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 - 5 of 5.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"salton sea"×
Stimulation and Microseismicity×

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

Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

Sep 19, 2024
365.88 GB
Awaiting release
This dataset contains microseismic data acquired during the Frisco 2-P well stimulation project led by Fervo Energy, conducted between June 1 and June 11, 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed ...
Authors
Dadi, S. and Titov, A. Fervo Energy
geothermalenergymicroseismicdasgeophonefrisco 2-pcapeegs16b16adistributed acoustic sensing3cfervofriscoevent detectionstimulationgeophysicssta/ltaraw datafiber optic sensingdistributedutah forgetriggered eventdevelopmentmonitoringsegymilford

Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

Nov 06, 2024
136.79 GB
Awaiting release
This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...
Authors
Dadi, S. and Kanu, O. Fervo Energy
geothermalenergycape egsutah forgemicroseismicfriscodasdistributed acoustic sensing3cthree componentgeophone16bsta/ltasegyflow testegsmilfordutahmicroseismic eventevent detectiontestingdevelopmentreservoir engineering

Utah FORGE: Seismicity Associated with the 2019 Well 58-32 Stimulation

Apr 30, 2019
10.18 kB
Publicly accessible
This catalog describes the seismicity associated with the 2019 stimulation at Utah FORGE. Containing both matched-filter detections (Dzubay et al., 2022) and Schlumberger-recorded events (detected with a 12-level geophone string), the final combined catalog contains a total of 534...
Authors
Pankow, K. University of Utah Seismograph Stations
geothermalenergyutah forge58-32 stimulation2019 stimulation58-32 seismic datautah forge seismicity58-32 stimulation seismicityseismicitymicroseismiceventmicroseismicitywellwell 58-32stimulationraw datawell depthdepthmagnitudeutah

Utah FORGE: DAS Microseismic Event Records From April 2024 Stimulation Experiment

Mar 25, 2026
1.29 TB
In curation
This dataset contains distributed acoustic sensing (DAS) microseismic event triggers (raw waveforms) recorded during the 16A-16B stimulations conducted at the Utah FORGE site in April 2024. The dataset consists of raw waveform data provided in nanostrain rate units, accompanied by...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergyutah forgeenhanced geothermal systemsegsdistributed acoustic sensingdasfiber optic monitoringdfosmicroseismicforgewaveformraw datastimulationevent triggersfiber opticgeophysicsgeomechanicshydraulic stimulationhydraulic fracturingdas channel locationssgyseg-ysilixacarinafogmore
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