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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Apr 15, 2022
113.79 MB
Publicly accessible
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Authors
Jin, W. et al Idaho National Laboratory
reservoir thermal energy storagestochastic simulationgeotesmachine learningmodelingtesht-rtescharacterizationnumerical modelstochastichydrogeologic formationsimulated datasimulation datahigh-temperaturethermal energy storageoptimizationartificial neural network regressionannneural networkoperation scenariosseasonal-cyclepareto frontsseasonal operationcontinuous operationfalconmoose

Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Sep 30, 2015
32.65 MB
Publicly accessible
This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...
Authors
Jordan, T. et al Cornell University
geothermalnew yorkpennsylvaniawest virginiadeep direct usedduappalachian basingeothermal play fairway analysispfaplay fairwayanalysismonte carlofinal reportphase 1low temperatureexplorationcharacterization

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Oct 01, 2021
7.12 MB
Publicly accessible
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Authors
Siler, D. and Pepin, J. United States Geological Survey
geothermalenergypca3d geologic modelgeologic modelgeologycharacterizationmachine learningmlbhsbrady hot springsprincipal component analysisproductionstressfaultsrbradyhydrothermalgeologic structureunsupervised3d well datacodegeothermicgeophysics

Snake River Plain Play Fairway Analysis Favorability Models

Jun 01, 2020
Size unavailable
Publicly accessible
This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...
Authors
DeAngelo, J. et al Utah State University
geothermalenergygissnake river plainplay fairway analysissrppfaidahorasterarcgisshapefileblindresourcecharacterizationgeospatial datafavorabilitymodelgeologicgeophysicalmodelingprocessed data

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

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

Fallon FORGE: Well Data, Geophysical Data, and Geologic Maps

Mar 31, 2016
1.87 GB
Publicly accessible
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...
Authors
Blankenship, D. Sandia National Laboratories
geothermalegsfallonforgecarson sinkbasin and rangetemperaturewellnevadamudloggeologic mapnv17-16drilling13-3635a-11boundarylease86-1534-3378-36demneadastewart and carlson 1978hinz et. al. 2011bell et. al. 2010bell and house 2010maurer and welch 2001ndothighwaysgravitymtseismicityflow testfoh-3earthquakes61-36pressuresurveyboreholedrogamma rayacoustilogx-multipole array47a-11well drilling51a-2056a-1458a-914-162-1584-3182-3686-2586a-15semblancegammaheat flowfoh 3seismicnavy gporadiogenic heat measurementstemperature gradientmagnetotelluric88-24mud loggeophysicsgeologymapgeologicexplorationsitecharacterizationsubsurfacewell dataradiogenicheatgeospatial datadata

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

INGENIOUS Great Basin Regional Dataset Compilation

Jun 30, 2022
116.98 MB
Publicly accessible
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Authors
Ayling, B. et al GBCGE, NBMG, UNR
geothermalenergy2-meter probetemperaturegeochemistryquaternary falutsquaternary volcanicsgeodeticsseismicitypaleogeothermalwellsspringsslip and dilationingeniousplay fairway analysisgreat basinnevadautahidahocaliforniaoregonthermal conductivitymagnetotelluricsgravitymagneticsheat flowshapefilesgridssinterslipdilationearthquakesshearconductivityconductancegeotiffgeospatialcompilationdataregionaltufavolcanicsexplorationplay fairwaymodelingundiscovered systemsdiscoveryfavorabilityfaultsmachine learningelevation trenddetrended elevationseismic dataraw datasoda lake

Sentinel-1 Input Data for PSInSAR Analysis

Apr 29, 2021
305.43 GB
Publicly accessible
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a l...
Authors
Moraga, J. Colorado School of Mines
geothermalenergyinsarpsinsarsentinel-1synthetic aperture radarsatellite imagingaiartificial intelligencedeep learningmachine learningaerial photographyremote sensingsite detectionanomaly detectioninput datageologydisplacementsubsoilphenomenaprocessed dataradarimaginginterferometricanalysissoil deformationgeospatial data

Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

Sep 30, 2015
612.79 MB
Publicly accessible
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
Authors
E., T. Cornell University
geothermalappalachian basinwest virginianew yorkpennsylvaniadistrict heatinglow-temperaturedeep direct usecombined risk segment maprisk analysisgeothermal play fairway analysisgpfa-abpfarastershapefileshape filearcgisgisgeospatial dataseismicseismicityrisklow temperaturerisk factorplay fairway analysis

Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB)

Nov 15, 2015
2.04 GB
Publicly accessible
This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylva...
Authors
E., T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginialow-temperaturegeothermal play fairway analysisgpfa-abdeep direct usedistrict heatingthermal analysisresource assessmentheat flowthermal conductivitygeothermsshapefileregional gridrasterr scriptbasementtrenton black river projectsediment thicknessbht correctionrome troughgravitymagneticsworm based interpolation boundarieswormsrisk of seismicityoutlierthermal modelthermal fielddepth-to-temperaturetemperature-at-depthcross validationkrigingfavorable countiesarcgiscosunacorrelation of stratigraphic units of north americademdigital elevation modellow temperaturegeospatial datapfaplay fairway analysisthermal qualitycross-section
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