U.S. Department of EnergyOffice of Scientific and Technical Information
Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets
Abstract
Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM
- Authors:
- Publication Date:
- Other Number(s):
- 798
- DOE Contract Number:
- FY11 AOP 11113
- Research Org.:
- USDOE Geothermal Data Repository (United States); National Energy Technology Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Collaborations:
- National Energy Technology Laboratory
- Subject:
- 15 Geothermal Energy
- Keywords:
- geothermal; EGS; enhanced geothermal system; NEWGEN; Newberry; Oregon; earthquakes; seismic; geologic map; Lidar; DEM; dataset; model; well log; earthquake; seismicity; map; cross-section; remote sensing
- Geolocation:
- 43.91666667,-121.0333333|43.51666667,-121.0333333|43.51666667,-121.4333333|43.91666667,-121.4333333|43.91666667,-121.0333333
- OSTI Identifier:
- 1261971
- DOI:
- https://doi.org/10.15121/1261971
- Project Location:
-
Citation Formats
Rose, Kelly. Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets. United States: N. p., 2016.
Web. doi:10.15121/1261971.
Rose, Kelly. Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets. United States. doi:https://doi.org/10.15121/1261971
Rose, Kelly. 2016.
"Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets". United States. doi:https://doi.org/10.15121/1261971. https://www.osti.gov/servlets/purl/1261971. Pub date:Fri Apr 22 00:00:00 EDT 2016
@article{osti_1261971,
title = {Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets},
author = {Rose, Kelly},
abstractNote = {Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM},
doi = {10.15121/1261971},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 22 00:00:00 EDT 2016},
month = {Fri Apr 22 00:00:00 EDT 2016}
}
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