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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
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6 Resources
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GPS Station RINEX Files and Position Time-Series
Links to URL's with latest position time-series of GPS stations SEMN, SEMS, and GARL at the San Emidio Desert Geothermal Area as well as URL with links to archived RINEX files. The data is being taken as part of the WHOLESCALE project for the purpose of developing a protocol for s...
Feigl, K. University of Wisconsin
Oct 14, 2021
6 Resources
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6 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
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6 Resources
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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Siler, D. and Pepin, J. United States Geological Survey
Oct 01, 2021
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4 Resources
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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
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4 Resources
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Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One
Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats and parabolic troughs. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhi...
Egerer, U. et al National Renewable Energy Laboratory (NREL)
Oct 01, 2021
4 Resources
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Curated
4 Resources
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Curated
Confined Brazilian Tests for Rock Failure Envelope and Behavior
Includes test data from Confined Brazilian Tests. The tests were aim at investigating the rock failure envelope of four different lithologies including Indiana limestone, Scioto sandstone, Grey Berea sandstone, and Tennessee sandstone. Tables include the strength data obtained usi...
Ghassemi, A. and Li, Y. University of Oklahoma
Aug 31, 2021
2 Resources
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2 Resources
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OC6 Phase Ia Nonlinear hydrodynamic loading validation dataset
**Overview**
Two validation campaigns were examined within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) Phase 1 project to examine the modeling tools' underprediction of loads and motion of a floating wind semisubmersible (semi) at...
Robertson, A. Wind Energy Technologies Office (WETO)
Aug 08, 2021
1 Resources
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EGS-Collab Experiment 1: Time-lapse ERT Data and E4D Inversion Files for 10-24-2018 through 11-07-2018 Flow Test
This data submission includes the raw time-lapse ERT (electrical resistivity tomography) monitoring data, flow system data, operator logs, E4D (https://e4d.pnnl.gov) inversion files, and metadata necessary to reproduce the 4D ERT inversion for the Oct. 24 through Nov. 7 2018 post-...
Johnson, T. Pacific Northwest National Laboratory
Jul 30, 2021
5 Resources
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5 Resources
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Friends Center Building, Philadelphia, Pennsylvania
The data from the Friends Center Building in Philadelphia, Pennsylvania, come from a one-year study of 24 U.S. office occupants. These office occupants recorded a set of possible drivers of personal comfort and behavior over time by completing online daily surveys, which provided ...
Langevin, J. and Luo, N. Building Technologies Office (BTO)
Jul 28, 2021
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Systems Engineering Building, Richland, Washington
This dataset includes processed and raw data from the building management system for the Systems Engineering Building (SEB) located on the Pacific Northwest National Laboratory campus in Richland, Washington. SEB is a Leadership in Energy and Environmental Design (LEED) gold-certi...
Chandan, V. et al Building Technologies Office (BTO)
Jul 28, 2021
1 Resources
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1 Resources
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Vanderbilt Alumni Hall, Nashville, Tennessee
This dataset from the Vanderbilt Alumni Hall Building (VAH) on the University of Vanderbilt campus in Nashville, Tennessee, includes processed and raw data. A gold-certified Leadership in Energy and Environmental Design (LEED) building, VAH is a mixed-use commercial building that ...
Naug, A. et al Building Technologies Office (BTO)
Jul 28, 2021
1 Resources
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Triton Field Trials (TFiT) underwater noise University of New Hampshire Living Bridge turbine Processed Data
In July 2021, a commercial-off-the-shelf hydrophone was deployed in a free-drifting configuration to measure underwater acoustic emissions and characterize a 25 kW-rated tidal turbine at the University of New Hampshire's Living Bridge Project in Portsmouth, New Hampshire. Sampling...
Haxel, J. et al Pacific Northwest National Laboratory
Jul 21, 2021
6 Resources
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6 Resources
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DCIF Westerly Granite AE Stress Effect Test (Task 3-1)
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on rectangular Westerly granite blocks (width=depth=4.0", height=2.0"). Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (A...
Nakagawa, S. and Trzeciak, M. Lawrence Berkeley National Laboratory
Jul 08, 2021
15 Resources
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15 Resources
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2021 Cook Inlet Tidal Energy Resource Characterization Bottom Lander Measurements
These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook Inlet, Alaska. The lander was deployed at 60.7207031 N, 151.4294998 W in ~50 m of water.
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Kilcher, L. and McVey, J. National Renewable Energy Laboratory
Jul 01, 2021
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22 Resources
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INGENIOUS Thermal Conductivity Measurement Source Categorization
Thermal conductivity (TC) data taken for different wells at a specified drill depth. This is an abridged version of the complete SMU heat flow database, downloaded from the SMU node of the NGDS at the beginning of INGENIOUS (approximately April 2021), and filtered to the INGENIOUS...
Batir, J. and Gentry, E. University of Nevada, Reno
Jun 01, 2021
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1 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
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3 Resources
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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data
**Overview**
This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models.
**Data Details**
Stations 1-22 are sonic anemometers at a h...
Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)
May 06, 2021
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Finite Element Analysis (FEA) for Water-Foam Fracturing of Granite Rock
In addition to the foam data that were obtained from literature and that were collected from the current study, simulation data was also generated from finite element analysis (FEA) conducted in this study using COMSOL Multiphysics software. The FEA models were built to simulate t...
Thakor, V. et al Temple University
May 04, 2021
1 Resources
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1 Resources
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Utah FORGE Report on the Thermal Properties of Wells 16A(78)-32 & 58-32 Granite
This is a report from Metarock Laboratories on the thermal properties of Utah FORGE wells 16A(78)-32 & 58-32 granite. The report includes pictures of core samples, core details for the samples (where the sample was taken and the size of the sample), sample thermal expansion test r...
Laboratories, M. et al Energy and Geoscience Institute at the University of Utah
May 04, 2021
1 Resources
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1 Resources
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Motion Tracking Above and Below Water Dataset
This data set includes one trial of above and under water motion tracking measurements from a Qualysis motion tracking system. The Qualisys native .qtm file can be opened by the Qualisys Track Manager software. Data from this file has been exported to a tab separated value (.tsv...
Bosma, B. and Lomonaco, P. Pacific Marine Energy Center (PMEC)
Apr 23, 2021
3 Resources
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3 Resources
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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
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18 Resources
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Utah FORGE: Well 58-32 (MU-ESW1) FMI Log Fracture Results
A Schlumberger Fullbore Formation Micro-Imager (FMI) log was run from 7390 feet to 7527 feet depth in well 58-32, originally known as well MU-ESW1. Well 58-32 was completed in 2017 as part of Utah FORGE Phase 2. It reached a depth of 7536 feet and recorded a bottom hole temperatur...
BLOCHOWICZ, A. Energy and Geoscience Institute at the University of Utah
Mar 06, 2021
1 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid
Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 26, 2021
15 Resources
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15 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 22, 2021
14 Resources
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14 Resources
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