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 37.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"Direct-Use"×
Stimulation and Microseismicity×

Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Dec 04, 2018
62.49 MB
Publicly accessible
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Authors
Streig, A. and Wells, R. Portland State University
geothermalenergyddudeep direct-usethermal energy storageddu-tesseismicityearthquakefaultstructural geologymagnitudeeventmicroseismicityportlandbasinoregonormodelfeasibilityoatfield faulteast bank faultgales creek faultmount angel faultnewberg faultfrontal faultbolton faultcanby-molalla faulthelvetia faultbeaverton faultsherwood faultdip directiondip anglefault length

Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

Jun 29, 2020
Size unavailable
Publicly accessible
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Authors
Bershaw, J. et al Portland State University
geothermalenergymodelrtesportland basinoregonsutratessimulationviscositydensityflowstimulationhydraulicaquifersalinebrackishporositywell-spacingwell datadistrict heatingheatingcoolingthermal efficiencyheat fluxtemperaturevolumepumping rate

Appalachian Basin Play Fairway Analysis Gravity, Magnetics, and Earthquake Data

Jul 20, 2016
151.65 MB
Publicly accessible
This archived dataset contains magnetic and gravity imaging data for the Appalachian Basin, compiled using Poisson Wavelet Multiscale Edge Detection, referred to as 'worm' for brevity, and stored in a PostGIS database, along with shapefiles and CSVs of relevant data. The archive ...
Authors
Horowitz, F. Cornell University
geothermalinduced seismicitygravitymagneticspoisson wavelet multiscale edge detectionwormsworld stress mapearthquakeseast coast earthquakesshapefilesgispostgissqlappalachian basinnew jerseynew yorkwest virginiapennsylvaniaphiladelphiaontariaquebeczipfilecsvzipxlsshapefiletifmagneticimagingwormearthquake datapfageophysicsgravmageqseismicitymeqmicroearthquakemicroseismicitynaturalrisk assessmenthazardgeospatial datageotifflow temperature

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature

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

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

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

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

May 14, 2021
6.01 MB
Publicly accessible
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Authors
Marone, C. et al Pennsylvania State University
geothermalenergymatlabgeophysicsseismiccodeprocessed datamicroseismicityaiartificial intelligencedeep learningmachine learningacousticsacoustic emissionsseismic forcastingseismic predictionfaultfault propertiesshear stresstime to failureexperimentexperimental datalab databiaxial shear experimentbiaxial shear apparatusfriction

EGS Collab Experiment 2: Shear Stimulation ERT Monitoring Data

Mar 06, 2023
139.08 MB
Publicly accessible
This repository contains the electrical resistivity tomography (ERT) monitoring data that was collected before, during, and after shear stimulation attempts were conducted at EGS Collab. These tests were carried out on the SURF 4100 level during Experiment 2 in March, 2022. Flow a...
Authors
Johnson, T. Pacific Northwest National Laboratory
geothermalenergyegs collabelectrical resistivity tomography4d-imaginge4dertexperiment 2raw datatime-lapse ertamuamldmudmltutltntsstimulation monitoringstimulationhydraulic pressure testsurfsurf 4100code3d modelingdata inversion

Utah FORGE: Neubrex Well 16B(78)-32 Stimulation and Circulation Fiber Optics Reports Summer, 2024

Sep 25, 2024
13.26 MB
Publicly accessible
This zip file contains reports discussing the use of fiber optics during well 16B(78)-32 stimulation and circulation tests in the summer of 2024. The reports cover the collection of strain rate and temperature change data during these well events. Theory, methods, and initial dat...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergyutah forgefiber opticsneubrexwell 16b78-32well 16bcirculation testtemperature monitoringstrain monitoringstrain change ratemicro-strainrayleighdistributed strain sensingdtsdssstimulationcirculationreportpresentaton slidesdata visualization

Utah FORGE: Well 16A(78)-32 Hydraulic Fracturing Stage 8 Crosswell Strain FDI and Microseismic Presentations April 2024

Nov 07, 2024
96 MB
Publicly accessible
This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergywell 16a16acrosswell strainfdimicroseismicneubrexstrainstrain raterfs strain16bfar field strainfracture driven interactionsstage 8utah forgeegsprocessed datatechnical reportcrosswellhydraulic fracturingstimulation16a78-3216b78-32fiber optic sensingdistributed strain sensingdssgeophysics

Microearthquake Studies at the Salton Sea Geothermal Field

Oct 01, 2013
409.48 kB
Publicly accessible
The objective of this project is to detect and locate microearthquakes to aid in the characterization of reservoir fracture networks. Accurate identification and mapping of the large numbers of microearthquakes induced in EGS is one technique that provides diagnostic information w...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalseismicityearthquakesmicroearthquakesinduced seismicityfractureseismologysalton sea

EGS Collab Experiment 1: In-situ observation of pre-, co and post-seismic shear slip preceding hydraulic fracturing

May 22, 2018
136.27 MB
Publicly accessible
Understanding the initiation and arrest of earthquakes is one of the long-standing challenges of seismology. Here we report on direct observations of borehole displacement by a meter-sized shear rupture induced by pressurization of metamorphic rock at 1.5 km depth. We observed the...
Authors
Guglielmi, Y. et al Lawrence Berkeley National Laboratory
geothermalenergyegsegs collabsurfsanford underground research facilityseismicinjection teststimulationslip vectorshearaxialdisplacementpressureborehole displacementdeformationsimfipprobeboreholee1-ipre-slipco-seismicslippost-seismicaftersliphydraulicfracturingin-situ

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

Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE 2023 Annual Workshop Presentation

Sep 08, 2023
67.53 MB
Publicly accessible
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...
Authors
Ghassemi, A. University of Oklahoma
geothermalenergyannual workshop2023reservoir stressstress statein-situ stressinduced seismicitymitigationstress modelingredistributionpermeability evolutionutah forgeegsreservoir stress redistribution

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

Apr 03, 2024
6.43 MB
Publicly accessible
This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergystrainmicro seismicdtsdssrfs dsshydraulic fracturingfault reactivationfracture driven interactionfdifrac hitsdistributed temperature sensingdistributed strain sensingprocessed datareportutah forgeneubrexcrosswellfiber optic monitoringgeophysicsstimulation

Utah FORGE: Discrete Fracture Network (DFN) Model (2025 v1) 3D Visualization Via the Seequent Central Public Viewer

Jan 08, 2026
664.3 kB
Publicly accessible
Visualize the Utah FORGE DFN model in three-dimensional space using the Seequent Central public viewer. 131 discrete planar fractures have been interpreted by Aleta Finnila (https://gdr.openei.org/submissions/1750) from various data sets obtained during the 2022 and 2024 stimulati...
Authors
Jones, C. and Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture networksequent3d dfnfracture model3d fracture modelsequent central public viewer3d visualizationprocessed datahydraulic stimulationmicroseismic datafracture interpretation16a78-3216b78-32planar fracturesmodelvisualizationgeophysicsgeomechanics

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

Apr 01, 2024
35.23 TB
Publicly accessible
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdasdistributed acoustic sensingseismictriggered eventsgeophonesdownholedownhole seismicneubrexgeoenergie suissegesaprill 2024stimulationhydraulic fracturingcountinuous dataraw dataprocessed datageophysics58-3216b78-3256-32monitoring well

MT Data: Newberry 4D Monitoring EGS Project

Apr 12, 2016
Size unavailable
Publicly accessible
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored. Daily production reports- Oregon State University (OSU) had 6 stations running continuously. --Dynamic survey map, KML f...
Authors
Rose, K. National Energy Technology Laboratory
geothermalenhanced geothermal systemegsmtnewgennewberryoregonmagnetotelluricgeophyscisgeophysicsedxmonitoringstimulation

Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency

Dec 31, 2025
285.14 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2492, which investigated advanced stimulation design and diagnostic approaches to improve fracture uniformity, inter-well connectivity, and energy recovery efficiency in enhanced ge...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyutah forgeegsstimulation designfracture uniformitywell connectivityenergy recovery efficiencytechnical reportstimulationcirculation test16a16bdistributed fiber-optic sensingdtsdasdistributed strainnumerical modelingfracture growthfmitracerfracture geometrygeomechanicsgeophysics

Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network Data

Jun 01, 2021
525.86 MB
Publicly accessible
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Authors
Finnila, A. Golder Associates Inc.
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsdfndiscrete fracture networkwell 16a78-32utahenhanced geothermal systemengineered geothermal systemfracmanroosevelt hot springsroosevelt hot springs geothermal sitemilfordprocessed datacsvwelldrillingstimulationpressuremodelmodeling

Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

Oct 05, 2022
4.59 MB
Publicly accessible
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Authors
Fleckenstein, W. et al Colorado School of Mines
geothermalenergycompletionsleevestractorheat modelegsutah forgestimulationfracturingwellbore technologieswellbore technologyheat exchangergeothermoptimalfracoptimal

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

EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)

Jun 07, 2022
8.18 GB
Publicly accessible
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsconferenceteleconferencerecordingmeetingpresentationscientific discussionmswgmodeling and simulation working group
12Next >>
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