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Title: Rare Earth Element Geochemistry for Produced Waters, WY

Abstract

These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production. *Note - Link below contains updated version of spreadsheet (6/14/2017)

Authors:
; ; ;
Publication Date:
Research Org.:
DOE Geothermal Data Repository; University of Wyoming
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Contributing Org.:
University of Wyoming
OSTI Identifier:
1360765
Report Number(s):
925
DOE Contract Number:  
EE0007603
Resource Type:
Data
Data Type:
Specialized Mix
Country of Publication:
United States
Availability:
GDRHelp@ee.doe.gov
Language:
English
Subject:
15 Geothermal Energy; geothermal; energy; rare earth elements; produced water; REE; oil and gas; geologic formations; geochemistry; isotopes; usgin content model; ngds content model; rock chemistry

Citation Formats

Quillinan, Scott, Nye, Charles, McLing, Travis, and Neupane, Hari. Rare Earth Element Geochemistry for Produced Waters, WY. United States: N. p., 2016. Web. doi:10.15121/1360765.
Quillinan, Scott, Nye, Charles, McLing, Travis, & Neupane, Hari. Rare Earth Element Geochemistry for Produced Waters, WY. United States. doi:10.15121/1360765.
Quillinan, Scott, Nye, Charles, McLing, Travis, and Neupane, Hari. Thu . "Rare Earth Element Geochemistry for Produced Waters, WY". United States. doi:10.15121/1360765. https://www.osti.gov/servlets/purl/1360765.
@article{osti_1360765,
title = {Rare Earth Element Geochemistry for Produced Waters, WY},
author = {Quillinan, Scott and Nye, Charles and McLing, Travis and Neupane, Hari},
abstractNote = {These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production. *Note - Link below contains updated version of spreadsheet (6/14/2017)},
doi = {10.15121/1360765},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 30 00:00:00 EDT 2016},
month = {Thu Jun 30 00:00:00 EDT 2016}
}

Dataset:

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