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 - 15 of 15.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Technologies
Featured Projects
Topics
Data Type
"air-driven vane motor"×
Geophysics×

EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...
Guglielmi, Y. Lawrence Berkeley National Laboratory
Sep 24, 2020
9 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 16A(78)-32 Hydraulic Fracturing Stage 8 Crosswell Strain FDI and Microseismic Presentations April 2024

This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16...
Jurick, D. et al Neubrex Energy Services (US), LLC
Nov 07, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 16B(78)-32 Extended Dual Well Circulation Testing Fiber Optic Monitoring Report August 2024

This report documents the post-hydraulic fracturing extended circulation test between Utah FORGE wells 16A and 16B conducted in August 2024. In well 16B, fiber optic measurements of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and distributed temperature sensing ...
Jurick, D. et al Neubrex Energy Services (US), LLC
Aug 30, 2024
1 Resources
0 Stars
Publicly accessible

Gravity, Granite Springs Valley, Nevada Play Fairway Analysis

All raw data for new data acquired, key grids such as CBA and horizontal derivative, acquisition report, and depth models. This gravity data is associated with the Nevada Play Fairway project.
Faulds, J. Nevada Bureau of Mines and Geology
Sep 14, 2017
2 Resources
0 Stars
Publicly accessible

Fallon FORGE: Seismic Reflection Profiles

Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model. Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-...
Blankenship, D. et al Sandia National Laboratories
Feb 01, 2018
3 Resources
0 Stars
Publicly accessible

Utah FORGE: Milford Gravity Data Shapefile

This is a zipped GIS compatible shapefile of gravity data points used in the Milford, Utah FORGE project as of March 21st, 2016. The shapefile is native to ArcGIS, but can be used with many GIS software packages. Additionally, there is a .dbf (dBase) file that contains the dataset...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible

Hotspot Project: The Snake River Geothermal Drilling Project Initial Report

The Snake River volcanic province (SRP) overlies a thermal anomaly that extends deep into the mantle; it represents one of the highest heat flow provinces in North America. The primary goal of this project is to evaluate geothermal potential in three distinct settings: (1) Kimama ...
Shervais, J. et al Utah State University
Jan 01, 2012
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...
Jurick, D. et al Neubrex Energy Services (US), LLC
Apr 03, 2024
1 Resources
0 Stars
Publicly accessible

Newberry Combined Gravity 2016

Newberry combined gravity from Zonge Int'l, processed for the EGS stimulation project at well 55-29. Includes data from both Davenport 2006 collection and for OSU/4D EGS monitoring 2012 collection. Locations are NAD83, UTM Zone 10 North, meters. Elevation is NAVD88. Gravity in ...
Rose, K. National Energy Technology Laboratory
Jan 22, 2016
1 Resources
0 Stars
Publicly accessible

Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...
Shervais, J. et al Utah State University
Feb 21, 2014
1 Resources
1 Stars
Publicly accessible

Gravity Data from Cove Fort and Dog Valley, Utah Play Fairway Analysis

This is a zipped archive containing an ArcGIS shapefile and a text file containing gravity data covering the Cove Fort and Dog Valley areas in central Utah. Part of the data was acquired by the Utah Geological Survey and part came from PACES (University of Texas El Paso). The attr...
Nash, G. and Hardwick, C. Energy and Geoscience Institute at the University of Utah
Aug 27, 2018
2 Resources
0 Stars
Publicly accessible

Utah FORGE: 3D Gravity Data

These resources describe the 3D geophysical inversion modeling of gravity data at the FORGE site near Milford, Utah. FORGE is the Frontier Observatory for Research in Geothermal Energy and the site in Utah has been selected by the U.S. Dept. of Energy for a 5-year R&D program to t...
Hardwick, C. and Witter, J. Energy and Geoscience Institute at the University of Utah
Jun 24, 2019
2 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

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: TEM and Gravity Data

This submission includes a gravity data in text format and as a GIS point shapefile and transient electromagnetic (TEM) raw data. Each text file additionally contains location data (UTM Zone 12, NAD83) and elevation (meters) data for that station. The gravity data shapefile was i...
Hardwick, C. and Nash, G. Energy and Geoscience Institute at the University of Utah
Feb 05, 2018
3 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