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 - 7 of 7.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"processed"×
Presentation×

WISE-CASING: Seismic Experiment at Richmond Field Station, CA

Apr 25, 2018
27.61 MB
Publicly accessible
This experiment is testing the tube waves reflected from the bottom of the well. We put six single-channel geophones on the surface and a 24-channel downhole hydrophone into the well. The well is about 30 meters deep. Just a steel casing in the sand formation, no cement.
Authors
Wu, Y. et al Lawrence Berkeley National Laboratory
geothermalenergyseismicgeophonehydrophonegeophysicssgysegydatavelocityexperimentrichmond field stationdownhole hydrophonewellmonitoringseismicitydasdistributed acoustic sensingwise-casingwellborecasingintegrityassessmentsensingdownholesteel casing

EGS Collab Experiment 1: Circulation Testing

Apr 01, 2019
965.21 MB
Publicly accessible
These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...
Authors
Knox, H. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsraw dataflowflow testingstim and flow systemfield testingwellinjectionproductionleadsouth dakota

Utah FORGE: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test

Mar 31, 2025
57.32 MB
Publicly accessible
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Authors
Sausan, S. et al Stanford University
geothermalenergychloridechemical toolwirelineutah forgeisegeothermal loggingchloride sensorion-selective electrodeinflow detection58-3216b78-32chemical logging toolpoohpull out of holerihrun in holehigh-temperature toolcirculation testpressure-temperature-depthfield logging dataelectrochemicalchloride concentrationfracture characterizationreservoir charecterizationraw dataprocessed datatechnical reportvisualizations

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

EGS Collab Experiment 2: Earth Model Datasets

May 29, 2022
747.89 MB
Publicly accessible
The EGS Collab Project performed a series of tests to increase the understanding the response of crystalline rock mass to stimulations and fluid circulation to efficiently implement enhanced geothermal systems (EGS) technologies. The EGS Collab team created two underground testbed...
Authors
Neupane, G. et al Idaho National Laboratory
geothermalenergyegs collabegssurfsanford underground research facilityleadsouth dakotacollabraw dataprocessed datageologyconceptual model

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

Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

Mar 10, 2022
66.68 MB
Publicly accessible
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Authors
Levine, A. et al National Renewable Energy Laboratory
geothermalenergycalifornianevadasalton searegulatorybarriersnon-technicalinterviewsenvironmentalstakeholdersnon-technical barriersntbgeoreportseatpermitenvironmental reviewauthorizationseconomiclcoecostfeasibilityprocessed dataannual technology baselineatbimperial countychurchill county
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