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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

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

Aug 16, 2018
30.41 MB
Publicly accessible
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Authors
Feigl, K. and Batzli, S. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarinterferometric synthetic aperture radarmodelingreportprocessed dataground deformationhydromechanical modelingfinite-elementgpssurface displacement

Utah FORGE 3-2535: Final Report on Joint Electromagnetic, Seismic, and InSAR Imaging of Fracture Growth During EGS Resource Development

May 30, 2025
2 MB
Publicly accessible
This dataset contains the final technical report for the project Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development, carried out from 2021 to 2025 by Lawrence Berkeley Natio...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsseismicelectromageneticgeodeticdistributed fiber-optic sensingdata acquisitiondata processingdata interpretationtechnical reportinsarfracture growthfracture propertiesgeophysicsgeomechanics

Pressure-Temperature Simulation at Brady Hot Springs

Jul 11, 2017
2.96 MB
Publicly accessible
These files contain the output of a model calculation to simulate the pressure and temperature of fluid at Brady Hot Springs, Nevada, USA. The calculation couples the hydrologic flow (Darcy's Law) with simple thermodynamics. The epoch of validity is 24 March 2015. Coordinates are ...
Authors
Feigl, K. Temple University
geothermalenergyinsar-meqporotomoinsarmicroseismicitymeqmicroearthquakeseismicityinducedsimulationpressuretemperaturebradybrady hot springs

Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

Apr 28, 2025
1.29 MB
Publicly accessible
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsdistributed strain sensingdssfiber-optic sensingmicroseismicityfracture stimulationgeodetic monitoringinsarsubsurface deformationhydraulic fracturingseismicityfracture modelingreservoir characterizationtechnical reportprocessed dataapril 2024stimulation

Porotomo: InSAR Data from San Emidio Geothermal Field, Nevada, 1992-2010

Jun 25, 2019
219.34 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering San Emidio Geothermal Field in Nevada, USA as part of the porotomo project. Data included within this submission are the following: > ENVI_T120_GDR.tgz: Tarred direc...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergysan emidiointerferometric synthetic aperture radarinsarenvisatenviersdemremote sensinginterferometricsynthetic aperture radarpairdigital elevation modelsatellitedeformationporotomonterferometric synthetic aperture radarinterferogramsgmt5sargoldstein filteruniversal transverse mercatorraw synthetic aperture radarsarwinsarunavcoeuropean space agencysqueesareasting gradient filesgeospatial data

InSAR Maps of Deformation Covering Raft River, Idaho from 2007 to 2010

Mar 11, 2007
196.13 MB
Publicly accessible
This dataset contains maps of deformation covering Raft River, Idaho from 2007 to 2010 calculated from interferometric synthetic aperture radar data. This dataset is used in the study entitled "Inferring geothermal reservoir processes at the Raft River Geothermal Field, Idaho, US...
Authors
Reinisch, E. University of Wisconsin
geothermalenergyraft river geothermal fieldinsarenvisatsatelliteinterferometric synthetic aperture radaregsreservoir developmentreservoir modeling

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

Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016

Jun 25, 2019
648.26 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA. Explanation of pair subdirectories: Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011). ...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergyinsardemcoso geothermal fieldcaliforniaenvienvisats1asentinel-1aremote sensingcosotrack 349track 64pairgmt5sardigital elevation modelraw dataprocessed datageospatial dataphaseporotomocharacterizationhydrothermalhigh temperatureradar

Utah FORGE 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Apr 29, 2022
17.77 MB
Publicly accessible
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyinsarground deformationcompressional velocity modelegsremote sensingwell characterizationwell 16awell 16butah forge

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: 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

Exploration Best Practices on OpenEI

Sep 20, 2013
63.84 kB
Publicly accessible
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Authors
Young, K. National Renewable Energy Laboratory
geothermalexplorationgeophysicsopeneiremote sensingconceptual modelsexploration costsbest practicesloggingdrillinggeochemistryresistivity surveymt surveyelectromagnetic surveygravityseismicisotopelidarhyperspectralmultispectralswirflirinsarsarreflectionrefractonmagneticsdc resistivity2-m probewell loggingdatabase link

Brady Geothermal 1D Seismic Velocity Model

Feb 17, 2015
90.17 kB
Publicly accessible
This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
Authors
Matzel, E. Lawrence Livermore National Laboratory
geothermalseismic velocity modelinsarambient noisebrady geothermal seismic modelseismicseismic velocity1d

Utah FORGE: Phase 2C Topical Report

Dec 11, 2019
147.81 MB
Publicly accessible
This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...
Authors
Moore, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyforgeutah forgeutah forge phase 2c reportphase 2c topical reportutah forge phase 2cegsmoderate rate injection testsmicroseismicdistributed acoustic sensingdasseismic reflection surveygravity measurementsinsarstimulatednumerical reservoir modelsalluvium-granitoidinjection testingmilfordroosevelt hot springsoverviewresultslessonslearnedconclusionspermittingcharacterizationsitedata inventoryconceptualgeologicmodelgeophysicsseismicgravitygeologyfeasibilitytechnicalinjection testmicroseismicityremote sensingmodelingstimulation

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

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

A Conceptual Geologic Model for the Newberry Volcano EGS Site in Central Oregon: Constraining Heat Capacity and Permeability through Interpretation of Multicomponent Geosystems Data

Feb 22, 2016
Size unavailable
Publicly accessible
Newberry Volcano, a voluminous (500 km3) basaltic/andesitic/rhyolitic shield volcano located near the intersection of the Cascade volcanic arc, the Oregon High Lava Plains and Brothers Fault Zone, and the northern Basin and Range Province, has been the site of geothermal explorati...
Authors
Mark-Moser, M. et al National Energy Technology Laboratory
geothermalegsenhanced geothermal systemnewberryoregonnewgenmodelgeologygeophysicsconceptual modelmodelingconceptualgeologicheat capacitypermeabilitygeophysicalmulticomponentvolcano

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

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