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Utah FORGE: Downhole Geophone Seismic Data (August 2022)
This is a link to downhole geophone data collected by Schlumberger. These data were collected in the Utah FORGE deep seismic monitoring wells 58-32 and 56-32. The format is a standard SEGY and the units are bits. To convert to acceleration (m/s2) multiply by 2.333 x 10-7. Use one ...
Pankow, K. and Schlumberger, S. University of Utah Seismograph Stations
Aug 25, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Wind Integration National Dataset (WIND) Toolkit
Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...
Maclaurin, G. et al National Renewable Energy Laboratory
Sep 26, 2014
6 Resources
1 Stars
Publicly accessible
6 Resources
1 Stars
Publicly accessible
Utah FORGE: Microseismic Monitoring Geophone Data from Well 78-32
This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...
Pankow, K. University of Utah
Mar 18, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Analyzed Boise Data for Oscillatory Hydraulic Tomography
Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...
Lim, D. University of Wisconsin
Jul 01, 2015
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Fish Detection AI, sonar image-trained detection, counting, tracking models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Physical and Numerical Modeling Open Source Files and Datasets for 1:6 Scale Reference Model 2 (RM2) Cross-Flow Turbine
This submission includes Github links to open source files and data sets, including the numerical model, CACTUS, input files, source code and output files, CAD files of the 1:6 scale model DOE's RM2 cross-flow turbine, power performance data and wake flow measurements from the 1:6...
Neary, V. Sandia National Laboratories
Jun 30, 2015
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
StingRAY Structural Optimization Final Technical Report
The overall project objective is to materially decrease the leveled cost of energy (LCOE) of the Columbia Power (CPower) StingRAY utility-scale wave energy converter (WEC). This will be achieved by reducing structural material and manufacturing costs and increasing energy output. ...
Lenee-Bluhm, P. Columbia Power Technologies, Inc.
Aug 05, 2020
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
TEAMER: AquaHarmonics High Fidelity WEC Sim PTO and Control Model Validation, Sim Model
Collaborative effort between AquaHarmonics, Sandia National Laboratories (SNL), and the National Renewable Energy Laboratory (NREL) to revise and validate Aquaharmonics' full wave to wire model, allowing for reduced uncertainty and increased understanding of design requirements of...
Tom, N. and Leon, J. AquaHarmonics, Inc.
Dec 31, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
National Residential Efficiency Measures Database (REMDB)
This project provides a national unified database of residential building retrofit measures and associated retail prices and end-user might experience. These data are accessible to software programs that evaluate most cost-effective retrofit measures to improve the energy efficien...
Moore, N. et al National Renewable Energy Lab NREL
Sep 29, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Early Market Opportunity MHK Energy Site Identification Wave and Tidal Resources
This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--base...
Kilcher, L. National Renewable Energy Laboratory
Apr 01, 2016
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
TEAMER: Supporting model output files for Environmental Compliance Framework for Floating Tidal Turbines, Cook Inlet, AK
Orbital Marine Power (Orbital) is seeking to deploy their floating tidal technology in US waters and has considered the possibility of deploying in temperate waters including the Pacific Northwest (PNW) and the Western Passage, Maine. It has become apparent that some of the most p...
Wang, T. et al Pacific Northwest National Laboratory
Mar 01, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Fish Detection AI, Optic and Sonar-trained Object Detection Models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Slater, K. et al Water Power Technology Office
Jun 25, 2014
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 56-32 Drilling Data and Logs
This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory, sonic, array induction/spectral density/dual spaced neutron/gamma ray/caliper, spectral GR/temperature, and Gardner ...
Bristol, J. et al Energy and Geoscience Institute at the University of Utah
Mar 19, 2021
18 Resources
0 Stars
Publicly accessible
18 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
6 Resources
0 Stars
Publicly accessible