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Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids Final Report
This report documents the results of investigations dealing with the concentrations and availabilities of strategic, critical and valuable materials (SCVM) in produced waters from geothermal and hydrocarbon reservoirs (50-250 degrees C) in Idaho, Nevada, New Mexico, Oregon, and Ut...
Simmons, S. Energy and Geoscience Institute at the University of Utah
Mar 18, 2019
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2 Resources
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Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids
This submission includes the following:
Field Characteristics: Describes the geological and production field characteristics of sampling sites
Geochemistry of Produced Fluids Idaho-Nevada-New Mexico-Oregon-Utah: Summarizes the all the analytical results for aqueous samples...
Simmons, S. et al Energy and Geoscience Institute at the University of Utah
Oct 31, 2018
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5 Resources
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Ore Deposits Mined for Critical Elements
Summary of deposit types containing critical elements, including, cobalt, gallium, germanium, indium, niobium, PGE, REE, rhenium, selenium, and tellurium. Includes information about ore deposit type, mineralogy, geologic setting, example deposits and districts, concentration range...
Verplanck, P. and Kelley, K. Energy and Geoscience Institute at the University of Utah
Jul 27, 2017
1 Resources
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1 Resources
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DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States
This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2021
1 Resources
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1 Resources
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Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project
The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....
Feigl, K. and PoroTomo Team, . University of Wisconsin
Mar 06, 2019
10 Resources
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10 Resources
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Structural Controls of the Neal Hot Springs Geothermal System, Eastern Oregon
Detailed geologic mapping (1:24,000 scale), structural and geochemical analyses, and integration of available geophysical and well-field data were utilized to assess the structural controls of the Neal Hot Springs geothermal field in eastern Oregon. The geothermal field lies withi...
Edwards, J. and Faulds, J. University of Nevada
May 31, 2013
1 Resources
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1 Resources
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Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Schroeder, J. et al Argonne National Laboratory
Aug 31, 2013
11 Resources
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11 Resources
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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska
This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...
Davalos Elizondo, E. et al National Renewable Energy Laboratory
Feb 06, 2023
6 Resources
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6 Resources
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Fort Bliss Geothermal Area Data: Temperature Profile, Logs, Schematic Model and Cross Section
This dataset contains a variety of data about the Fort Bliss geothermal area, part of the southern portion of the Tularosa Basin, New Mexico. The dataset contains schematic models for the McGregor Geothermal System, a shallow temperature survey of the Fort Bliss geothermal area. ...
Brandt, A. University of Utah
Nov 15, 2015
14 Resources
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14 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
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6 Resources
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