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 - 10 of 10.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"effective porosity"×
Processed Data×

Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

Oct 31, 2022
59.49 MB
Publicly accessible
This dataset contains laboratory measurements of poroelastic properties of granite samples from Utah FORGE wells 58-32 and 78-32. The data include permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient....
Authors
Ghassemi, A. and Zhou, X. University of Oklahoma
geothermalenergyporoelasticityutah forgeeffective stressbulk modulusgrain modulusporoelastic expansion coefficientpermeabilityutah58-3278-32pore pressureconfining pressureskemtpon coefficientgeologyprocessed data

Project Red: Monitoring Well 73-22 Geophysical and Mud Logging Data 2022

Jul 30, 2025
19.14 MB
Awaiting release
This dataset contains open-hole geophysical and mud logging measurements acquired in 2022 from Monitoring Well 73-22 in the Blue Mountain Geothermal Field, Humboldt County, Nevada. Data were collected by Baker Hughes, Baker Atlas, Horizon Well Logging, and other service providers ...
Authors
Dadi, S. et al Fervo Energy
geothermalenergyblue mountainblue mountain geothermal fieldegsnevadahumboldt county73-22monitoring wellproject redgeothermal well logswell logsgeophysical loggingmud loggingacoustic slownesscompressional slownessshear slownessstoneley wavemonopole acousticdipole acousticazimuthal anistropygamma ray logresistivity logneutron porositydensity logcaliper logborehole conditionsbulk modulusshear modulusmechanical propertieslithologyalteration mineralsfracturesgas detectionlasraw dataprocessed datafervo

Utah FORGE: 2024 Discrete Fracture Network Model Data

Sep 08, 2024
1.4 GB
Publicly accessible
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Authors
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture modellingfracturesstochastic fracturestensile fracturesdiscrete fracture network modelegsplanar fracturespermeabilityporositycompressibilitystoragemeqhydraulic stimulationmodelmodelingprocessed data

WHOLESCALE: Microseismic Event Catalog for San Emidio, Nevada 2022

Apr 20, 2024
174.08 kB
Publicly accessible
This submission includes a high-precision seismic event catalog estimated from seismic data collected at San Emidio, Nevada from April to May 2022. The catalog lists the precise time, location, and magnitude of microseismic events recorded during this period. Both the seismic dat...
Authors
Guo, H. et al University of Wisconsin Madison
geothermalenergywholescaleseismicprocessed datamicroseismic event catalogcatalogarrivalssan emidioraw datauncertaintyarrival detectionalgorithmresttomographyboostrapmagnitudegeophysics

SMP and Fracture Modeling

Oct 01, 2021
8.59 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem

SMP Preparation, Programming, and Characterization

Oct 01, 2021
1.04 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem

WHOLESCALE: Seismic Survey Data from San Emidio Nevada 2021

Apr 06, 2021
1.67 TB
Publicly accessible
This dataset includes raw and processed seismic data from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 N, 119.409019 W. The first...
Authors
Lord, N. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalsacraw dataprocessed datageophysicssiesmic datasmartsolodatacubeseismographdata lakesan emdidionevadapumpingtri-axialdld

Lost Circulation Materials in Geothermal Drilling: Thermal Degradation, Viscosity, Compression, and Flow Loop Tests

Feb 01, 2022
2.29 GB
Publicly accessible
This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow ...
Authors
Kibikas, W. et al Sandia National Laboratories
geothermalenergylost circulation materialslcmgeothermal drillingdrillingraw dataprocessed datamass loss measurementslost circulation managementdegradationthermal degradationdegradation patternrheologyfluiddrilliing fluidhigh temperatureflow testcompression testflow loop testsealingviscosity measurements

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data

Sentinel-1 Input Data for PSInSAR Analysis

Apr 29, 2021
305.43 GB
Publicly accessible
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a l...
Authors
Moraga, J. Colorado School of Mines
geothermalenergyinsarpsinsarsentinel-1synthetic aperture radarsatellite imagingaiartificial intelligencedeep learningmachine learningaerial photographyremote sensingsite detectionanomaly detectioninput datageologydisplacementsubsoilphenomenaprocessed dataradarimaginginterferometricanalysissoil deformationgeospatial data
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