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 76 - 100 of 384.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Technologies
Featured Projects
Topics
Data Type
"well 16A78-32 stimulation seismic"×
EGS×

Utah FORGE: Discrete Fracture Network (DFN) Data

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. and Podgorney, R. Golder Associates Inc.
Jun 24, 2020
66 Resources
0 Stars
Publicly accessible

Newberry EGS Demonstration: Well 55-29 Stimulation Data

The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
T., T. AltaRock Energy Inc
Dec 08, 2012
136 Resources
0 Stars
Publicly accessible

Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

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 ...
Dadi, S. and Titov, A. Fervo Energy
Sep 19, 2024
26 Resources
0 Stars
Publicly accessible

Utah FORGE 5-2419: Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging 2024 Annual Workshop Presentation

This is a presentation on Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging by Pennsylvania State University, presented by Derek Elsworth. This video slide presentation discussed controls and acoustic signatures of aseismic through seismic evolution of re...
Elsworth, D. et al Energy and Geoscience Institute at the University of Utah
Sep 05, 2024
1 Resources
0 Stars
Publicly accessible

Newberry EGS Demonstration: Stimulating the Existing Fracture Network Report

The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
Cladouhos, T. et al AltaRock Energy Inc
Mar 10, 2014
1 Resources
0 Stars
Publicly accessible

Hybrid machine learning model to predict 3D in-situ permeability evolution

Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
0 Stars
Publicly accessible

Utah FORGE: Stress Ratio Dependence of Ultrasonic Anisotropy in Well 16B(78)-32 Core

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...
Lisabeth, H. and Savage, H. Lawrence Berkeley National Laboratory
Apr 07, 2025
2 Resources
0 Stars
Curated

Utah FORGE: 2019 ARMA Overview Slide Presentation

This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.
Moore, J. Energy and Geoscience Institute at the University of Utah
Aug 17, 2019
1 Resources
0 Stars
Publicly accessible

Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...
Finnila, A. Energy and Geoscience Institute at the University of Utah
Oct 02, 2023
17 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2417: Meteorological Data During 2024 Stimulation

This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the 16A/16B stimulation activities, largely March/April/May of 2024. This information may prove useful for understanding seismic and other instrumentati...
Ajo-Franklin, J. Rice University
May 09, 2024
5 Resources
0 Stars
Publicly accessible

Utah FORGE: 2022 Seismic Workshop Report

Utah FORGE held a two-day seismic workshop on the University of Utah campus in Salt Lake City, Utah on September 26 and 27, 2022 to share what was learned from the seismic monitoring during the 2022 stimulation. This is a report documenting this workshop. The meeting was structure...
Pankow, K. University of Utah Seismograph Stations
Dec 19, 2022
1 Resources
0 Stars
Publicly accessible

Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

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...
Dadi, S. and Kanu, O. Fervo Energy
Nov 06, 2024
5 Resources
0 Stars
Publicly accessible

EGS Collab Experiment 1: Baseline Cross-well Seismic

As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Schwering, P. et al Sandia National Laboratories
Apr 30, 2018
9 Resources
0 Stars
Publicly accessible

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 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation 2024 Annual Workshop Presentation

This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by No'am Zach Dvory. This video slide presentation, by the University of Utah, disc...
Dvory, N. Energy and Geoscience Institute at the University of Utah
Sep 15, 2024
1 Resources
0 Stars
Publicly accessible

Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Cladouhos, T. et al AltaRock Energy Inc
May 05, 2024
4 Resources
0 Stars
Publicly accessible

Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)

Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
11 Resources
0 Stars
Publicly accessible

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Williams, J. Energy and Geoscience Institute at the University of Utah
Sep 17, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Wells Updated Temperature and Pressure Logs (June 2021)

This dataset includes updated temperature and pressure logs for Utah FORGE wells 56-32, 78-32, and 58-32. This data was acquired in June 2021.
Stout, F. Di Drill Survey Services
Jun 29, 2021
4 Resources
0 Stars
Publicly accessible

Utah FORGE: Deep Wells Temperature Surveys as of September 2022

This Excel spreadsheet contains temperature survey results for Utah FORGE wells 58-32, 78-32, 56-32, 16A(78)-32 and 78B-32. It also contains charts and comparisons, along with a "Data Summary" which provides links to previous GDR submissions with temperature data for each well.
Jones, C. Energy and Geoscience Institute at the University of Utah
Sep 16, 2022
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files

This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2C.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Nov 17, 2017
4 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 78-32 Capacity Test

This dataset includes an Excel spreadsheet with Utah FORGE Phase 2c Well 78-32 capacity data. It also includes a readme file discussing the data which also includes the well coordinates.
Kirby, S. and Gall, R. Energy and Geoscience Institute at the University of Utah
Jun 20, 2019
2 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model

This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation. A preliminary 3D velocity model for the larg...
Gritto, R. Array Information Technology
Jan 30, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Updated Phase 2C Well Location Coordinates

Utah FORGE has been established to develop, test, and improve the technologies and techniques required to develop EGS-type geothermal resources. Drilling of the first of two deep deviated wells, 16A(78)-32, will begin in the second half of 2020. This well will serve as the injecti...
Hardwick, C. Utah Geological Survey
Dec 07, 2020
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 58-32 (MU-ESW1) FMI Log Fracture Results

A Schlumberger Fullbore Formation Micro-Imager (FMI) log was run from 7390 feet to 7527 feet depth in well 58-32, originally known as well MU-ESW1. Well 58-32 was completed in 2017 as part of Utah FORGE Phase 2. It reached a depth of 7536 feet and recorded a bottom hole temperatur...
BLOCHOWICZ, A. Energy and Geoscience Institute at the University of Utah
Mar 06, 2021
1 Resources
0 Stars
Publicly accessible
<< Previous12345678Next >>
  • 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