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GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
831.16 MB
Publicly accessible
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups incl...
Authors
Brown, S. et al Nevada Bureau of Mines and Geology
geothermalenergynevadamachine learningmap packagegispcanmfbnnannelmgeochemistrygeophysicsheat flowslip and dilationstructureplay fairwaypfaexplorationcharacterizationgreat basindlipdilationgeodatabasehydrothermaldatamodelsprocessed datapaleo-geothermal featurestest sittessupervisedunsupervisedcultural

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Sep 01, 2020
109.94 MB
Publicly accessible
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeothermal explorationhydrothermal mineral alterationsland surface temperaturefault densitypsinsarsubsidenceupliftbrady hot springsdesert peaknevadaconvolutional neural networkfallonmachine learningmodelhydrothermalmineraltemperaturerastergeospatial datageotifftraining datatraining dataset

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Brady's Geothermal Field Distributed Temperature Sensing Data

Mar 26, 2016
339.56 MB
Publicly accessible
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...
Authors
Patterson, J. University of Wisconsin
porotomodtsegsbradyfiber-opticstemperaturenevadaboreholeporoelastic tomographydistributed temperature sensinghot springs

Snake River Plain Play Fairway Analysis: Phase 1 Report

Jan 25, 2016
13.65 MB
Publicly accessible
This presents the results of Phase 1 of the Snake River Plain Play Fairway Analysis project, along with a proposed work for Phase 2. No new data were collected, but we list data sources for our compilation. The Snake River volcanic province (SRP) overlies a thermal anomaly that e...
Authors
Shervais, J. et al Utah State University
geothermalenergyplay fairway analysissnake river plainarcgisegsgisgeospatial datatemperaturestructureresource assessmentpfamodelingresourcecharacterizationmountain homesnake river mountain home modelingnumerical modelmagnetotelluricsmagnetotelluricgravitythermalsrpmtgeophysicsblindidaho

Shallow EGS Regional Resource Potential and Map Snake River Plain

Oct 30, 2020
9.83 MB
Publicly accessible
SMU Geothermal Lab developed a methodology to estimate shallow (1 km to 4 km) Enhanced Geothermal Systems (EGS) resource potential using an approach that utilizes recent geology and geophysical research along with new well data to improve the thermal conductivity model, mitigate i...
Authors
Batir, J. et al Southern Methodist University Huffington Department of Earth Sciences
geothermalenergysnake river plaintemperaturelithologyvelocityheat flowblmnrelthermal conductivityradiogenic heat productionoil and gas wellsenhanced geothermal systemegssrpshallowidahomodelmodelingradioactivityoregonbottom-hole temperatureforgepfaplay fairway analysisinterval equilibrium temperature logwell databorehole

Preserving the National Geothermal Data System's Geothermal Features and Observations Dataset (AASG-GDS)

Dec 08, 2025
Size unavailable
Publicly accessible
This repository provides access to legacy data from the Association of American State Geologists (AASG) node of the National Geothermal Data System (NGDS), which originally served as part of a nationwide, distributed network aggregating geoscientific information from state geologi...
Authors
Zaffos, A. and Richard, S. The University of Arizona
geothermalenergyngdsazgsngds-azgswell headersvolcanic eventsthermal springspower plant facilitiesrock samplesheat pump facilitiesgeothermal areasdirect use sitesabandoned minesactive faultsnational geothermal data systemassociation of american state geologistsaasgborehole lithologydrill stem testsheat flowhydraulic propertiesgeothermometrypower plant productionthermal conductivitywell fluid productionwell logswell testsradiogenic heatrock chemistryaqueous chemistry

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots

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