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
    • Instructions for Funds Recipients
    • Data Provision Guidelines
    • 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 ×
Technologies
Featured Projects
Topics
Data Type
"carbon steel"×
Geophysics×

WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Steel Pipe

The steel pipe experiment conducted in the lab was using 6 meter low-carbon steel pipe. We tested it with both dry and in-water condition. In the dry experimental setup, a coaxial cable acting as a return path in the air.
Wang, J. and Wu, Y. Lawrence Berkeley National Laboratory
Jul 23, 2019
9 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Report on Borehole EM Data Collection and Imaging with the VEMP Field System

This report outlines electromagnetic field measurements that were made after stimulation at Utah FORGE in May of 2024. The measurements involved lowering an electrode to ~3500' in well 16A to energize the steel casing as part of the electric source, with the return electrode locat...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Sep 05, 2024
1 Resources
0 Stars
Publicly accessible

University of Illinois Campus Deep Direct-Use Feasibility Study Regional Geology

Links to papers and reports describing the structure and character of the Illinois Basin geology. Included are descriptions of the two reservoirs that are being modeled for the DDU feasibility project at University of Illinois, the St. Peter and Mt. Simon Sandstones.
Lin, Y. et al University of Illinois
Mar 30, 2018
4 Resources
0 Stars
Publicly accessible

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

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.
Wu, Y. et al Lawrence Berkeley National Laboratory
Apr 25, 2018
32 Resources
0 Stars
Publicly accessible

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

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...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
0 Stars
Publicly accessible

Wister, CA Downhole and Seismic Data

This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...
Akerley, J. Ormat Nevada Inc
Dec 18, 2010
16 Resources
0 Stars
Publicly accessible

Utah FORGE: Final Topical Report 2018

This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results associated with the conceptual geologic model, deep well 58-32, rock geomechanics, reservoir temperatures, seismic survey...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Apr 07, 2018
2 Resources
0 Stars
Publicly accessible
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR is the submission point for all data collected from research funded by the U.S. Department of Energy's Geothermal Technologies Office.
  • 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