Search GDR Data

Showing results 26 - 32 of 32.
Show results per page.
Order by:
Available Now:
Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"fracturing simulation"×
Processed Data×

EGS Collab Experiment 3: 4100 Tensile Stimulation and Thermal Circulation Testing

Aug 26, 2022
6.03 GB
Publicly accessible
These data and test descriptions are from a set of primarily tensile hydraulic-fracture stimulations in wells E2-TC and E2-TU and a subsequent chilled water circulation test conducted by injecting in well E2-TU on the 4100 level of the Sandford Underground Research Facility (SURF)...
Authors
Vermeul, V. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationexperimentegsflowflow testingwellinjectionproductiontensilee2-tce2-tucirculation tenstingexperiment 34100thermal circulationchilled water injectionraw datalogprocessed data

Utah FORGE: InSAR Data Best Pairs

May 31, 2023
4.9 GB
Publicly accessible
This submission provides Interferometric Synthetic Aperture Radar (InSAR) data covering the Utah FORGE site via the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). Data was collected between 2019/01/01 and 2023/06/30. Interferometric pairs (...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsremote sensinginsargeospatial dataprocessed dataterrasar-xtandem-xdigital elevation modelrasterdlrgmt-sargeneric mapping tool

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

Aug 16, 2018
30.41 MB
Publicly accessible
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Authors
Feigl, K. and Batzli, S. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarinterferometric synthetic aperture radarmodelingreportprocessed dataground deformationhydromechanical modelingfinite-elementgpssurface displacement

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

Apr 01, 2024
35.23 TB
Publicly accessible
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 ...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdasdistributed acoustic sensingseismictriggered eventsgeophonesdownholedownhole seismicneubrexgeoenergie suissegesaprill 2024stimulationhydraulic fracturingcountinuous dataraw dataprocessed datageophysics58-3216b78-3256-32monitoring well

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
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 ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

EGS Collab Experiment 1: Microseismic Monitoring

Jul 29, 2019
2.83 TB
Publicly accessible
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Authors
Schoenball, M. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmicroseismic monitoringmeso-scale stimulationssandford underground researchmesoscale experimentscrystalline rock3d sensorleadsouth dakotasta/lta triggering algorithmmicroseismicitycatalograw dataprocessed databinary file interpreterpythongeospatial data
<< Previous12