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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

EGS Collab Experiment 1: Common Discrete Fracture Network

Sep 18, 2019
5.69 MB
Publicly accessible
This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsgeophysicsfracturenetworkdiscrete fracture networkdfnfluidflowmodeldatafluid circulationboreholeweepcoresystemenhanced geothermal systemsandia national laboratorieselectrical resistivitywellinjection testtracerdrilling

Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Apr 03, 2019
324.78 kB
Publicly accessible
Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...
Authors
Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah
geothermalenergyforge-utahgeochemistrynumerical modelingfractureinjection testporosityfracture networkmodelingwell 58-32well datastimulationdrillingroosevelt hot springswell 45-3reservoirmineralsthermalaqueousquartzcalciteillitekaolinitephpolythermalreaction pathutah forgeegsmilfordutahenergy geoscience institute

Utah FORGE: Microseismic Surface Network Catalogs for Wells 16A(78)-32 and 16B(78)-32 Stimulation 2022 and Circulation 2023

Feb 09, 2024
32.36 kB
Publicly accessible
This dataset includes microseismic surface network catalogs for Utah FORGE. Data were recorded during the stimulation of well 16A(78)-32 in 2022 and the circulation tests between wells 16A(78)-32 and 16B(78)-32 in 2023. Near-surface seismic monitoring during circulation experimen...
Authors
Niemz, P. et al University of Utah Seismograph Stations
geothermalenergyutah forgewell 16a78-32well 16b78-3216a16bmicroseismic datamicroseismiccirculation testcirculationstimulationfracingroosevelt hot springseismic dataseismicegsmicroseismic eventscataloggeophysics

Utah FORGE 5-2615: Shear Enhanced Permeability In a Granitoid Fracture Presentation Slides

Feb 28, 2024
2.51 MB
Publicly accessible
Provided here is a set of presentation slides detailing stress-dependent permeability in FORGE granitoid fractures and how fracture slip affects permeability. It outlines empirical correlations between permeability, stress, and fracture aperture, emphasizing that mechanically clos...
Authors
Ghassemi, A. and Ye, Z. University of Oklahoma
geothermalenergyutah forgeegsfacture slippermeabilitystress-dependent permeabilitygranitoid fracturefracture networkstimulationapertureinjectionflow testshear testreservoir stressreportdata analysis

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots

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