Search OEDI Data

SMP Preparation, Programming, and Characterization

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

REE Adsorption Performance with Immobilized Caulobacter Biofilms

This submission includes data collected from experiments on the performance of rare earth adsorption by immobilized bacteria that accompany the FY18 Q2 and Q3 quarter reports. Relevant information from these reports is included in a resource below. The spreadsheet below includes d...

Jiao, Y. and Park, D. Lawrence Livermore National Laboratory

Apr 01, 2018
2 Resources
0 Stars
Publicly accessible

Great Salt Lake Composition and Rare Earth Speciation Analysis

We have conducted aqueous speciation analyses of the Great Salt Lake (GSL) brine sample (Table 1) and a mock geo sample (Table 2) spiked with 1 ppb Tb and 100 ppb Tb. The GSL speciation (Figure 1) aligns with our basic speciation expectations that strong carbonate complexes would ...

Jiao, Y. et al Lawrence Livermore National Laboratory

Apr 19, 2017
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...

Alumbaugh, D. et al Lawrence Berkeley National Laboratory

Dec 01, 2022
5 Resources
0 Stars
Publicly accessible

USGS National Oil and Gas Assessment: GIS Data

The USGS Central Region Energy Team assessed the oil and gas resources of the United States. Cell maps for each oil and gas production area were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Mar 25, 1996
6 Resources
0 Stars
In curation

West Flank Coso FORGE: Refined Earthquake Focal Mechanism Catalog for Southern California (1981-2010)

A refined earthquake mechanism catalog for southern Califiornia using the HASH method and locations derived from waveform cross-correlation. Each focal mechanism is obtained from grid searching for the best-fitting double-couple focal mechanism solution to both the P-wave first mo...

Blankenship, D. Sandia National Laboratories

Dec 31, 2014
1 Resources
0 Stars
Publicly accessible

Dynamic Column Extraction for Europium on Media 1 at Ambient Temperature

This is a dataset for a 200ppm europium solution sent through a column with 12g of media #1 at pH of 3.2. This column experiment was run at ambient temperature at a flow rate of 2mL/min.

Garland, G. Tusaar Corp.

Apr 07, 2015
2 Resources
0 Stars
Publicly accessible

Lidar California Leosphere Windcube 866 (120), Humboldt Raw Data

**Overview** Deployment off the coast of Humboldt, California **Data Details** Windcube Data Files: lidar.z05.00.20200929.000000.gyro.7z lidar.z05.00.20200929.000000.rtd.7z lidar.z05.00.20200929.000000.sta.7z lidar.z05.00.20200929.000000.stdrtd.7z lidar.z05.00.20...

Gorton, A. Wind Energy Technologies Office (WETO)

Oct 01, 2020
1 Resources
0 Stars
Publicly accessible

Extreme Significant Wave Heights for US Coastal Waters

Includes extreme significant wave heights, in meters, computed using peaks over threshold method on NOAA 30-year WWIII hindcast data. Extreme values for 5, 10, 25, 50, and 100 year return periods were computed. Sites cover US coastlines. Column 1: Site identifier/name Column 2: S...

Bredin, S. Sandia National Laboratories

Sep 01, 2016
1 Resources
0 Stars
Publicly accessible

SE Great Basin Play Fairway Analysis PFA Models and Probability Map

This submission includes a Na/K geothermometer probability greater than 200 deg C map, as well as two play fairway analysis (PFA) models. The probability map acts as a composite risk segment for the PFA models. The PFA models differ in their application of magnetotelluric conducto...

Brandt, A. University of Utah

Nov 15, 2015
3 Resources
0 Stars
Publicly accessible

United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential...

Lopez, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...

Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory

Apr 30, 2019
7 Resources
0 Stars
Publicly accessible

Tularosa Basin Play Fairway Analysis: Modeled MT Resistivity Data for the McGregor Range, New Mexico

This is the inversion resistivity data from a magnetotelluric survey done as part of Phase 2 Tularosa Basin, New Mexico, geothermal play fairway analysis. The data covers part of McGregor Range, Fort Bliss. The inversion was done by Phil Wannamaker and Virginia Maris of the Energy...

Nash, G. et al Energy and Geoscience Institute at the University of Utah

Apr 30, 2017
1 Resources
0 Stars
Publicly accessible

Smart Grid Data from the American Recovery and Reinvestment Act (ARRA) Projects

The data provided in this Excel spreadsheet is the final data that was collected through the Smart Grid Data Hub and provided by the individual Smart Grid Investment Grant (SGIG) project recipients. The project recipients represent utilities from across the country who received f...

Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory

Jun 02, 2015
2 Resources
0 Stars
In curation

Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025

These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...

Lu, G. et al University of Pittsburgh

Jun 05, 2025
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Core Material Friction Experiments

The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...

Marone, C. et al Pennsylvania State University

Mar 15, 2023
7 Resources
0 Stars
Publicly accessible

Ground Magnetic Data for West-Central Colorado

Modeled ground magnetic data was extracted from the Pan American Center for Earth and Environmental Studies database at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was then imported into an Excel sprea...

Zehner, R. Flint Geothermal, LLC

Mar 08, 2012
1 Resources
0 Stars
Publicly accessible

Lidar Massachusetts Leosphere Windcube 866 (120) Raw Data

**Overview** This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below. **Data Deta...

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 01, 2019
1 Resources
0 Stars
Publicly accessible

Lidar Massachusetts Leosphere Windcube 866 (130) Raw Data

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 10, 2019
1 Resources
0 Stars
Publicly accessible

Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...

Tester, J. Cornell University

Jan 01, 2015
3 Resources
0 Stars
Publicly accessible

Repetitive Regeneration of Media 1 after REE Sorption from Brine 1 at 70C

This dataset shows the ability of media #1 to be loaded with REE's, stripped of the REE's sequestered, regenerated, and reused over many cycles.

Garland, G. Tusaar Corp.

Jul 23, 2015
3 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

Observation-Based Resource Assessment of Gulf Stream MHK

Multi-year measurements of current velocity, salinity, and temperature from fixed and vessel-mounted sensors quantify Gulf Stream (GS) MHK resource variability and inform development off Cape Hatteras, NC. Vessel transects across the GS demonstrate a jet-like velocity structure wi...

Muglia, M. et al North Carolina State University

Jan 01, 2020
1 Resources
0 Stars
Publicly accessible

Lidar California Leosphere Windcube 866 (130), Morro Bay Raw Data

**Overview** Deployment off the coast of Morro Bay, California. **Data Details** Windcube Data Files: lidar.z06.00.20200929.000000.gyro.7z lidar.z06.00.20200929.000000.rtd.7z lidar.z06.00.20200929.000000.sta.7z lidar.z06.00.20200929.000000.stdrtd.7z lidar.z06.00....