) and National Energy Technology Laboratory (NETL) in their geologic carbon storage efforts by characterizing saline geologic formations present in the FECM/NETL CO2 Saline Storage Cost Model (CO2_S_COM) [1]. Using publicly available literature and data, the GEESS geodatabase characterizes 57 geologic formations across the lower-48 U.S. states in what are called Fully Integrated Geodatabases (FIGs). The FIG is a vector polygon feature containing thousands or tens of thousands of individual polygons, which each contain discrete geologic parameter values. A list of the critical geologic parameters that are characterized in the GEESS geodatabase are described in the “Processing Steps and Workflow” part of the ReadMe file, as well as the Data Catalog accompanying the GEESS geodatabase. The FIG is the basis of the GEESS geodatabase and is the direct representation of the collected geologic data. In addition to the FIG, the GEESS system contains grid files. Due to the complexity of the FIGs, grids are used to sample the geologic data so they can be exercised within CO2_S_COM. The grid files contain the geologic data sampled from the FIG, as well as estimates of “Plume Uncertainty Diameter” and “First-year Break-even Price of CO2” derived from CO2_S_COM based on the GEESS grid data.},
doi = {10.18141/2584199},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 29 04:00:00 UTC 2025},
month = {Fri Aug 29 04:00:00 UTC 2025}
}