Offshore CO2 Saline Storage Assessment Dataset
Abstract
Dataset containing 646 petrophysical well log interpretations spanning multiple geologic domains (as defined by Subsurface Trend Analysis™) in the Gulf of Mexico. Well logs were manually interpreted by geologic researchers at NETL and were derived from BOEM Sands and IHS data raster logs. This interpretation dataset underpins the Offshore CO2 Saline Storage Calculator.
- Authors:
- Publication Date:
- Other Number(s):
- 3feba8f4-3d75-467b-a03a-b3d3f77225f1
- DOE Contract Number:
- DE FE-1022403
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Keywords:
- Petrophyiscal; Wells Logs
- OSTI Identifier:
- 1560053
- DOI:
- https://doi.org/10.18141/1560053
Citation Formats
Bean, Andrew. Offshore CO2 Saline Storage Assessment Dataset. United States: N. p., 2019.
Web. doi:10.18141/1560053.
Bean, Andrew. Offshore CO2 Saline Storage Assessment Dataset. United States. doi:https://doi.org/10.18141/1560053
Bean, Andrew. 2019.
"Offshore CO2 Saline Storage Assessment Dataset". United States. doi:https://doi.org/10.18141/1560053. https://www.osti.gov/servlets/purl/1560053. Pub date:Wed Apr 10 00:00:00 EDT 2019
@article{osti_1560053,
title = {Offshore CO2 Saline Storage Assessment Dataset},
author = {Bean, Andrew},
abstractNote = {Dataset containing 646 petrophysical well log interpretations spanning multiple geologic domains (as defined by Subsurface Trend Analysis™) in the Gulf of Mexico. Well logs were manually interpreted by geologic researchers at NETL and were derived from BOEM Sands and IHS data raster logs. This interpretation dataset underpins the Offshore CO2 Saline Storage Calculator.},
doi = {10.18141/1560053},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 10 00:00:00 EDT 2019},
month = {Wed Apr 10 00:00:00 EDT 2019}
}
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