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 176 - 200 of 272.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Research Areas
Accessibility
Data Type
Organization
Source
"maximum shear strain rates"×
Downloadable×

Snake River Plain FORGE: Site Characterization Data

The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Moos, D. and Barton, C. Idaho National Laboratory
Apr 18, 2016
49 Resources
0 Stars
Publicly accessible

WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities ...
Miara, A. et al National Renewable Energy Laboratory
Feb 01, 2022
16 Resources
0 Stars
Publicly accessible

Greenhouse Gas emissions from California Geothermal Power Plants

The information given in this file represents greenhouse gas (GHG) emissions and corresponding emission rates for California flash and dry steam geothermal power plants. This stage of the life cycle is the fuel use component of the fuel cycle and arises during plant operation. Des...
Sullivan, J. Argonne National Laboratory
Mar 14, 2014
1 Resources
0 Stars
Publicly accessible

Comparison of Rare Earth Element Sorption Between Fresh and Partially Loaded Media Using Simulated Geothermal Brine

A study comparing the REE sorption characteristics of fresh ligand-based sorption media and media partially loaded with REEs when exposed to a simulated geothermal brine with known mineral concentrations, REE7. Sorption rates were tested using microcosm shaker tests. Results sugg...
Stull, D. Tusaar Corp.
May 24, 2016
1 Resources
0 Stars
Publicly accessible

Chemical, Calcium Phosphate Cements for Geothermal Wells Corrosion Protection, Bond Strength and Matrix Self-Healing

The data set shows performance of economical calcium phosphate cement (Fondu) blended with fly ash, class F (FAF) in carbon steel corrosion protection tests (corrosion rate, corrosion current and potential), bond and matrix strength, as well as matrix strength recovery after impos...
Sugama, T. Brookhaven National Laboratory
Sep 26, 2017
2 Resources
0 Stars
Publicly accessible

SGW paper Rheological Properties of Drilling Fluids Containing Special Additives for Geothermal Drilling Applications

The paper was presented at the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 15-17, 2021. In this study, the effectiveness of different additives was evaluated in maintaining drilling fluid rheology at HPHT(high pressure and...
Mohamed, A. et al University of Oklahoma
Jan 04, 2023
1 Resources
0 Stars
Publicly accessible

Adsorption Heat Pump Coatings Investigation

In this study, a theoretical investigation was made to predict the performances of zeolite Y and SAPO-34 coatings for an adsorption cooling system operated by waste heat, under various conditions. A mathematical model developed and tested previously for coatings of A and X type ze...
Tatlier, M. Istanbul Technical University
May 22, 2020
2 Resources
0 Stars
Publicly accessible

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Publicly accessible

NREL Global Offshore Wind GIS Data

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

Utah FORGE: Well 16A(78)-32 Logs

This dataset contains all well logs from Utah FORGE well 16A(78)-32. This includes the mud log, Sanvean Technologies logs, and Schlumberger logs. Please see the file descriptions below for information about each log.
Gilmour, B. et al Energy and Geoscience Institute at the University of Utah
Mar 08, 2021
7 Resources
0 Stars
Publicly accessible

Utah FORGE 5-2428: Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip 2024 Annual Workshop Presentation

This is a presentation on the Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior by Lawrence Livermore National Laboratory, presented by Kayla Kroll. This presentation addresses testing and modelling related to the dependency of EG...
Kroll, K. et al Energy and Geoscience Institute at the University of Utah
Aug 27, 2024
1 Resources
0 Stars
Publicly accessible

McGee Mountain Geoprobe Survey, Humboldt County, Nevada

This shapefile contains location and attribute data for a Geoprobe temperature survey conducted by Geothermal Technical Partners, Inc. during 2010. The purpose of direct push technology (DPT) probe activity at the McGee Mtn. Project, Nevada was to 1) determine bottom hole temperat...
Zehner, R. Geothermal Technical Partners, Inc.
Jun 01, 2010
2 Resources
0 Stars
Publicly accessible

Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Streig, A. and Wells, R. Portland State University
Dec 04, 2018
3 Resources
0 Stars
Publicly accessible

Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core

This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...
Kroll, K. et al Lawrence Livermore National Laboratory
Jul 27, 2023
1 Resources
0 Stars
Publicly accessible

Hydraulic Studies of Drilling Microbores with Supercritical Steam, Nitrogen and Carbon Dioxide

Hydraulic studies of drilling micropores at various depths and with various hole sizes, tubing, fluids and rates to show theoretical feasibility. WELLFLO Simulations Report separated into three parts: Step 4: Drilling 10,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon...
Karaaslan, M. Impact Technologies LLC
Jan 01, 2010
3 Resources
0 Stars
Publicly accessible

Net Shape Fabricated Low Cost MHK Pass-Through the Hub Turbine Blades with Integrated Health Management Technology

The primary objective of this project is to develop a three-blade MHK rotor with low manufacturing and maintenance costs. The proposed program will design, fabricate and test a novel half-scale low cost, net shape fabricated single piece three-blade MHK rotor with integrated healt...
Wess, D. ARL Penn State
Feb 09, 2016
24 Resources
0 Stars
Publicly accessible

Fallon FORGE: Geodetic Data

Fallon FORGE InSAR and geodetic GPS deformation data. InSAR shapefiles are packaged together as .MPK (ArcMap map package, compatible with other GIS platforms), and as .CSV comma-delimited plaintext. GPS data and additional metadata are linked to the Nevada Geodetic Laboratory data...
Blankenship, D. et al Sandia National Laboratories
Feb 01, 2018
8 Resources
0 Stars
Publicly accessible

A National Thermal Generator Performance Database

This submission contains cleaned and filtered data from the Environmental Protection Agency Clean Air Markets CAM database of thermal power plant operation and performance.
Rossol. . et al National Renewable Energy Laboratory
Dec 05, 2018
22 Resources
0 Stars
Publicly accessible

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible

3D Model of the Tuscarora Geothermal Area

The Tuscarora geothermal system sits within a ~15 km wide left-step in a major west-dipping range-bounding normal fault system. The step over is defined by the Independence Mountains fault zone and the Bull Runs Mountains fault zone which overlap along strike. Strain is transferre...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible

Mapping and Assessment of the United States Ocean Wave Energy Resource

This project estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...
EPRI, . et al Electric Power Research Institute
Dec 05, 2011
2 Resources
0 Stars
In curation

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

Lift Equivalence and Cancellation for Airfoil Surge-Pitch-Plunge Oscillations

A NACA 0018 airfoil in freestream velocity is oscillated in longitudinal, transverse, and angle-of-attack directions with respect to the freestream velocity, known as surge, plunge, and pitch. The lift-based equivalence method introduces phase shifts between these three motions to...
Elfering, K. and Granlund, K. North Carolina State University
Jan 01, 2020
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

Literature Data on Foam Fracturing Fluid

At the beginning of this project, the Temple team spent significant effort to collect data relevant to foam fracturing. More than 40 articles/reports were found in the open literature that reported the properties of aqueous foams under various testing conditions. The foam properti...
Thakor, V. et al Temple University
Nov 08, 2021
2 Resources
0 Stars
Publicly accessible
<< Previous34567891011Next >>
  • 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