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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

Thermal Drawdown Induced Flow Channeling in Fractured Geothermal Reservoirs: Rock Mechanics and Rock Engineering

Nov 15, 2015
16.88 MB
Publicly accessible
We investigate the flow-channeling phenomenon caused by thermal drawdown in fractured geothermal reservoirs. A discrete fracture network-based, fully coupled thermal "hydrological" mechanical simulator is used to study the interactions between fluid flow, temperature change, and t...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalthermal drawdownflow channelingthermomechanical couplingreservoir simulationstimulationegsenhanced geothermal reservoirsexplosive fracturing

Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

Feb 07, 2023
6.04 MB
Publicly accessible
This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques...
Authors
Sharma, M. and Cao, M. University of Texas
utah forgegeothermalfracture modellingdiscrete fracture modellingfracture propagation modellingutah forge fracture modellingdfnwell 16a78-32well 58-32fracture propagationegsenhanced geothermal systemsstimulationprocessed data

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
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...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects

Aug 31, 2013
10.97 MB
Publicly accessible
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Authors
Schroeder, J. et al Argonne National Laboratory
geothermalegswaterlife cyclewater consumptionpowerregional water resource assessmentstimulationinternationaldomesticgeologypermitnevadaproductioninjectioncaliforniaoregonoperationalabovegroundmake-upcoolingwellobservation wellnepadrillingproduction wellinjection wellchemicalflow testcirculation testexploration welllossreservoir lossbelowground lossoperational lossloss ratelife cycle assessmentwater resource

Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency

Dec 31, 2025
285.14 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2492, which investigated advanced stimulation design and diagnostic approaches to improve fracture uniformity, inter-well connectivity, and energy recovery efficiency in enhanced ge...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyutah forgeegsstimulation designfracture uniformitywell connectivityenergy recovery efficiencytechnical reportstimulationcirculation test16a16bdistributed fiber-optic sensingdtsdasdistributed strainnumerical modelingfracture growthfmitracerfracture geometrygeomechanicsgeophysics

Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation 2026 Workshop Presentation

Sep 30, 2026
33.43 MB
Curated
This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to supp...
Authors
Dvory, N. University Of Utah
geothermalenergyutah forgeegsmachine learningseismologyseismic monitoringreal-time2026 annual workshopreservoir developmentmachine-learninggeomechanicsrisk assessmentdecision-makingdecision supporttraffic lightfault characterizationpresentationreportinduced seismicitygeothermal reservoir management

CO2 Push-Pull Single Fault Injection Simulations

Sep 21, 2017
24.3 MB
Publicly accessible
ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...
Authors
Borgia, A. et al Lawrence Berkeley National Laboratory
geothermalenergyco2 injectionfault characterizationfault imagingseismic imagingegstough2gmsfracturespermeable flow pathspermeability characterizationidentificationcarbon dioxideinjectionproductionfault sensitivityfault systemfracture systemrock propertiesfluid mechanicspressure transientstimulationreservoir

Utah FORGE 1-2551: Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores 2023 Annual Workshop Presentation and Report

Sep 08, 2023
73.57 MB
Publicly accessible
Included here are a presentation recording, slides, and report on the Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores project by Colorado School of Mines, presented by Dr. William W. Fleckenstei...
Authors
Fleckenstein, W. et al Colorado School of Mines
geothermalenergyannual workshop2023utah forgeegsstimulationheat-carrier fluidzonal isolationmultistage fracture stimulationinjectionflow controlhorizontal wellborestimulation technologylong-reach injectormulti-stage fracturing systemwell tractorreport

Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

Jan 21, 2025
971.63 kB
Publicly accessible
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergyutah forgedata processingmachine learninginduced seismicitytechnical reportevent detectionmlartificial intelligenceaireal-timephysics informedrecurrent neural networksborehole seismicseismic datamicroseismicevent catalogmagnitude-frequency distributiongeophysicsegs

Utah FORGE 3-2417: Simulations for Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity

Jan 01, 2023
21.99 MB
Publicly accessible
This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files and results are presented from the perspective of digital acoustic sensing's (DAS) potential to differentiate the t...
Authors
Ward-Baranyay, M. et al Rice University
geothermalenergyforgeutah forgeegsmilfordutahcomsoldfnmatlabsimulationnear-miss fracturedasdistributed acoustic sensingmodelingstrainfogmoregeophysicshydrogeomechanicssub-nanostraincodestimulation

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

May 14, 2021
6.01 MB
Publicly accessible
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...
Authors
Marone, C. et al Pennsylvania State University
geothermalenergymatlabgeophysicsseismiccodeprocessed datamicroseismicityaiartificial intelligencedeep learningmachine learningacousticsacoustic emissionsseismic forcastingseismic predictionfaultfault propertiesshear stresstime to failureexperimentexperimental datalab databiaxial shear experimentbiaxial shear apparatusfriction

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

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature

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
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