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Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project

Mar 06, 2019
242.91 MB
Publicly accessible
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....
Authors
Feigl, K. and PoroTomo Team, . University of Wisconsin
geothermalenergyporotomoseismologygeodesyhydrologynevadabrady hot springsporoelastic tomographyinversionmodeling3dmaterialpropertiesunconsolidatedfracturedshallowstructuraltrendsgeologystrikedipthermal contractionpressuresubsidencepumpinghydraulic conductivityrateseismic amplitudefaultzonepermeableconduitfluidreservoirconceptualmodelpropertydensityp-waves-waveseismicvelocityyoungs moduluspoissons ratiointerferometrytemperaturelithologystrain rate

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython

High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

Nov 30, 2021
7.92 MB
Publicly accessible
High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.
Authors
Salehi, S. and Vivas, C. University of Oklahoma
geothermalenergylost circulation materialshpht filtrationfracture sealingparticle size distributionrheologydrilling fluid additivesgelationthermal degradationhigh pressure high temperaturepsdtemperaturemodeldrillingwellboreexperimenttechnologyprocessed datalcm

Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Dec 13, 2022
201.16 MB
Publicly accessible
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Authors
Bunger, A. et al Battelle Memorial Institute
geothermalenergyutah forgein-situ stresslaboratorymodelingfield measurementtuvtriaxial ultrasonic velocitydeformation rate analysisdraweight of evidencewoeegsstress testcharacterizationwell datageophysicsforge16a78-32

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

Utah FORGE 8-3637: Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency 2026 Workshop Presentation

Sep 30, 2026
38.85 MB
Awaiting curation
This is a presentation on Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency by the Texas Tech University, presented by Smith Leggett. The project is developing integrated fiber-optic sensing, chemical tracer, and numerical modeling approaches to characterize fractu...
Authors
Leggett, S. Texas Tech University
geothermalenergy

WISE-CASING: Time Domain Reflectometry Data from Cymric Field, CA

Feb 21, 2019
2.5 MB
Publicly accessible
The objective of this field test is to validate several technologies for non-invasive well integrity assessment using existing wells with a known completion. The tests were made at the Cymric oil field, which is a steam flood operation. The wells therefore undergo similar downhole...
Authors
Wang, J. Lawrence Berkeley National Laboratory
geothermalenergytdrfield testsyclic steamwellsgeophysicstime domain reflectormetryinput pulse frequencywellwellborecasingintegritywise-casingcymricfieldoilsteam floodemelectromagneticdatakern countyhigh frequencycorrosionboreholeexperimentsensingassessment

Utah FORGE: GPS Data Deformation Monitoring

Jun 24, 2019
349.04 MB
Publicly accessible
This data bundle contains raw GPS data files and resulting data using Trimble Business Center and NOAA OPUS to process the GPS data in spreadsheets with station coordinates and elevations. A map of station locations is included along with the final processing report which includes...
Authors
Erickson, B. and McKean, A. Energy and Geoscience Institute at the University of Utah
geothermalenergygps datautah forgedeformation monitoringutah geothermalgpsdeformationhorizontal velocitygeodesystructuralgeologynoaaopustbcutah geological surveygnssforgesystems analysisphase 2cmonitoringtrimblepstmpsdmmilfordroosevelt hot springsutahraw dataprocessingpre-processingreportegsremote sensingstation coordinatesprocessed data

Nationwide Heat Flow, Well Data, and Related Files in the SMU Node of the National Geothermal Database System (NGDS)

Mar 01, 2014
21.6 GB
Publicly accessible
This dataset compiles heat flow and temperature gradient data from over 44,000 wells across the United States, along with more than 6,000 related geothermal exploration resources. Originally assembled prior to 2014 for the now-retired National Geothermal Data System (NGDS), the co...
Authors
Blackwell, D. et al Geothermal Laboratory, Southern Methodist University
geothermalenergyheat flowtemperature gradientbhtwell datangdsgeothermal explorationthermal conductivityradiogenic heatoil and gas wellsgeothermal wellssubsurface datageological dataprocessed datatechnical reportspublicationsgeothermal mappingngds-smusmu node

Utah FORGE: InSAR Data 2019

Jul 01, 2019
478.35 MB
Publicly accessible
This dataset contains Interferometric Synthetic Aperture Radar (InSAR) data used for ground deformation monitoring during Phase 2C of the Utah FORGE project. The dataset includes measurements of the mean rate of range change and associated standard errors, provided in both CSV and...
Authors
Feigl, K. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge phase 2cutah forgeinsarutahground deformation monitoringdigital elevation modelsynthetic aperture radarsarradarsynthetic aperturesatelliteinterferometricmilfordroosevelt hot springsphase 2cgeodeticsegsimagingremote sensingforgedeformationground deformationprocessed datageospatial data

Structural Controls of the Tuscarora Geothermal Field, Elko County, Nevada MS Thesis

May 31, 2013
17.99 MB
Publicly accessible
Detailed geologic mapping, structural analysis, and well data have been integrated to elucidate the stratigraphic framework and structural setting of the Tuscarora geothermal area. Tuscarora is an amagmatic geothermal system that lies in the northern part of the Basin and Range pr...
Authors
Dering, G. and Faulds, J. University of Nevada
geothermalgreat basinbasin and rangestructural controlstuscarora geothermal areastep-overaccommodation zonethesisthesis paperelko countynevadanvtuscarora geothermal fieldtuscarorastratigraphygeologic mapgeologystructural analysiswell datastructural geologydrill-hole datafault intersection

Fallon FORGE: LiDAR Acquisition and Processing Report

May 23, 2016
35.38 MB
Publicly accessible
The data is associated to the Fallon FORGE project and includes LiDAR from the Navy GPO. Also included are geologic maps from the USGS and Nevada Bureau of Mines and Geology for the Fallon, NV area.
Authors
Bucher, K. et al Sandia National Laboratories
geothermallidarforgeegsfallonnevadanas fallonnavy gpogeologyremote sensingreportprocessingacquisition

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

May 31, 2019
4.48 MB
Publicly accessible
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
Authors
McLing, T. et al Idaho National Laboratory
energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

Utah FORGE: InSAR Data from 2020

Dec 24, 2020
982.9 MB
Publicly accessible
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2021

Nov 30, 2021
1.19 GB
Publicly accessible
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2022

Nov 30, 2022
350.4 MB
Publicly accessible
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone

Nov 15, 2022
885.78 kB
Publicly accessible
This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic bore...
Authors
Um, E. et al Lawrence Berkeley National Laboratory
geothermalenergyegsremote sensingwell characterizationutah forgewell 16awell 16b

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone

Feb 06, 2023
6.08 MB
Publicly accessible
Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning...
Authors
Um, E. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsremote sensingwell characterizationwell 16awell 16b

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Feb 08, 2023
6.91 MB
Publicly accessible
Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...
Authors
Norbeck, J. et al Fervo Energy
geothermalenergyutah forgeplug-and-perf stimulationwell stimulationfervo energyplug-and-perfplug and perffervotechnicalassessmentfeasibilityhydraulicstimulationinjection testprocessed datablue mountainnevadaegswell 73-22well 34a-22well 34-22near-field egshorizontal drillingproppantheat in placestate of stressfiber optic sensing

Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024

Jul 17, 2024
19.15 GB
Publicly accessible
The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This data includes interferometric pairs created using GMT-SAR processing software, chosen for their short orbital separat...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarterrasar-xtandem-xsatelliteremote sensingnetcdfgmt-sardemdigital elevation model

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Jul 28, 2016
3.96 MB
Publicly accessible
Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Authors
Reinisch, E. University of Wisconsin
energyporotomoinsartime seriestemporal adjustmentgraph theoryporoelastic tomographythesispapermodelparametersmodelingtime-dependenttime-varyingweighted least-squaresinversionradarinterferometricsynthetic aperturelaplaciancovariancematrixmatlabgraphtreetaalaskaakokmokvolcanomagmavolumemethodimplementationapplicationviscousflowviscoelastic relaxationremote sensing

Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

Dec 01, 2022
3.23 MB
Publicly accessible
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Authors
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsforgemodelingresistivity modelremote sensingwell characterizationwell 16awell 16b

WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

Apr 30, 2019
570.83 kB
Publicly accessible
For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...
Authors
Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory
geothermalenergyemem3dcamiborehole logsdc modelsandiasimulationfield dataelectrostatic rsponseelectric fieldshierarchical modelinglow frequency em methodvalidationwise-casingcontainment and monitoring institutecmcnumericalfemfielddatafdemsimulatedmodelingmodellingcanadalow frequencyfrequency domaingeophysicsboreholecorrosionintegritywellborewellpotential fieldexcitation5 hzelectromagneticcasingelectric fieldforwardexperiment

Utah FORGE: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test

Mar 31, 2025
57.32 MB
Publicly accessible
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Authors
Sausan, S. et al Stanford University
geothermalenergychloridechemical toolwirelineutah forgeisegeothermal loggingchloride sensorion-selective electrodeinflow detection58-3216b78-32chemical logging toolpoohpull out of holerihrun in holehigh-temperature toolcirculation testpressure-temperature-depthfield logging dataelectrochemicalchloride concentrationfracture characterizationreservoir charecterizationraw dataprocessed datatechnical reportvisualizations
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