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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
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Utah FORGE: LBNL Reports on VEMP Electromagnetic Data Collection and Processing 2024

This archive contains reports related to Vertical Electromagnetic Profiling (VEMP) tool data collection and processing at Utah FORGE in 2024. The first report describes LBNL's effort to collect electromagnetic geophysical data with the tool in well 78-32B and a downhole electrode ...

Alumbaugh, D. et al Los Alamos National Laboratory

Mar 02, 2025
1 Resources
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Sodar Brady, TX Processed Data

**Overview** This dataset was produced from the raw sodar .txt files from the Brady, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource ...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 14, 2011
1 Resources
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Sodar Jayton, TX Processed Data

**Overview** This dataset was produced from the raw sodar .txt files from the Jayton, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 14, 2011
1 Resources
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Sodar Lubbock, TX Processed Data

**Overview** This dataset was produced from the raw sodar .mnd files from the Lubbock, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resourc...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jun 15, 2011
1 Resources
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Sodar Colorado City, TX Processed Data

**Overview** This dataset was produced from the raw sodar .txt files from the Colorado City, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind r...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 14, 2011
1 Resources
0 Stars
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Sodar St. James, MN Processed Data

**Overview** This dataset was produced from the raw sodar .wtb files from the St. James, MN site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind reso...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 27, 2011
1 Resources
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Hydrokinetic Canal Measurements: Inflow Velocity, Wake Flow Velocity, and Turbulence

The dataset consist of acoustic Doppler current profiler (ADCP) velocity measurements in the wake of a 3-meter diameter vertical-axis hydrokinetic turbine deployed in Roza Canal, Yakima, WA, USA. A normalized hub-centerline wake velocity profile and two cross-section velocity con...

Gunawan, B. Sandia National Laboratories

Jun 11, 2014
4 Resources
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Microwave Radiometer UMBC Microwave Radiometer Raw Data

**Overview** Kipp & Zonen Microwave Temperature Profiler (MTP-5) with a 5 min temporal and 50 m vertical resolution.

Delgado, R. Wind Energy Technologies Office (WETO)

Apr 10, 2015
1 Resources
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Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing....

Kilcher, L. National Renewable Energy Laboratory

Jun 18, 2012
7 Resources
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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
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PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...

Feigl, K. et al University of Wisconsin

Mar 29, 2016
20 Resources
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EGS Collab: 3D Geophysical Model Around the Sanford Underground Research Facility

This package contains data associated with a proceedings paper (linked below) submitted to the 44th Workshop on Geothermal Reservoir Engineering. The Geophysical Model text file contains density, P and S-wave seismic speeds on a 3D grid. The file has six columns and provides latit...

Chai, C. et al Lawrence Berkeley National Laboratory

Feb 06, 2019
3 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the Mt. Simon Sandstone

These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.

Lin, Y. et al University of Illinois

Mar 30, 2018
5 Resources
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Brady's Geothermal Field Nodal Seismometer Data

This submission includes links to raw data, field notes, metadata, and p-wave arrival auto-picks from processed data (not provided) from the nodal seismometer array deployed at the PoroTomo Natural Laboratory in Brady's Hot Springs, Nevada during the March 2016 testing. The data i...

Parker, L. University of Wisconsin

Mar 30, 2016
7 Resources
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Brady's Geothermal Field March 2016 Vibroseis SEG-Y Files and UTM Locations

PoroTomo March 2016 Updated vibroseis source locations with UTM locations. Supersedes gdr.openei.org/submissions/824. Updated vibroseis source location data for Stages 1-4, PoroTomo March 2016. This revision includes source point locations in UTM format (meters) for all four Stage...

Feigl, K. University of Wisconsin

Mar 31, 2016
10 Resources
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Seismic Survey 2016 Data at Crescent Valley, Nevada

In September 2016, 989 vertical-component seismic instruments were deployed for 75 hours at the Crescent Valley greenfield geothermal play area in Nevada. Data were recorded 12/9/16 12/15/16. Data are stored in individual files in one-minute increments in SEGD formats. See the met...

Lord, N. et al University of Wisconsin Madison

Dec 04, 2023
6 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Wasco Airport Derived Data

**Overview** Profiles of turbulence dissipation rate for 15-minute intervals, time-stamped at the beginning of the 15-minute period, during the final 30 minutes of each hour. During that time, the 915-MHz wind profiling radar was in an optimized configuration with a vertically po...

McCaffrey, K. Wind Energy Technologies Office (WETO)

Oct 12, 2015
1 Resources
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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
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Utah FORGE: Groundwater Data

This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.

Moore, J. Energy and Geoscience Institute at the University of Utah

Jul 20, 2016
5 Resources
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AASG Wells Data for the EGS Test Site Planning and Analysis Task

Temperature measurement data obtained from boreholes for the Association of American State Geologists (AASG) geothermal data project. Typically bottomhole temperatures are recorded from log headers, and this information is provided through a borehole temperature observation servic...

Augustine, C. National Renewable Energy Laboratory

Oct 09, 2013
1 Resources
0 Stars
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Lidar LLNL ZephIR Profiler, Arlington Airport Reviewed Data

**Overview** These are 10-min averaged data from a vertical-profiling ZephIR 300 lidar. Data collected at the Arlington airport for the WFIP2 project. March 10, 2016 April 1, 2017 **Data Details** 1 Hz data are available from: wharton4@llnl.gov **Data Quality** Instrument ...

Wharton, S. Wind Energy Technologies Office (WETO)

Mar 09, 2016
1 Resources
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Brady's Geothermal Field Distributed Temperature Sensing Data

This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...

Patterson, J. University of Wisconsin

Mar 26, 2016
2 Resources
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Snake River Plain FORGE: Well Data for WO-2

Well data for the WO-2 well located in eastern Snake River Plain, Idaho. This data collection includes lithology reports, borehole logs, temperature at depth data, neutron density and gamma data, and rock strength parameters for the WO-2 well. This collection of data has been ass...

Podgorney, R. Idaho National Laboratory

Jul 29, 1991
9 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
2 Resources
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