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Showing results 26 - 43 of 43.
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Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

Mar 23, 2017
Size unavailable
Publicly accessible
The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...
Authors
Beckers, K. and Young, K. National Renewable Energy Laboratory
geothermalenergydirect-usedistrict heatingegsgdhenhancedengineeredgeovisionhydrothermaleconomicfinancialoperation and maintenanceomcostperformancedeploymentmarket

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

Oct 01, 2021
5.68 MB
Publicly accessible
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...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Play Fairway Analysis of the Snake River Plain, Idaho: Final Report

Feb 19, 2021
74.24 MB
Publicly accessible
This submission includes the final project report of the Snake River Plain Play Fairway Analysis project as well as a separate appendix for the final report. The final report outlines the application of Play Fairway Analysis (PFA) to geothermal exploration, specifically within the...
Authors
Shervais, J. et al Utah State University
geothermalenergysrppfasnake river plainidahoblindresourcecharacterizationgeologyblind resourcesblind systemswestern snake river plaincentral snake river plaingeophysicsgravitymagneticsseismictemperaturegeothermometrygeochemistryaqueoustrace elementsisotoperadiometrywellarcgispythoncommon risk segment mappingcrsccrsgeochemicalmagnetotelluricsmtconceptual modelgisthermal modelinghydrothermalintegrated modelintegrated geohydrological modelgeology mapengineered geothermal systemegsmapdrillingwater chemistrypetrographyplay fairway analysisalgorithm

Validation of Innovative Exploration Technologies for Newberry Volcano: Shallow Temperature Data

Jan 01, 2012
1.66 MB
Publicly accessible
Validation of Innovative Exploration Technologies for Newberry Volcano: Temperature Readings from 7 wells drilled to date by SMU 2012
Authors
Frone, Z. et al Davenport Newberry Holdings, LLC
geothermaltempteraturenewberryvolcanooregoncalderainnovative exploration technologiestemperaturewellsdrillingietexplorationwellshallowhydrothermalegs

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

May 15, 2013
166.64 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappinggiscompressiondilatationmagnetotelluricsgravityseismicwellsfaultstemperaturegeospatial data

SSGF Mineral Major Elements and Lithium Concentration

May 01, 2023
1.38 MB
Publicly accessible
Presented are major element and lithium concentrations of minerals from the Salton Sea Geothermal Field (SSGF), located in the Imperial Valley, California. With a recent increase in demand for lithium, the area is now being studied as a source of geothermal brine for lithium extr...
Authors
Humphreys, J. et al Lawrence Berkeley National Laboratory
geothermallithiummineralrockssalton sea geothermal fieldbrinelithium isotopteschloritegeologygeochemistryhydrothermalisotope quantificationextractionsalton sealithium valleygeothermal brineimperial countyraw data

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

Utah FORGE: Mineral Mountains West Fault System Report

Jul 01, 2019
25.06 MB
Publicly accessible
This archive contains a report on the Mineral Mountains West fault system as part of phase 2C and the evidence for the northern terminus of this structure. Geologic field mapping, reprocessing of 3D seismic reflection data, and soil gas surveys contributed to this effort.
Authors
Simmons, S. and Miller, J. Energy and Geoscience Institute at the University of Utah
geothermalenergymineral mountainsutah forge phase 2cutah forgegeologic structurefaultsutah forge faultsmineral mountains west fault systemnorth milford valleyutahstructural geologysoil gas geochemistryphase 2c3d seismicgeochemicalgeophysicalgeologicalseismic reflectionfaultwell 58-32hydrothermal fluid flowhydrothermalco2 fluxhelium isotopessoil gasfault mappingsurface mappinggeomorphic analysisstratigraphyforgeegsroosevelt hot springsmilfordgeologygeophysicsgeochemistryseismic

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

Jun 30, 2023
1.03 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalweightspfapcaunsupervisedstandardizedexplorationcharacterizationglobal

USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
Size unavailable
Publicly accessible
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
Authors
DeAngelo, J. et al Nevada Bureau of Mines and Geology
geothermalenergygeophisicsnevadaslipdilationheat flowgravitymagneticsfaultsgeotiffsmachine learningexplorationcharacterizationhydrothermalgreat basingeophysicspfa

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

May 15, 2013
3.56 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappingnevadamethodologyconceptual report

SSGF Trace Element Concentrations

Jan 08, 2026
706.57 kB
Awaiting release
Presented are trace element concentrations of minerals from the Salton Sea Geothermal Field (SSGF), located in the Imperial Valley, California. With a recent increase in demand for lithium, the area is actively being studied as a source of geothermal brine for lithium extraction. ...
Authors
Kovalick, A. et al University of California Riverside
geothermaltrace elementssalton sea geothermal fieldrocksmineralhydrothermallithium valleygeothermal brineraw dataimperial countyssgfimperial valleyrare earth elementsreecritical mineralsmnznconibrine-rock reactionrock samplesbrine samplesrhyolitic domesdurmid hillsschmitt and hulenca 2-14wellschemistryfluid chemistrygeochemistrysalton sealithium extraction

PoroTomo: BRAD and BRDY GPS Station RINEX Files March 26, 2015

Jan 01, 2015
49.48 kB
Publicly accessible
This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of March 26, 2015. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data. ...
Authors
Kreemer, C. University of Wisconsin
geothermalgeodesygpsbrady hot springbrady hot springsrinexftp locationporotomobradyfieldnevadabradbrdybradys hot springshydrothermal

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Dec 18, 2018
198.67 GB
Publicly accessible
Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...
Authors
Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicaldasbradys hot springsdtsporotomoseismicgeophysicsdas datasgyseg-ydistributed acoustic sensingdistributed temperature sensinghydrothermaltrenchedsurface sensorsseismicityraw data

DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Jun 30, 2023
3.62 GB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfamodellingmodelingcharacterizationexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponent

Maps, Models and Data from Southeastern Great Basin PFA

Jun 30, 2017
846.11 kB
Publicly accessible
This submission includes composite risk segment models in raster format for permeability, heat of the earth, and MT, as well as the final PFA model of geothermal exploration risk in Southwestern Utah, USA. Additionally, this submission has data regarding hydrothermally altered are...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyexplorationplay fairway analysisutahheatpermeabilityopalmtmagnetotelluricpfahydrothermal alterationsinterhidden geothermal systemsblind geothermal systemsshapefileshape filearcgisgisgeospatial dataxrdx-ray diffractionmilfordphase 2segbgbgreat basinse great basineasterngeophysicsheat floweastern great basinhydrothermal

DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments

Jun 30, 2023
62.15 kB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalweightspfapcaexpertahpanalytical hierarchy processexplorationcharacterization

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Mar 29, 2016
342.13 TB
Publicly accessible
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Authors
Feigl, K. et al University of Wisconsin
geothermalporotomodasfiber opticsurface sensorsseismic arraydistributed acoustic sensingporoeleastic tomographybradys geothermal fieldgeosciencedistributed sensingdownholetrenchedseismicityhydrothermalgeophysicsoediraw datajupyter notebookpythonhdf5hsdsh5pyh5pyd
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