U.S. Department of EnergyOffice of Scientific and Technical Information
Gulf of Mexico Risk Analysis Database (GoMRAD)
Abstract
The Gulf of Mexico Risk Analysis Database is comprehensive Esri geodatabase of vector layers, raster layers, and tables curated for risk analysis within the offshore Gulf of Mexico. Datasets include bathymetry, seafloor characteristics (channels, anomalies, faults, etc.), MetOcean data (wind speed, wave height, etc.), ocean current data, sediment data, and machine learning training regions used in NETL's Ocean & Geohazard Analysis (OGA) tool. This database serves as a compliment to the OGA tool by providing many of the datasets used in the design of the OGA tool, including regions used for machine learning. This database also serves as a valuable resource for risk analysis studies within the offshore Gulf of Mexico. This work was completed under the Advanced Offshore Research Portfolio, FWP Number: 1022476.
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Other Number(s):
- 8dee2db8-9aaa-4e3e-8dea-e06f494fef81
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- BOEM,Bathymetry,Gulf Of Mexico,Machine Learning,Metocean,NOAA,Ocean,Risk Analysis,Seafloor
- OSTI Identifier:
- 1963233
- DOI:
- https://doi.org/10.18141/1963233
Citation Formats
Schooley, Catherine, Mark-Moser, MacKenzie, Bauer, Jennifer, Duran, Rodrigo, Pramuk, Jennifer, Pfander, Isabelle, Wingo, Patrick, Zaengle, Dakota, and Dyer, Alec. Gulf of Mexico Risk Analysis Database (GoMRAD). United States: N. p., 2023.
Web. doi:10.18141/1963233.
Schooley, Catherine, Mark-Moser, MacKenzie, Bauer, Jennifer, Duran, Rodrigo, Pramuk, Jennifer, Pfander, Isabelle, Wingo, Patrick, Zaengle, Dakota, & Dyer, Alec. Gulf of Mexico Risk Analysis Database (GoMRAD). United States. doi:https://doi.org/10.18141/1963233
Schooley, Catherine, Mark-Moser, MacKenzie, Bauer, Jennifer, Duran, Rodrigo, Pramuk, Jennifer, Pfander, Isabelle, Wingo, Patrick, Zaengle, Dakota, and Dyer, Alec. 2023.
"Gulf of Mexico Risk Analysis Database (GoMRAD)". United States. doi:https://doi.org/10.18141/1963233. https://www.osti.gov/servlets/purl/1963233. Pub date:Mon Mar 27 04:00:00 UTC 2023
@article{osti_1963233,
title = {Gulf of Mexico Risk Analysis Database (GoMRAD)},
author = {Schooley, Catherine and Mark-Moser, MacKenzie and Bauer, Jennifer and Duran, Rodrigo and Pramuk, Jennifer and Pfander, Isabelle and Wingo, Patrick and Zaengle, Dakota and Dyer, Alec},
abstractNote = {The Gulf of Mexico Risk Analysis Database is comprehensive Esri geodatabase of vector layers, raster layers, and tables curated for risk analysis within the offshore Gulf of Mexico. Datasets include bathymetry, seafloor characteristics (channels, anomalies, faults, etc.), MetOcean data (wind speed, wave height, etc.), ocean current data, sediment data, and machine learning training regions used in NETL's Ocean & Geohazard Analysis (OGA) tool. This database serves as a compliment to the OGA tool by providing many of the datasets used in the design of the OGA tool, including regions used for machine learning. This database also serves as a valuable resource for risk analysis studies within the offshore Gulf of Mexico. This work was completed under the Advanced Offshore Research Portfolio, FWP Number: 1022476.},
doi = {10.18141/1963233},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 27 04:00:00 UTC 2023},
month = {Mon Mar 27 04:00:00 UTC 2023}
}