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Technologies
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Data Type
"Roosevelt Hot Spring"×
EGS Collab, SD×

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

DEMO-FTES Test 1: Water Flow, Pressure, Temperature, and Electrical Conductivity Data

Apr 16, 2025
6.33 GB
Publicly accessible
This dataset contains 1-second and hourly resolution water flow rate, pressure, temperature, and electrical conductivity data collected during Test 1 of the DEMO Fracture Thermal Energy Storage (FTES) project at the Sanford Underground Research Facility (SURF) between December 10,...
Authors
Burghardt, J. et al Pacific Northwest National Laboratory
geothermalenergyfracture thermal energy storageftesunderground thermal energy storagesanford underground research facilitysurfflow ratepressure datatemperature dataelectrical conductivityinjectionproductionborehole monitoringthermal circulation testsubsurface datademo-ftesfield experimentprocessed datathermal energy storagetesbtesutes