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High-Temperature Inorganic Self-Healing Inorganic Cement Composites

Sep 13, 2017
1.42 MB
Publicly accessible
The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...
Authors
Pyatina, T. and Sugama, T. Brookhaven National Laboratory
geothermalenergycarbon steelbond strengthcement-carbon steel bond strength recoveryhigh temperature cementself-healinghigh tempself healingstrength recoveryrepeated damagehigh temperaturescement compositesaged samplesclaypozzolanself-healing cementhigh temperaturepozzolanachemicalinorganiccementhigh-tempcompositeintegritytechnologywellbore

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

Nevada Great Basin Play Fairway Analysis Regional Data

Oct 28, 2015
260.6 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. Nevada Bureau of Mines and Geology
geothermalnevadaearthquakesquaternary faultsgeodetic straingravityfavorabilitypermeabilitywellsspringsstructurestransmission linesexplorationwildernessheatiso 240iso 267hgmgravity stationsstrain ratemt stationsquaternaryfaultsslip ratesummed slipdilation tendencyerrordirect evidenceinputmodeldegree of explorationmagnitudedepthlocationfairwaybenchmarks130ccombined permeabilityfaultbufferexploration opportunitiesanomalous valuespower plantsgreat basingeothermal systems3kmtemperature modelquaternary faultrecencystudyhorizontalgradient2.40g/ccphase 2second invarianthorizontal gravity gradientregional permeabilityearthquakedilation potentialslip ratesslip tendencysummed dilationfault namepowertransmission20kmtemperaturegeothermometerforest serviceblmusfsndotroadsmxdmaparcgismpkmap packagenv great basingeospatial datadataarc

GHPsRUS: Geothermal Heat Pump Employment and Installation Price Data

Jul 09, 2013
5.55 MB
Publicly accessible
The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project G...
Authors
Battocletti, L. Bob Lawrence and Associates, Inc.
geothermalgeothermal heat pumploop installation pricemechanical equipment installation priceemploymentgeographic locationmanufacturersindustryghpcost-benefit

COMSOL Models and Simulation Results for Closed-Loop Geothermal Systems with Thermal Enhancements

Dec 15, 2023
91.3 MB
Publicly accessible
The Closed-Loop Geothermal Working Group and the National Renewable Energy Laboratory (NREL) have studied the performance of disc-shaped and linear thermal enhancements (conductive material introduced around a wellbore) in closed-loop geothermal systems. COMSOL models were develop...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergythermal enhancementscosmolsimulationmodelclosed-loopsteady-statetransientsimulation resultsassessmentclosed loop geothermal

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022
1.04 GB
Publicly accessible
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Authors
Ahmmed, B. Stanford University
geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines

Mar 30, 2018
4.93 MB
Publicly accessible
In this study, we have undertaken a robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) Turboexpander and steam turbines used in geothermal power plants. We collected a range of market data influencing manufacturing from...
Authors
Akar, S. et al National Renewable Energy Laboratory
geothermalenergymanufacturingturboexpanderorcsteam turbinevalue chainpower plantclean energy manufacturing analysis center

Nanofiltration Results: Membrane Removal of Calcium, Magnesium, Sodium, Silica, Lithium, Chlorine, and Sulfate from Simulated Geothermal Brines

Feb 06, 2016
35.91 kB
Publicly accessible
Results from a nanofiltration study utilizing simulated geothermal brines. The data includes a PDF documenting the process used to remove Calcium, Magnesium, Sodium, Silica, Lithium, Chlorine, and Sulfate from simulated geothermal brines. Three different membranes were evaluated...
Authors
Renew, J. Southern Research Institute
membrane nanofiltrationcalcium removalmagnesium removalsodium removalsilica removallithium removalchlorine removalsulfate removalmineral recoverynanofiltrationsimluated geothermal brinesilicachlorinesulfatelithiumsodiumcalciummagnesium

GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

Sep 30, 2019
29.51 MB
Publicly accessible
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Authors
Geothermal Technologies Office, U. National Renewable Energy Laboratory
geothermalenergygeovisionreeds modeldgeo modelfuture scenariosresource potentialcapacity expansionmodelingsystems analysisghpground source heat pumpgeothermal conductivitygeographic information systemgisgtcdistributed energy resourcesdersdistributed geothermal market demand modelnrelregional energy deployment systemrenewable analysiswater use analysissupply curve inputselectricity sectorair quality impactswater impacts

Lithium Sorption from Simulated Geothermal Brine: Impact of pH, Temperature, and Brine Chemistry

Feb 06, 2016
65.55 kB
Publicly accessible
Lithium sorption information from experiments. Data includes the effects of pH, temperature and brine chemistry on the sorption of Lithium from a simulated geothermal brine. The sorbent used in the experiments is "hydrothermally produced, Spinel-LiMn2O4". The sorbent was produ...
Authors
Renew, J. Southern Research Institute
geothermalmineral recoverylithium removalph effecttemperature effectbrine chemistry effectsimulated brinelithium sorptionsimulated geothermal brinebrineuptakelithiumli

Google Earth Locations of USA and Seafloor Hydrothermal Vents with Associated Rare Earth Element Data

Feb 10, 2016
10.61 kB
Publicly accessible
Google Earth .kmz files that contain the locations of geothermal wells and thermal springs in the USA, and seafloor hydrothermal vents that have associated rare earth element data. The file does not contain the actual data, the actual data is available through the GDR website in t...
Authors
Fowler, A. University of California
geothermalreeseafloorusahydrothermallocationsgoogle earthrare earth elementshydrothermal ventthermal springsgeothermal springsrare earth elementfluidmormid ocean ridgegeospatialgeospatial data

McGee Mountain Shallow (2m) Temperature Survey, Humboldt County, Nevada 2009

Jan 01, 2009
12.49 kB
Publicly accessible
This shapefile contains location and attribute data for a shallow (2 meter) temperature survey conducted by Geothermal Technical Partners, Inc. during late 2008 and early 2009. Temperatures at 2m depth were measured at 192 separate points as outlined by Coolbaugh et al., 2007. The...
Authors
Zehner, R. Geothermal Technical Partners, Inc.
geothermalshallow temperature surveymcgee mountainhumboldt countynevada2-meter surveyheat flowshapefiletemperatureshallow thermal anomalyanomaly detectiongeospatial data

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical

Modeling Responses of Naturally Fractured Geothermal Reservoir to Low-Pressure Stimulation

Jan 01, 2012
4.09 MB
Publicly accessible
Hydraulic shearing is an appealing reservoir stimulation strategy for Enhanced Geothermal Systems. It is believed that hydro-shearing is likely to simulate a fracture network that covers a relatively large volume of the reservoir whereas hydro-fracturing tends to create a small nu...
Authors
Fu, P. and Carrigan, C. Lawrence Livermore National Laboratory
geothermalhydraulic fracturinghydraulic shearingreservoir stimulationreservoir modelingdiscrete fracture networkenhanced geothermal systemegshydro-shearing

Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016

Jun 01, 2016
83.98 kB
Publicly accessible
List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.
Authors
Robertson, M. University of Wisconsin
geothermalporotomoegsseismic monitoringseismic networkseismicitymicroseismicityinduced seismicitymeqbradybradys geothermal fieldbradys hot springsearthquake catalogearthquakestimulationgeophysicsgeophysicalseismic

Investigation of Stimulation-Response Relationships for Complex Fracture Systems in Enhanced Geothermal Reservoirs

Jan 01, 2011
7.34 MB
Publicly accessible
Hydraulic fracturing is currently the primary method for stimulating low-permeability geothermal reservoirs and creating Enhanced (or Engineered) Geothermal Systems (EGS) with improved permeability and heat production efficiency. Complex natural fracture systems usually exist in ...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalenhanced geothermal systemegsdiscrete fracture flowmodelingreservoir stimulationstimulationhydraulic fracturing

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

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

Play Fairway Analysis CA-NV-OR: Medicine Lake 2km MT

Aug 05, 2015
6.14 kB
Publicly accessible
Magnetotelluric (MT) data for Medicine lake with 2km grid.
Authors
M, C. University of California
geothermalmagnetotelluricmedicine lakemtpfaresistivityconductivitycaliforniacaca-nv-orplay fairway analysisexplorationcharacterizationgeophysics

Silica Precipitation from Geothermal Brines: Effects of Iron Addition, Kinetics, Temperature, pH, and Brine Concentration

Feb 06, 2016
239.79 kB
Publicly accessible
This document provides results of experiments aimed at removing silica from geothermal brines. All experiments were conducted with simulated brines. The data presented shows the effect of iron addition, kinetics, temperature, pH and brine concentration.
Authors
Renew, J. Southern Research Institute
geothermalsilica precipitationph effectiron to silica ratiotemperature effectbrine concentration effectkinetic effectsilicaphkineticstemperatureprecipitationsiironfe

Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure

Jan 31, 2012
6.63 MB
Publicly accessible
This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalreservoir modelinghydraulic shearinghydraulic fracturingfracturereservoir stimulationlow pressurestimulation

OM300 Direction Drilling Module

Aug 22, 2013
39.67 kB
Publicly accessible
OM300 Geothermal Direction Drilling Navigation Tool A prototype directional drilling navigation tool capable of high temperature operation in geothermal drilling with: Accuracies of 0.1 degree Inclination and Tool Face, 0.5 degree Azimuth Environmental Ruggedness typical of existi...
Authors
MacGugan, D. Honeywell International, Inc.
geothermaldirectional drillingsoinavigationhigh temperatureelectronicsmodulesilicon-on-insulatordata archive

West Flank Coso FORGE: Indian Wells Valley Aeromagnetic Data

Nov 01, 1994
155.13 MB
Publicly accessible
Aeromagnetic data was collected over the Indian Wells Valley, CA in November 1994. It consisted of 9,033 line-kilometers covering ~4,150 square kilometers, flown at a 250 meter drape with principal line spacing of 0.54 kilometers and 10% cross-lines. The principal orientation is N65E.
Authors
Katzenstein, A. et al Sandia National Laboratories
geothermalgeophysicsindian wells valleycoso geothermal fieldcaliforniaforgegeophysical surveyaeromagneticsurveymagneticmagneticscosowest flankdatageospatial data

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

Aug 30, 2024
743.47 MB
Publicly accessible
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Authors
Jogineedi, R. et al GTI Energy
geothermalenergycommunity geothermalgeothermal sizingborehole testinggeothermal heat pumpworkforce developmentbuilding energy modelingground heat exchangergeothermal network designcommunity engagementcommgeohinesburgvermontmodelicaenergyplusonepipepythonmodelingthermal conductivity testreportenergy modelborehole designhourly energy loadssizinggeothermal loop sizingsystem designdevelopment

An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Geothermal Behavior with Example Simulations on The Treasure Island and UC Berkeley Campus

Aug 01, 2021
186.08 MB
Publicly accessible
This submission contains the source code of the Hydrothermal Finite Element Simulator used for the Treasure Island and UC Berkeley campus geothermal simulation. It contains a report that summarizes the development and validation of this Hydrothermal Finite Element Simulator, with ...
Authors
Chen, K. et al Lawrence Berkeley National Laboratory
geothermalenergyfinite elementcoupled hydrothermal modelingcommunity scaleground source heat pumpparallel computingdeal.iidistrict heating and cooling systemsubsurface heat responsetreasure islanduc berkeley campuscsimulationuc berkeleydistrict heatingdistrict coolingenergy deliverygeothermal storagegoethermal energy storageenergy storage
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