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Demonstration Site Arvada, CO
Develop a highly efficient, durable, and scalable system to specify, manufacture, and install deep energy retrofits for low-rise residential buildings that is faster and less expensive than existing deep retrofit options by developing a highly automated end-to-end workflow for sit...
Pilet, T. Building Technologies Office (BTO)
Sep 14, 2022
1 Resources
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1 Resources
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Demonstration Site {city}, MA
Further develop the novel exterior insulated panel-block (PB) wall retrofit system prototyped in Phase 1 and incorporate it into an integrated deep energy retrofit (DER) process comprising a suite of high-performance building technologies, targeting 1-4 family homes in cold, very ...
Pilet, T. Building Technologies Office (BTO)
Sep 14, 2022
1 Resources
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1 Resources
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Demonstration Site Syracuse, NY
Demonstrate a transformative solution for whole-building deep energy retrofits of single-family attached residences in cold/very cold climate regions that is extendable to single-family detached and low-rise multifamily housing.
Pilet, T. Building Technologies Office (BTO)
Sep 14, 2022
1 Resources
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1 Resources
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EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data
Two broadband seismometers were installed on the 4100 level and recorded for the duration of EGS Collab Experiment #2. Inspired by published data from similar instruments installed in the Aspo Hard Rock Lab, these long-period instruments aimed to measure the tilting of the drift i...
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
Sep 12, 2022
6 Resources
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6 Resources
0 Stars
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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
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3 Resources
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INGENIOUS Great Basin Regional Dataset Compilation
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Ayling, B. et al GBCGE, NBMG, UNR
Jun 30, 2022
16 Resources
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16 Resources
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Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...
Brown, S. and Smith, C. Nevada Bureau of Mines and Geology
Jun 30, 2022
4 Resources
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4 Resources
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Kilauea Magnetotelluric Dataset
In 2002 and 2003 a collaborative effort was undertaken between Lawrence Berkeley National Laboratory, Sandia National Laboratories, the USGS Menlo Park, the USGS Hawaiian Volcano Observatory, and Electromagnetic Instruments Inc. to study the Kilauea volcano in Hawaii using the mag...
Hoversten, G. and Gasperikova, E. Lawrence Berkeley National Laboratory
Jun 16, 2022
72 Resources
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72 Resources
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High-Fidelity Building Emulator
This dataset provides high-fidelity time series data for an emulated commercial office building sited in the Chicago, IL area during a Typical Meteorological Year (TMY). This dataset consists of air-side HVAC measurements and control inputs, and it includes normal operations as w...
Bakker, C. et al Building Technologies Office (BTO)
Jun 15, 2022
1 Resources
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1 Resources
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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
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Curated
4 Resources
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Curated
Utah FORGE Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Vasco, D. and Chan, C. Array Information Technology
Apr 30, 2022
2 Resources
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2 Resources
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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Vasco, D. et al Lawrence Berkeley National Laboratory
Apr 29, 2022
4 Resources
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4 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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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
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3 Resources
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EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test
This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from...
Zhang, Y. et al Stanford University
Jan 01, 2022
4 Resources
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4 Resources
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Reactive Transport Simulations of High-Tempertature Geologic Thermal Energy Storage (GeoTES) in Deep Saline Formations I/O Files
Simulation input and output files, post-processed figures and excel tables, and tecplot layout files for generating figures. These simulations were run with TOUGHREACT V4.12 by Lawrence Berkeley National Laboratory in 2021. This work was completed as part of the geologic thermal e...
Spycher, N. and Doughty, C. Lawrence Berkeley National Laboratory
Dec 31, 2021
2 Resources
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2 Resources
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Mass Customization of Prefabricated Panel Blocks for Deep Wall Insulation Retrofits
The project this data comes from looks to make building wall retrofits less expensive and easier to install by using exterior insulating panels. This is done to make buildings more energy efficient without expensive wall retrofits or reconstruction. The "Measurement and Verificati...
Sharon, A. et al Fraunhofer Center for Manufacturing Innovation CMI
Dec 14, 2021
2 Resources
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2 Resources
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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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Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...
Moraga, J. Colorado School of Mines
Oct 01, 2021
4 Resources
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4 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
4 Resources
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4 Resources
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Utility-Scale Solar, 2021 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2021 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Bolinger, M. et al Lawrence Berkeley National Lab
Sep 30, 2021
2 Resources
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2 Resources
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Utah FORGE Well 16A(78)-32 X-ray Diffraction Data
This submission contains x-ray diffraction data taken from 3,600 to 10,987 feet deep in well 16A(78)-32 in the Roosevelt Hot Springs Geothermal Area as part of the Utah FORGE project. 78 rock samples were taken. Samples are taken in a range of ten feet at 100 foot increments. Mine...
Jones, C. Energy and Geoscience Institute at the University of Utah
Jul 29, 2021
1 Resources
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1 Resources
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
11 Resources
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11 Resources
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USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
DeAngelo, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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