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 36.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"Truth or Consequences"×
Stimulation and Microseismicity×

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

Transport of CO2 in Stimuli-Responsive Fracking Fluid, StimuFrac

Sep 15, 2016
2.12 MB
Publicly accessible
CO2 breakthrough experiments in a column packed with sand and filled with StimuFrac fluid or water to learn about transport of the stimuli (CO2) on environments where either water or the stimuli-responsive polymer aqueous solution (StimuFrac) is present. Results suggest co-injecti...
Authors
Fernandez, C. Pacific Northwest National Laboratory
geothermalco2 transportstimuli-responsive fluidegsbreakthroughstimuli-responsive fracking fluidco2 diffusionconvectionfractureshydraulic fracturingfracking fluidwatersupercritical co2liquid co2stimulationreservoir

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

Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Geomechanical Packer Formation Model Iteraction

Jun 20, 2023
73.05 MB
Publicly accessible
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This presentation outlines the work in rock modelling and interaction with the ...
Authors
Ghassemi, A. et al Welltec
geothermalenergywellborecasingdrillingtechnicalassessmentstimulationforgeegs

Improved Microseismicity Detection During Newberry EGS Stimulations

Oct 01, 2013
23.03 kB
Publicly accessible
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsseismicitymicroseismicitystimulationfracturereservoirearthquakesmonitoringmicroseismicseismicnewberry

EGS Collab Experiment 2: Hydraulic Pressure Test Results

Feb 17, 2023
1.21 GB
Publicly accessible
The EGS Collab experiment 2 was focused on testing shear stimulation techniques. Shear stimulation, in this case, means using hydraulic pressure to cause shear slip on preexisting fracture or fault planes such that the hydraulic conductivity of the fracture or fault increases. The...
Authors
Burghardt, J. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegswell datashear stimulationprocessed dataraw datacodepythonexcelleadsouth dakota

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

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

Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

May 05, 2024
70.06 MB
Publicly accessible
This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Authors
Cladouhos, T. et al AltaRock Energy Inc
geothermalenergynewberryegsdemonstrationvolcanoaltarockoregongeologygeologic modelconceptual resource modelseismicityinduced seismicitymitigationmaximum magnitudein situ stresspermittingstimulationreservoir characterizationdrilling planwell testingrisk mitigationreporting

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 5-2565: Final Report on the Evolution of Permeability and Strength Recovery of Shear Fracture Under Hydrothermal Conditions

Aug 24, 2025
3.52 MB
Publicly accessible
This report discusses the results of research on the ability to create and/or reactivate and subsequently sustain fracture systems which are strongly influenced by complexly coupled mechanical (M) and chemical (C) processes in reservoirs forced from equilibrium by hydraulic stimul...
Authors
Jeppson, T. et al United States Geological Survey
geothermalenergyutah forgeegsenhanced geothermal systemsfluid-rock interactionsthmc processesfracture evolutionusgsfracturesgeothermal resorvoirsfracture reactivationthmcmechanicalchemicalhydraulic stimulationthermal drawdownfinal reporttechnical report

Utah FORGE: Well 16B(78)-32 Drill Core Fracture Analysis Images and Data

Jan 29, 2025
57.25 MB
Publicly accessible
This dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientati...
Authors
Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16b78-32well 16b78-32 core16b78-3216b78-32 corecoredrilling corecore fracture analysiswell 16b78-32 core fracture analysisdrill core fracture analysisegsdrilling core datafracture stagescore imagesplanar featuresfeature morphologyfmicrystalline rockcore measurementsfracture characterizationstimulationimaging

Utah FORGE: Laboratory Fault Reactivation and Permeability Evolution During Fluid Injection

Sep 15, 2025
182.35 GB
Publicly accessible
This dataset contains results from controlled shear reactivation experiments performed on cylindrical Westerly and granitoid granite samples with a single inclined fracture. Laboratory faults were pre-loaded near failure and reactivated by fluid injection to examine relationships ...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicityutah forgewesterly granitegranitoidpermeabilityshear stimulationegsfault reactivationfluid injectionpermeability evolutionseismicityacoustic emissionssingle inclined fractureshear stresspore pressuretriaxial testingmechanical datageomechanicsraw dataprocessed dataacoustic data

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation

Sep 13, 2024
69.4 MB
Publicly accessible
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures ...
Authors
Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgestanford universitystanfordstimulationfracturesfracingsewer camflow magnitudeschloridechloride concentrationion concetrationfracture networkpresentationvideoegs

Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications

Jan 01, 2011
5.25 MB
Publicly accessible
The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalgeothermal reservoir modelinghydraulic fracturingdiscrete flow networkfluid flowheat transferenhanced geothermal systemegsnon-isothermal unsaturated flow and transportnuft code

Utah FORGE: Seismic Risk Trafic Light System Version 2

Jan 24, 2025
574.05 kB
Publicly accessible
The report outlines the updated Traffic Light System (TLS) for the Utah FORGE project, which aims to mitigate seismic risks associated with Enhanced Geothermal Systems (EGS) operations. It integrates lessons from past operations, including stimulation and circulation experiments a...
Authors
Pankow, K. et al University of Utah Seismograph Stations
geothermalenergyseismicseismic hazardstlstrafic light systemutah forgeseismic hazard mitigationwell stimulationegstraffic light systemseismic risk mitigationstimulationcirculationcape stationseismic thresholdsreal-time monitoringqseekreservoir dynamicsseismic eventsmagnitude thresholdsprotocols

Simulating Complex Fracture Systems in Geothermal Reservoirs Using an Explicitly Coupled Hydro-Geomechanical Model

Jan 01, 2011
6.5 MB
Publicly accessible
Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...
Authors
Carrigan, C. et al Lawrence Livermore National Laboratory
geothermalrock mechanicshydraulic fracturingenhanced geothermal systemegssimulationhydrohydrofrackingflowmodelmodelingreservoirfracking

Improved Microseismicity Detection During Newberry EGS Stimulations

Nov 01, 2013
214.5 kB
Publicly accessible
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsseismicitymicroseismicitystimulationfracturereservoirngds content modelusgin content modelinduced seismicitynewberrymicroearthquakemonitoringmeasurementdetectionhydrualic

EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data

Sep 12, 2022
17.77 MB
Publicly accessible
The EGS Collab Experiment took place at the Sanford Underground Research Facility at the Homestake gold mine in Lead, SD, USA. This dataset includes the NSF SAGE website where seismic waveform data from this experiment can be downloaded. Two broadband seismometers were installed...
Authors
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegswaveformsbroadbandtiltcharacterizationseismicwaveformgeophysicsexperiment 2continuousmonitoring4100 level

Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B

Nov 06, 2024
2.83 GB
Publicly accessible
This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...
Authors
Khatara, S. et al Neubrex Energy Services (US), LLC
geothermalenergyh5hdf5rayleigh frequency shiftrfsdssdistributed strain sensingfiber optic sensingneubrexsr7000utah forgeegsstimulationfar field strain changestrain responsecumulative strainstrain change rate16a16bhydraulic fracturingprocessed datageophysicsstrainstrain ratefractures

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

Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Apr 18, 2014
9.07 MB
Publicly accessible
This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...
Authors
Templeton, D. et al Lawrence Livermore National Laboratory
geothermalmicroseismicegsfracture creationmappingalgorithmmicroseismicityfracturingfracturenewberry

Raw Neutron Scattering Data for Strain Measurement of Hydraulically Loaded Granite and Marble Samples in Triaxial Stress State

May 23, 2014
22.11 MB
Publicly accessible
This entry contains raw data files from experiments performed on the Vulcan beamline at the Spallation Neutron Source at Oak Ridge National Laboratory using a pressure cell. Cylindrical granite and marble samples were subjected to confining pressures of either 0 psi or approximate...
Authors
Polsky, Y. Oak Ridge National Laboratory
geothermalneutronstrainhydraulic fracturingegsdiffractiongranitemarbletriaxialhydraulic fracturestressneutron scatteringvulcan beamline

Utah FORGE 2439: Well 16B(78)-32 Field-Test Data from Mini-Frac Tests

Jul 02, 2023
2.73 GB
Publicly accessible
This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergygeomechanicsutahforgeminifracstressin-situ stressegsmini-fracstress testgeophysical logimage logacoustic logsonic logfracturinghydraulic fracturingreservoir stressinjectioncaliper logstemperature logsxmac16b78-32baker hughespacker element pressureflowbackpacker element

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
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