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 201 - 225 of 226.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Technologies
Featured Projects
Topics
Data Type
"regional water resource assessment"×
Document×

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
1 Stars
Publicly accessible

Utah FORGE: Well 58-32 Stimulation Data

Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.
Best, S. Geothermal Resource Group
Apr 20, 2019
16 Resources
0 Stars
Publicly accessible

Advanced Sorbent Structure Recovery of Rare Earths, Precious Metals and Other Critical Materials from Geothermal Waters and Its Associated Technoeconomics

The work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials (silica and MOF...
Addleman, R. et al Pacific Northwest National Laboratory
Sep 21, 2016
1 Resources
0 Stars
Publicly accessible

Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...
Beckers, K. and Young, K. National Renewable Energy Laboratory
Mar 23, 2017
1 Resources
1 Stars
Publicly accessible

Utah FORGE 3-2417: DAS Microseismic Event Catalog from the 16A/16B Circulation Test, 2023

This preliminary data archive includes the relocated microseismic event catalog, 1D velocity model, and methods report from DAS acquisition conducted during the Well 16A and 16B circulation test (July 19th and 20th, 2023) at Utah FORGE. The methods report describes all processing ...
Vera Rodriguez, I. et al Rice University
Jun 12, 2024
5 Resources
0 Stars
Curated

Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data Chicago, IL

This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes therm...
Baser, T. et al Saint Louis University
Dec 04, 2023
6 Resources
0 Stars
Publicly accessible

Community Geothermal: Thermal Conductivity Test and Data Analysis Report Wallingford, CT

Report on a formation thermal conductivity test that was performed on the geothermal test bore at Ulbrich Heights at 38 Louis Circle Lane in Wallingford, Connecticut. Data are applicable only within the Wallingford region and should not be extrapolated for other climatic and geogr...
Martin, C. Connecticut Department of Energy and Environmental Protection (CT DEEP)
Feb 20, 2024
1 Resources
1 Stars
Publicly accessible

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
3 Resources
0 Stars
Publicly accessible

Washington Geothermal Play Fairway Analysis Technical Report

An investment of $0.7M from the Geothermal Technology Office for Phase 2 of Play Fairway Analysis in Washington State improved existing favorability models and increased model confidence. New 1:24,000-scale geological mapping, 15 detailed geophysical surveys, 2 passive seismic sur...
Steely, A. et al Washington Geological Survey
Dec 20, 2017
1 Resources
1 Stars
Publicly accessible

Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data

These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
5 Resources
0 Stars
Publicly accessible

Raft River Geothermal Area Logical and Fact Data Models

This submission includes fact and logical data models for geothermal data concerning wells, fields, power plants and related analyses at Raft River, ID. The fact model is available in VizioModeler (native), html, UML, ORM-Specific, pdf, and as an XML Spy Project. An entity-relatio...
Cuyler, D. Sandia National Laboratories
Jul 19, 2012
7 Resources
0 Stars
Publicly accessible

University of Illinois Campus Deep Direct-Use Feasibility Study Thermal Properties of Geologic Formations in Illinois Basin

Thermal property data for rocks and and minerals and unconsolidated (glacial) sediments units from within and outside the Illinois Basin were compiled for modeling heat transport in the subsurface.
Lin, Y. et al University of Illinois
Mar 30, 2018
6 Resources
0 Stars
Publicly accessible

Spatial Analysis of CIRES ASTER and LANDSAT thermal infrared anomalies

CIRES provided polygon shapefiles showing areas of anomalously warm ground, derived from ASTER and LANDSAT remotely sensed thermal infrared imagery. Partly from these anomalies, and partly through other evidence layers, CIRES came up with 'polygons' representing areas prospective ...
Zehner, R. Flint Geothermal, LLC
May 26, 2011
1 Resources
0 Stars
Publicly accessible

PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...
Kratt, C. et al Oregon State University
Jan 09, 2019
6 Resources
0 Stars
Publicly accessible

Applications of Geothermally-Produced Colloidal Silica in Reservoir Management Smart Gels

In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures are applied to confined zones in the subsurface usually using packers to fracture the host rock. This enhances r...
Hunt, J. et al Lawrence Livermore National Laboratory
Jan 31, 2013
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Sanvean Technologies Drilling Data from Well 16B(78)-32

Included here is Sanvean Technologies bit sensor data amalgamated with data from National Oilwell Varco's (NOV) BlackBox tool for Reed Hycalog bits used during drilling of Well 16B(78)-32. The dataset contains information collected at the bit while drilling including rate of penet...
Barker, C. Energy and Geoscience Institute at the University of Utah
Oct 26, 2023
5 Resources
0 Stars
Publicly accessible

Utah FORGE: Well Data for Student Competition

Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
12 Resources
0 Stars
Publicly accessible

Utah FORGE: Milford Triaxial Test Data and Summary from EGI labs

Six samples were evaluated in unconfined and triaxial compression, their data are included in separate excel spreadsheets, and summarized in the word document. Three samples were plugged along the axis of the core (presumed to be nominally vertical) and three samples were plugged ...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 01, 2016
8 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 2439: Well 16B(78)-32 Field-Test Data from Mini-Frac Tests

This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...
Kelley, M. et al Battelle Memorial Institute
Jul 02, 2023
4 Resources
0 Stars
Publicly accessible

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
White, M. et al Pacific Northwest National Laboratory
Feb 04, 2020
100 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

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
11 Resources
0 Stars
Publicly accessible

DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Taverna, N. et al National Renewable Energy Laboratory
Jan 24, 2024
14 Resources
0 Stars
Publicly accessible

Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Garapati, N. et al West Virginia University
Dec 20, 2019
13 Resources
0 Stars
Publicly accessible
<< Previous45678910Next >>
  • 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