Search GDR Data
Showing results 1 - 25 of 36.
Show
results per page.
Order by:
Available Now:
Topic
Technologies
Demonstration Sites
Data Type
This database of geothermal direct-use systems in the U.S. was updated as part of the Geothermal Market Report from the National Renewable Energy Laboratory (NREL). Types of direct-use applications include hot springs resorts and pools, aquaculture farms, greenhouses, and district...
This dataset contains detailed information on geothermal district heating and cooling systems across the United States, including geothermal direct use-based district heating systems and geothermal heat pump (GHP)-based district heating and cooling systems.
The direct use-based ...
This dataset includes an Excel file with the results of direct shear tests to investigate the mechanical and geophysical response of saturated joints. Tests were conducted on induced tension-fractured Sierra White granite joints in a custom water pressurized chamber. The preparati...
This dataset includes results of direct shear tests to investigate the mechanical and geophysical response of dry and saturated fractures in Indiana limestone and Sierra White granite. Direct shear tests were performed on tensile-induced fractures in Indiana limestone and Sierra W...
The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
This dataset includes a consistent framework of annual, quarterly, and hourly energy demand and operational profiles for 63 U.S. manufacturing subsectors defined by NAICS classification, building on the county-level demand dataset "Updated U.S. Low-Temperature Heating and Cooling ...
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...
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...
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and t...
This collection of datasets describes the change (difference) in hourly energy consumption of the U.S. residential and commercial building stock while replacing existing HVAC systems with ground source heat pumps for all the balancing areas in the US, for all buildings eligible fo...
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...
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 ...
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16...
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Visualize the Utah FORGE DFN model in three-dimensional space using the Seequent Central public viewer. 131 discrete planar fractures have been interpreted by Aleta Finnila (https://gdr.openei.org/submissions/1750) from various data sets obtained during the 2022 and 2024 stimulati...
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Google Map