U.S. Department of EnergyOffice of Scientific and Technical Information
Rare Earth Element Geochemistry of Produced Waters in WY
Abstract
Update of rare earth element data from oil and gas reservoirs. These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.
- Authors:
-
- University of Wyoming
- Publication Date:
- Other Number(s):
- 932
- DOE Contract Number:
- EE0007603
- Research Org.:
- DOE Geothermal Data Repository; University of Wyoming
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- University of Wyoming
- Subject:
- 15 GEOTHERMAL ENERGY; REE; coproduced; core sample; energy; geochemistry; geochemsitry; geologic formations; geothermal; isotopes; ngds content model; oil and gas; produced water; rare earth elements; rock chemistry; usgin content model
- OSTI Identifier:
- 1364772
- DOI:
- https://doi.org/10.15121/1364772
Citation Formats
Quillinan, Scott, McLaughlin, Fred, and Bagdonnas, Davin. Rare Earth Element Geochemistry of Produced Waters in WY. United States: N. p., 2017.
Web. doi:10.15121/1364772.
Quillinan, Scott, McLaughlin, Fred, & Bagdonnas, Davin. Rare Earth Element Geochemistry of Produced Waters in WY. United States. doi:https://doi.org/10.15121/1364772
Quillinan, Scott, McLaughlin, Fred, and Bagdonnas, Davin. 2017.
"Rare Earth Element Geochemistry of Produced Waters in WY". United States. doi:https://doi.org/10.15121/1364772. https://www.osti.gov/servlets/purl/1364772. Pub date:Thu Jun 01 04:00:00 UTC 2017
@article{osti_1364772,
title = {Rare Earth Element Geochemistry of Produced Waters in WY},
author = {Quillinan, Scott and McLaughlin, Fred and Bagdonnas, Davin},
abstractNote = {Update of rare earth element data from oil and gas reservoirs. These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.},
doi = {10.15121/1364772},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 01 04:00:00 UTC 2017},
month = {Thu Jun 01 04:00:00 UTC 2017}
}
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