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ALFA Non-linear Ocean Waves and PTO Control Strategy
Data from Advanced Laboratory and Field Arrays (ALFA) Non-linear Ocean Waves and Power Take-Off (PTO). Control Strategy project conducted at the O.H. Hinsdale Wave Research Laboratory (HWRL) at Oregon State University in 2019/2020. Contains two zip files (ALFANL.zip, ALFANL2.zip)...
Bosma, B. et al Pacific Marine Energy Center (PMEC)
Oct 28, 2019
9 Resources
0 Stars
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9 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 Cementing and Circulation Fiber Optics Monitoring Reports July, 2023
Included here are two fiber optics monitoring reports on Utah FORGE well 16B(78)-32 from Neubrex Energy Services. These reports review the fiber optics monitoring during both the cementing and circulation test periods of the well. Cementing as well as post-cementing monitoring a...
Jurick, D. et al Neubrex Energy Services (US), LLC
Oct 21, 2023
2 Resources
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2 Resources
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M3 Wave DMP/APEX WEC Final Technical Report
This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...
Morrow, M. et al M3 Wave
May 31, 2018
1 Resources
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1 Resources
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Utah FORGE: Triaxial Direct Shear Results February 2025
This dataset contains results from nine triaxial direct shear tests conducted by Los Alamos National Laboratory on samples from FORGE Well 16A(78)-32. The primary objectives of this work were to determine the shear strength in both intact and residual states, evaluate dilation aga...
Frash, L. et al Los Alamos National Laboratory
Feb 28, 2025
1 Resources
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1 Resources
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Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Pipe Preparation Report
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This pipe preparation report is based on the test pipe that was procured and pr...
Teodoriu, C. et al Welltec
Mar 31, 2023
2 Resources
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2 Resources
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Innovative Technologies to Overcome Interface Challenges for Wall Retrofit Systems
In this project, we will develop a system of computer-assisted, automated workflows to specify, manufacture, and install panelized retrofit systems, focusing particularly on panel joints and interface detailing between the panels and facade openings. The proposed system will subst...
Harris, C. et al National Renewable Energy Laboratory (NREL)
Dec 13, 2021
3 Resources
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3 Resources
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Fallon FORGE: Vs30m Seismic Velocity
Time-averaged shear-wave velocity to 30 m depth about the Fallon, NV FORGE site.
Blankenship, D. and Kaven, J. Sandia National Laboratories
Mar 12, 2018
3 Resources
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3 Resources
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Temperature and Pressure Data Brady Monitoring Well SP-2
Static Pressure and Temperature Log for Brady monitor well SP-2. This data was taken from Well SP-2 which is part of the Brady Hot Springs Geothermal Site. The data contains pressure and temperature vs depth data for RIH (run in hole) Static conditions and POOH (pull out of hole) ...
Akerley, J. University of Wisconsin
Jan 01, 2015
2 Resources
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2 Resources
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West Flank Coso FORGE: Seismic Reflection
PDFs of seismic reflection profiles 101,110, 111 local to the West Flank FORGE site.
45 line kilometers of seismic reflection data are processed data collected in 2001 through the use of vibroseis trucks. The initial analysis and interpretation of these data was performed by Unru...
Blankenship, D. Sandia National Laboratories
May 16, 2016
1 Resources
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1 Resources
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Utah FORGE: MT Stations and Raw Data
There are two zipped folders in this submission. One contains a shapefile with the position of MT stations around the Milford FORGE Site, while the other has the raw MT data.
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
2 Resources
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2 Resources
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Fallon FORGE: 3D Geologic Model
An x,y,z scattered data file for the 3D geologic model of the Fallon FORGE site. Model created in Earthvision by Dynamic Graphic Inc. The model was constructed with a grid spacing of 100 m. Geologic surfaces were extrapolated from the input data using a minimum tension gridding al...
Blankenship, D. Sandia National Laboratories
Mar 01, 2016
1 Resources
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1 Resources
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StingRAY H1 Humboldt Cost Breakdown Structure
Columbia Power LCOE (levelized cost of energy) Model for the Stingray H1 at the DOE Reference Site of Humboldt, CA. The model is integrated with and reports LCOE from DOE Cost Breakdown Structure
Rhinefrank, K. Columbia Power Technologies, Inc.
Mar 06, 2017
1 Resources
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1 Resources
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations
This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area:
An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...
Abraham, S. et al Energy and Geoscience Institute at the University of Utah
Mar 26, 2019
6 Resources
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6 Resources
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CalWave Device Behavior in Different Sea States from Scaled Tank Testing
This submission contains a summary of tank test derived WEC device behavior in different irregular sea states.
CalWave sought to conduct experimental tank testing of scaled prototype units early on in the design process to obtain a first estimation of device performance for sea ...
Boerner, T. and Murray, B. CalWave Power Technologies Inc.
Mar 30, 2018
1 Resources
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1 Resources
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Utah FORGE: Stress Logging Data
This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 14, 2018
1 Resources
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1 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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Utah FORGE: Well 16A(78)-32 Stage 1 Pressure Falloff Analysis
This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic...
Kazemi, H. et al Colorado School of Mines
Aug 04, 2022
1 Resources
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1 Resources
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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
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2 Resources
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McGee Mountain Geoprobe Study, Humboldt County, Nevada
Geoprobes were developed by the environmental industry to collect water, gas and soil samples from contaminated sites at shallow depths (10-40 meters), with a minimum of environmental disturbance. A modified Geoprobe was used to collect bottom hole temperatures, and attempt to col...
Tullar, K. Geothermal Technical Partners, Inc.
Jun 19, 2010
3 Resources
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3 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
4 Resources
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4 Resources
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA
TO4 Task 3.1 K Hovnanian Chicago, IL
DOE Challenge Home Program Certified
Home Constructed and Verified
Specifications
DOE Challenge Home
Building envelope
Ceiling R-49 blown fiberglass, Grade I
Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I
and 1"" R-5 extrude...
Loomis, H. and Kerrigan, P. Building Science Corporation
Apr 27, 2016
6 Resources
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6 Resources
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HERO WEC V1 Upgrade 2023 Laboratory Testing (processed data)
The following submission includes processed laboratory data from NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of MATLAB workspaces. This dataset was created using NREL's Large Amplitude Motion Platform (LAMP) and collected between Aug...
Panzarella, J. et al National Renewable Energy Laboratory
Jan 01, 2024
12 Resources
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12 Resources
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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
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5 Resources
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Newberry EGS Seismic Velocity Model
We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW ...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
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1 Resources
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
1 Resources
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1 Resources
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