OpenEI: Energy Information
  • Open Energy Data Initiative (OEDI)
  • My User
    • Sign Up
    • Login
OEDI logo
  • Data
    • View All Submissions
    • Data Lakes
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact OpenEI Help
  • About
  • Search

Search OEDI Data

Showing results 1 - 25 of 427.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Research Areas
Accessibility
Data Type
Organization
Source
"reservoir monitoring"×
Geothermal Energy×

Utah FORGE 3-2417: Final Report and Presentation on Fiber-Optic Geophysical Monitoring of Reservoir Evolution at Utah FORGE

This dataset contains the final technical report and closeout presentation for the project Fiber Optic Geophysical Monitoring, conducted by Rice University as part of Utah FORGE project 3-2417. The report documents the deployment and analysis of fiber-optic based geophysical monit...
Ajo-Franklin, J. Rice University
Aug 01, 2025
2 Resources
0 Stars
Publicly accessible

Utah FORGE: 2024 Annual Report on Activities and Advancements

This 2024 annual report for Phase 3B Year 2 at Utah FORGE provides an in-depth account of activities and advancements made at the site. Key achievements include drilling and stimulating the production well 16B(78)-32, creating a geothermal reservoir, and achieving commercial-scale...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jan 27, 2025
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2024 Annual Workshop Presentation

This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution by Rice University, presented by Jonathan Ajo-Franklin. This video slide presentation discusses the development of an end-to-end fiber-optic sensing approach for EGS to track the (1) initial zo...
Ajo-Franklin, J. et al Energy and Geoscience Institute at the University of Utah
Aug 13, 2024
1 Resources
0 Stars
Publicly accessible

Utah FORGE: EGS Reservoir Produced Fluids Trace Elements 2024

This dataset contains trace element concentrations from fluid samples collected during the August-September 2024 circulation test at Utah FORGE. Samples were taken from injection well 16A(78)-32, production well 16B(78)-32, and monitoring well 58-32 on four dates between August 16...
Simmons, S. Energy and Geoscience Institute at the University of Utah
May 21, 2025
1 Resources
0 Stars
Publicly accessible

Initial 3D Gravity Results at Newberry

Initial 3D gravity results from Zonge Int'l recorded for the 4D EGS Monitoring project at Newberry, during stimulation of Well 55-29 by AltaRock Energy
Rose, K. National Energy Technology Laboratory
Jul 31, 2015
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...
Norbeck, J. et al Fervo Energy
Feb 08, 2023
3 Resources
0 Stars
Publicly accessible

Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Marone, C. Pennsylvania State University
May 05, 2021
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2417: Simulation Meshes and Results from Extended Circulation and Pulse Interference Testing

This dataset contains numerical simulation meshes and modeling results from extended circulation and pulse interference tests conducted between Utah FORGE wells 16A(78)-32 and 16B(78)-32. The simulations were performed as part of the FOGMORE Utah FORGE project (Fiber Optic MOnitor...
Lee, S. and Ghassemi, A. Rice University
Sep 05, 2025
4 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2023 Annual Workshop Presentation

This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution at the Utah FORGE Milford Site project by Rice University, presented by Prof. Jonathan Ajo-Franklin. The project's objective was to develop an end-to-end fiber-optic sensing approach for EGS to...
Ajo-Franklin, J. et al Rice University
Sep 08, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Native State Numerical Model 2025 Update

This dataset contains a three-dimensional native-state numerical model of the Utah FORGE site, updated in 2025, representing thermal, hydraulic, and stress conditions within the granitic reservoir and overlying sedimentary formations. The model domain extends 6 km by 6 km laterall...
Vazic, B. et al Idaho National Laboratory
Jan 30, 2026
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

MT Data: Newberry 4D Monitoring EGS Project

This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored. Daily production reports- Oregon State University (OSU) had 6 stations running continuously. --Dynamic survey map, KML f...
Rose, K. National Energy Technology Laboratory
Apr 12, 2016
1 Resources
0 Stars
Publicly accessible

Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS

EGS field projects have not sustained production at rates greater than 1/2 of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igneo...
A., C. Pacific Northwest National Laboratory
Sep 15, 2014
5 Resources
0 Stars
Publicly accessible

Utah FORGE 9-3706: Designing, Characterizing and Optimizing Proppant and Flow Monitoring Materials 2025 Workshop Presentation

This is a presentation on Designing, Characterizing & Optimizing Proppant & Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. This video slide presentation discusses enhanced proppant coatings, z...
Radonjic, M. Oklahoma State University
Sep 18, 2025
3 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: EGS Reservoir Produced Fluids Geochemistry 2022-2024

This dataset contains geochemical analyses of produced fluids from the Utah FORGE site, specifically from wells 16A(78)-32, 16B(78)-32, and 58-32, collected during various stimulation, flowback, and circulation tests conducted between 2022 and 2024. The data contains element conce...
Simmons, S. et al Energy and Geoscience Institute at the University of Utah
Feb 26, 2025
1 Resources
0 Stars
Publicly accessible

Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS

EGS field projects have not sustained production at rates greater than half of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igne...
A., C. Pacific Northwest National Laboratory
Sep 25, 2013
19 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Final Report on Joint Electromagnetic, Seismic, and InSAR Imaging of Fracture Growth During EGS Resource Development

This dataset contains the final technical report for the project Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development, carried out from 2021 to 2025 by Lawrence Berkeley Natio...
Alumbaugh, D. Lawrence Berkeley National Laboratory
May 30, 2025
1 Resources
0 Stars
Publicly accessible

Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets

Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM
Rose, K. National Energy Technology Laboratory
Apr 22, 2016
1 Resources
0 Stars
Publicly accessible

Preliminary Analysis of Stress in the Newberry EGS Well NWG 55-29

As part of the planning for stimulation of the Newberry Volcano Enhanced Geothermal Systems (EGS) Demonstration project in Oregon, a high-resolution borehole televiewer (BHTV) log was acquired using the ALT ABI85 BHTV tool in the slightly deviated NWG 55-29 well. The image log rev...
Davatzes, N. and Hickman, S. National Energy Technology Laboratory
Jan 01, 2011
1 Resources
0 Stars
Publicly accessible

Utah FORGE 8-3617: Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network 2025 Workshop Presentation

This is a presentation on Integrating Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network in EGS Reservoirs by California State University Long Beach, presented by Prof. Matthew Becker. This video slide presentation describes the use of h...
Becker, M. California State University Long Beach
Sep 18, 2025
3 Resources
0 Stars
Publicly accessible

Brady 1D Seismic Velocity Model Ambient Noise Prelim

Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
J., R. Lawrence Livermore National Laboratory
Oct 25, 2013
1 Resources
0 Stars
Publicly accessible

Newberry EGS Literature References

Research references to literature about the Newberry geothermal area, Oregon.
Rose, K. National Energy Technology Laboratory
Apr 22, 2016
1 Resources
0 Stars
Publicly accessible

Improved Microseismicity Detection During Newberry EGS Stimulations

Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
0 Stars
Publicly accessible

CO2 Push-Pull Single Fault Injection Simulations

ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...
Borgia, A. et al Lawrence Berkeley National Laboratory
Sep 21, 2017
5 Resources
0 Stars
Publicly accessible
12345Next >>
  • About the Open Energy Data Initiative
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The OEDI Data Lake is a centralized repository of datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories.
  • 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