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 - 21 of 21.
Show results per page.
Order by:
Available Now:
Filters
Topic
Technologies
Demonstration Sites
Data Type
"optimizing proppant"×

Utah FORGE 9-3706: Designing, Characterizing & Optimizing Proppant and Flow Monitoring Materials for EGS 2026 Workshop Presentation

Sep 30, 2026
95.9 MB
Curated
This is a presentation on Designing, Characterizing & Optimizing Proppant and Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. The project is developing advanced proppant materials, flow-monitor...
Authors
Radonjic, M. Oklahoma State University
geothermalenergyutah forgeegscharacterizationoptimizing proppantoptimizationflow monitoringenhanced fracture conductivityfracture conductivityreservoir characterizationstimulation

Utah FORGE 9-3706: Designing, Characterizing and Optimizing Proppant and Flow Monitoring Materials 2025 Workshop Presentation

Sep 18, 2025
631.68 MB
Publicly accessible
This is a presentation on Designing, Characterizing & Optimizing Proppant & Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. This video slide presentation discusses enhanced proppant coatings, z...
Authors
Radonjic, M. Oklahoma State University
geothermalenergyutah forgeegs2025 annual workshopproppantsproppant coatingsflow monitoringtracer particleshigh-temperature testinghigh-pressure testingcfd-dem modelingthmc modelingfracture conductivitypresentationpresentation recordingpresentation slidesreport

Utah FORGE 9-3664: Development of Tagged Proppant for Conductivity Enhancement and Reservoir Characterization 2024 Annual Workshop Presentation

Sep 03, 2024
36.3 MB
Publicly accessible
This is a presentation on the Development and Testing of Tagged Proppant for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the development and testing of n...
Authors
Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeuniversity of oklahomafracingfracstimulationvideoslidespresentationproppantsproppant testingwell stimulationegs

Utah FORGE 9-3664: Proppants for Fracture Conductivity Enhancement and Reservoir Characterization in EGS 2026 Workshop Presentation

Sep 30, 2026
58.87 MB
Curated
This is a presentation on Proppants for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by the University of Oklahoma, presented by Dr. Ahmad Ghassemi. The project is evaluating and developing high-temperature proppant materials to enhance fracture conducti...
Authors
Ghassemi, A. University of Oklahoma
geothermalenergyutah forgeegsproppantsproppantfracture conductivityfracturereservoir characterizationhigh-temperature proppantresource developmentenhanced conductivity

Utah FORGE 9-3664: Development of Tagged Proppant for Conductivity Enhancement and Reservoir Characterization 2025 Workshop Presentation

Sep 18, 2025
310.22 MB
Publicly accessible
This is a presentation on the Development and Testing of Tagged Proppant for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the development and testing of n...
Authors
Ghassemi, A. The University of Oklahoma
geothermalenergyutah forgeegs2025 annual workshoptagged proppantshigh-temperature proppantsfracture conductivityreservoir characterizationgeothermal conditionsproppant testingpresentationpresentation slidespresentation recordingreport

Utah FORGE: Wells 16A(78)-32 and 16B(78)-32 Stimulation Program Report May 2024

Nov 19, 2024
24.55 MB
Publicly accessible
This dataset consists of a comprehensive report documenting the stimulation program conducted in May 2024 on Utah FORGE wells 16A(78)-32 and 16B(78)-32. It includes detailed accounts of operational and scientific objectives, stimulation methodologies, and testing outcomes. The rep...
Authors
McClennan, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16a78-32well 16b78-32stimulationwell stimulationwell 16awell 16b16a16bstimulation reportstimulation end of job reportfracfracingreporttechnical reportegscirculationproppantmethodsinjection rateproduction ratepressuretemperaturelogs

Utah FORGE 5-2419: Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants 2024 Annual Workshop Presentation

Sep 14, 2024
43.75 MB
Publicly accessible
This is a presentation on the Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants by Stevens Institute of Technology, presented by Cheng Chen. This video slide presentation discusses well controlled la...
Authors
Chen, C. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgestevens institute of technologyproppantselectrically-conductivenon-electrically-conductiveegsfracturesproppant/fracture imagingvideopresentation

Utah FORGE 9-3635: Testing of Proppants for EGS and Simulation of EM Fracture Mapping Using Electrically-Conductive Proppants 2025 Workshop Presentation

Sep 18, 2025
534.52 MB
Publicly accessible
This is a presentation on High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants by Stevens Institute of Technology, presented by Dr. Cheng Chen. This video slide presentation describes laboratory te...
Authors
Chen, C. Stevens Institute of Technology
geothermalenergyutah forgeegs2025 annual workshopproppantshigh-temperature testingelectrically-conductive proppantshydraulic fracturingelectromagneticsfracture mappingfracture imaginglaboratory testingpresentationpresentation recordingpresentation slidesreport

Harsh Environment Sensors for Geothermal Applications

Jan 01, 2012
2.36 MB
Publicly accessible
Technical papers detailing the development of harsh environment sensors for geothermal applications. Principle Investigator is Prof. Albert P. Pisano (University of California, Berkeley). Submission includes a paper about geothermal environmental exposure testing on encapsulant a...
Authors
Senesky, D. et al Regents of the University University of California
geothermalharsh environmentsensorpressuretemperaturesilicon carbidesapphirealuminum nitridedown-holeloggingmonitoringmemsencapsulationexposureenvironmental exposuredownholemass changesputter xpschemical analysismicroelectromechanical

Utah FORGE 9-3635: High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants 2026 Workshop Presentation

Sep 30, 2026
73.87 MB
Curated
This is a presentation on High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants by Stevens Institute of Technology, presented by Dr. Cheng Chen. The project is evaluating the performance of electric...
Authors
Chen, C. et al Stevens Institute of Technology
geothermalenergyutah forgeegstemperature testingproppantselectromagnetic fracture mappingfracture mappingelectrically-conductive proppantshydraulic stimulationsimulationstimulationhigh temperature testhigh-temperature proppants

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

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

Literature Collection for the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

Jan 20, 2026
Size unavailable
Publicly accessible
This submission contains links to multiple publications on the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers. The long-term goal of the project was to safely implement oil and gas industry drilling best-practices, particularly with respect to limit...
Authors
Wriedt, J. Geysers Power Company, LLC
geothermalenergygeyserspublicationsphysics-based drillingbit designlimiter redesignelectronic drilling recordsbit technologycontrol strategies

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

United States Geothermal Supply Curves 2024

Apr 15, 2025
627.1 MB
Publicly accessible
This data packet contains supply curves and a composite siting exclusion TIFF for EGS and hydrothermal geothermal across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized ...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
energypowerenergy analysisgeothermalegsenhanced geothermal systemshydrothermalrevsupply curvecost of energycost of transmissiongeothermal powerrev siting labssitinglabsiting labsupply curvesunited states2024hourly generationsitingcapacitygenerationpower profiles

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Renewable Energy Potential Model: Geothermal Supply Curves

Aug 21, 2023
4.9 MB
Publicly accessible
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysmu temperaturessupply curvegeospatialgrid infrastructureexclusionslevelized cost of electricityegsoperating costsfeasibilitymodelrevhydrothermalcapital costsgeothermal location

Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra

Mar 17, 2026
15.25 GB
Publicly accessible
This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-Febru...
Authors
Chang, H. et al Lamont Doherty Earth Observatory
geothermalenergydasfiber-opticattenuationmicroseismicityp-wavesource parametersstress dropcapeforgeqspectraseismicegscape modernutah forgedistributed acoustic sensingp-wave attenuationquality factorbrune modelcorner frequencyseismic momentmoment magnitudewell logsdownhole measurementsraw dataprocessed datageomechanicsgeophysics

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Jan 31, 2022
1.45 GB
Publicly accessible
Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
Authors
Hu, J. et al Lawrence Berkeley National Laboratory
geothermal bofieldenergymodelica buildings librarytoughcouplingdistrict energy systemdistrict heatingdistrict coolinggeothermalborefieldsimulationmodelmodelingoptimizationenergy storageseasonal energy storagegeothermal heat exchangeground source heat pumpgshpcodepythonmodelica

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
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