OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 25 of 105.
Show results per page.
Order by:
Available Now:
Filters
Topic
Technologies
Demonstration Sites
Data Type
"Ultrasonic Velocity"×

Utah FORGE: Stress Ratio Dependence of Ultrasonic Anisotropy in Well 16B(78)-32 Core

Apr 07, 2025
22.48 MB
Publicly accessible
This dataset contains high-pressure ultrasonic measurements on a foliated granitoid core from Well 16B(78)-32 at the Utah FORGE site. Ultrasonic P-waves and two orthogonal S-waves were measured concurrently parallel and perpendicular to the rock fabric. All measurements were mad...
Authors
Lisabeth, H. and Savage, H. Lawrence Berkeley National Laboratory
geothermalenergygeomechanicsanisotropyutah forgeegsultrasonic velocityseismic anisotropystress ratiohigh-pressurep-waves-wavethomsen parametersmicrofracturesfoliated granitoidconfining pressureucsccore analysisraw dataprocessed datavisualizationsrock mechanicsgeophysics

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

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

Jun 19, 2023
2.3 MB
Publicly accessible
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergymachine learningin-situ stressstress characterizationutah forgegeophysicsseismictriaxialstress predictionartificial neural networkmodelfeed forward artificial neural network

Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025

Jun 05, 2025
20.34 MB
Publicly accessible
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah16b78-32in-situ stressultrasonic velocityutah forgeegs16bmachine learningtrue triaxial testingsonic logsstress predictionfar-field stressthermo-poro-mechanicalmodelingdeep learningfinite element modelgeothermal reservoirstress profilingstress anisotropytechnical report

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report

Dec 22, 2025
2.43 MB
Publicly accessible
This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...
Authors
Bunger, A. et al University of Pittsburgh
geothermalenergyin-situ stress estimationutah forgewave velocitythermo-poro-elastic modelingmachine learningegsnear-wellbore stressfar-field principal stressstress anisotropyphysics-based modelingfinite element modelingsonic logtuvtechnical reportreservoir characterization

Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

May 05, 2021
Size unavailable
Publicly accessible
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Authors
Marone, C. Pennsylvania State University
geothermalenergyseismicactive sourcelaboratoryfriction experimentultrasonicgeophysicsmicroseismicitylab dataraw datawaveformsmechanical datapreprocessedmatlabacousticsacousticbiaxial testing apparatusultrasonic acoustic monitoring systemmachine learningdeep learningaiartificial intelligenceseismic forecastingearthquake forecastingfault

Utah FORGE: Well 16B(78)-32 Logs from Schlumberger Technologies

Sep 14, 2023
24.66 GB
Publicly accessible
This dataset is a collection of well logs provided by Schlumberger Technologies from the Utah FORGE well 16B(78)-32 drilling project. Information here includes critical borehole information collected by an ultrasonic borehole imager (UBI) and a fullbore formation microimager (FMI)...
Authors
May, D. and Jones, D. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16b78-32well 16b78-32 logsschlumberger logswell 16b78-32 schlumberger logsutah forge well logswell logs11.5 inch intermediate casing logslog halfway down tangent at 8585 ftlog though the end of build at 6938 ftprocessed fmi and ubiprocessed sonicwireline datatemperature logsdip logcasing logcement bond logcement logfmi logubi logsonic logbreakoutinduction logthoughbitcbl16b16b78-32

Utah FORGE: Direct Shear Test Data for Investigating Seismic Precursors to Shear Failure of Fractures

Jun 11, 2024
3.13 MB
Publicly accessible
This dataset includes results of direct shear tests to investigate the mechanical and geophysical response of dry and saturated fractures in Indiana limestone and Sierra White granite. Direct shear tests were performed on tensile-induced fractures in Indiana limestone and Sierra W...
Authors
Han, K. et al Purdue University
geothermalenergyutah forgesaturationgranitesierra white granitelab testdirect shear testshear strengthshear stressgeophysicsp-waves-waveexcelprocessed dataelastic wave propagationegslaboratory datarmreshearfracturesindiana limestonetransducer

Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite

Sep 20, 2026
Size unavailable
Curated
This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degr...
Authors
Nakata, N. and Pec, M. Lawrence Berkeley National Laboratory
geothermalenergyaegranitelaboratory experimentpermeabilityfracture networksstressstrainseismic monitoringraw datatraffic lightdifferential stress

Utah FORGE: Direct Shear Tests on Saturated Sierra White Granite Joints at Elevated Temperatures

Nov 24, 2025
2.38 MB
Publicly accessible
This dataset contains results from laboratory direct shear experiments performed on tension-induced fractures in Sierra White granite under saturated conditions at target temperatures of 50 C and 100 C. The data were collected using a custom water-pressurized chamber equipped with...
Authors
Han, K. et al Purdue University
geothermalenergyutah forgesaturationgranitesierra white granitelab testdirect shear testshear strengthshear stressgeophysicsp-waves-waveelastic wave propagationegslaboratory datafracturesdirect shearraw datageomechanicssaturated fracturesshear displacementeffective normal stresspore pressureultrasonic measurementsgeophysical responserock mechanicsstimulation

Utah FORGE: Well 78B-32 Daily Drilling Reports and Logs

Aug 09, 2021
11.89 GB
Publicly accessible
This data set includes the daily drilling reports and Pason data for well 78B-32 and Schlumberger logs acquired after drilling completion. This well was drilled between June 27th and July 31st of 2021. Also included is raw and processed data for a variety of well data metrics incl...
Authors
McLennan, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 78b-32well 78b-32 fmi logswell 78b-32 ubi logswell 78b-32 drilling datautah forge well 78b-32daily reportsdaily drilling reportsprocess dataraw datagamma rayporositylogscementtemperaturedensityresistivityfractureubifmisonicwell databoreholewelldatagammadrillingreportscblcement bond logpason data

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

Bradys Geothermal Field MEQ Relocations 3D Velocity Models

Jul 01, 2015
186.79 kB
Publicly accessible
Hypocenters of local microearthquakes and 3D P and S-velocity models computed by simultaneous inversion of arrival times recorded by the Brady seismic network Nov 2010-Mar 2015.
Authors
Foxall, W. University of Wisconsin
geothermalmicroearthquake locationssimultaneous inversion3d seimic velocity modelsd seismic velocity modelmicroeathquake locationsmetadatameqmicroearthquakemicroseismicityrelocationsvelocitymodel3dporotomobradyseismicitybrady hot springsbradys

Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model

Jan 30, 2023
5.8 MB
Publicly accessible
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation. A preliminary 3D velocity model for the larg...
Authors
Gritto, R. Array Information Technology
geothermalenergy3d seismic velocity modelseismic resolutionseismicgeophysicsreservoirmodelvelocityforgeutah forgeegscharacterizationreportpreliminarymilfordphasenetneural networkingmachine learningdeep learning

Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model

Nov 12, 2025
1.08 GB
Publicly accessible
This dataset provides an empirical three-dimensional P and S-wave velocity model covering a 30 x 30 km area and extending to 10 km depth around the Cape Modern EGS and Utah FORGE sites. It incorporates three-dimensional topography and a sediment/basement contact derived from geoph...
Authors
Nakata, N. et al Lawrence Berkeley National Laboratory
geothermalenergyvelocitycape modernseismicseismic velocityvelocity modelp-waves-waveutah forgeenhanced geothermal systemsegscape egssubsurface characterizationnetcdfborehole velocityempirical model3d model

Utah FORGE: Composite 3D Seismic Velocity Model

Feb 09, 2024
1.56 MB
Publicly accessible
This is a composite 3D seismic velocity that was constructed from compiled information from several local studies regarding seismic velocities and structural information. This seismic velocity model is provided in NonLinLoc format (slow_len), which is readily usable in NonLinLoc ...
Authors
Finger, C. et al University of Utah Seismograph Stations
geothermalenergyutah forgeseismic modelseismic velocity modelseismic velocityseismicityroosevelt hot springmilfordutah geothermalegs3d seismic velocity modelpythonnonlinloccomposite modelcodeseismicgeophysicssubsurface model

Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

Apr 30, 2022
15.3 MB
Publicly accessible
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Authors
Vasco, D. and Chan, C. Array Information Technology
geothermalenergyseismic velocity modelseismic resolution3d p-wave3d s-waveseismicraw dataprocessed datawell 16a-32utah forge

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

Fallon FORGE: Vs30m Seismic Velocity

Mar 12, 2018
3.53 MB
Publicly accessible
Time-averaged shear-wave velocity to 30 m depth about the Fallon, NV FORGE site.
Authors
Blankenship, D. and Kaven, J. Sandia National Laboratories
geothermalenergyforgeegsfallonseismicityvs30nevadashearwavevelocityvetted-nogeophysicsseismicnvs-wave

Utah FORGE: Seismic Velocity Models, February 2021

Feb 28, 2021
10.92 MB
Publicly accessible
This dataset contains a map, showing the Utah FORGE seismic stations, and seismic velocity model data. There are 61 1-D velocity models which are in a compressed TAR file. A paper is referenced at the end of this description which discusses the use of these data in 3D modelling. T...
Authors
Pankow, K. Energy and Geoscience Institute at the University of Utah
geothermalenergyseismic data1d seismic velocityseismic velocityutah forgeforgeutah geothermalvelocity modelsseismicvelocityspacspatial auto-correlationpseudo-3dgeophonebayesian monte carlo inversionmodelingmodeldistributed acoustic sensinggeospatial datasedimentary basinwaveform inversionseismic noisegeophysicstaregsroosevelt hot springsutahmilford

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: Well 58-32 Granite Core Thermal Properties Test Results Report (Oct. 2021)

Oct 29, 2021
1.12 MB
Publicly accessible
This is a presentaiton from Metarock Laboratories on the thermal properties of Utah FORGE well 58-32 granite core. The presentation includes pictures of core samples, core details for the samples (sample depths and size), sample thermal expansion test results, and radial velocity ...
Authors
Laboratories, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegswell 58-32well 58-32 granite thermal propertiesutah forge granite thermal propertieswell 58-32 graniterock thermal propertiesthermal expansiontesttestinggranite testingcore testinggranite core testingradial velocity testingradial velocitythermal expansion testingutah forge granitethermal propertiesforgetemperaturepresentationtemperature monitoringwell datacharacterizationcore data

Brady 1D Seismic Velocity Model Ambient Noise Prelim

Oct 25, 2013
0.97 kB
Publicly accessible
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
Authors
J., R. Lawrence Livermore National Laboratory
seismicvelocity modelbradysseismic velocitygeothermalnevada

Newberry Volcano Joint Active-Source and Teleseismic P-Wave Tomography Slowness Model and Processing Code

Dec 14, 2015
3.54 GB
Publicly accessible
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
Authors
Heath, B. et al University of Oregon
geothermalenergynewberry volcanoseismic tomographyp-waveslownessslowness modelvelocity modelactive-source seismologyteleseismic delay timesjoint inversionupper crustmatlabdeepenprocessed datageophysicssuperhot

Utah FORGE: Well 16A(78)-32 Logs

Mar 08, 2021
10.01 GB
Publicly accessible
This dataset contains all well logs from Utah FORGE well 16A(78)-32. This includes the mud log, Sanvean Technologies logs, and Schlumberger logs. Please see the file descriptions below for information about each log.
Authors
Gilmour, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergywell 16a78-32 drilling logsutah forgeforgewell 16a78-32 sanvean logswell 16a78-32 schlumberger logswell 16a78-32 mud logutah geothermalwell dataloggingmud logsanvean logsschlumberger logs16a78-32well logegssanveanschlumbergerlithologyfmiformation microimagerfullborewellborecorecharacterizationdrillgeologydrill ratemineralstemperaturerate of penetrationropdrill stem test
12345Next >>
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service