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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
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...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

Brady's Geothermal Field Nodal Seismometer Earthquake Data

Mar 21, 2016
95.92 MB
Publicly accessible
90-second records of data from 238 three-component nodal seismometer deployed at Bradys geothermal field. The time window catches an earthquake arrival. Earthquake data from USGS online catalog: Magnitude: 4.3 ml +/ 0.4 Location: 38.479 deg N 118.366 deg W +/ 0.7 km Depth: 9.9 km...
Authors
Feigl, K. University of Wisconsin
geothermalpassive seismicearthquakebrady geothermal fieldnevadaporotomoseismicmonitoringeqmicroseismicitymicroseismic3-componentnv

Programs and Code for Subsurface and MultiSite Geothermal Exploration Artificial Intelligence

Sep 01, 2023
337.85 kB
Awaiting release
This dataset provides Python scripts supporting both subsurface and surface geothermal exploration AI models developed for the project "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning." It includes two main components: (1) scripts fo...
Authors
Demir, E. and Duzgun, S. Colorado School of Mines
geothermalenergygeothermal explorationsubsurfacesurfacemulti-siteartificial intelligenceaimachine learningmldeep learninghyperspectral imaging3d modeling2d classificationvoxel dataraster dataland surface temperaturemineral markersk-meansdata processingtensorflowpythoncodegpuexploration

EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

Jun 07, 2019
5.23 MB
Publicly accessible
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...
Authors
Johnston, B. et al National Renewable Energy Laboratory
geothermalenergyegsegs collabtough2simulationenhanced geothermal systemssurfsanford underground research facilityreservoirmodelingtracernaturalfracturesfracturingchemicalsigma-vthermaltemperatureheat flowfluid flowmonitoringhydrauliccirculationinjectioninjectortough2-csmsorptiontransferbreakthrough