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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

Utah FORGE 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept in Utah FORGE EGS 2026 Workshop Presentation

Sep 30, 2026
71.47 MB
Curated
This is a presentation on Design and Implementation of a Novel Multi-Frac Stimulation Concept in Utah FORGE EGS by the University of Oklahoma, presented by Dr. Ahmad Ghassemi. The project is evaluating a novel multi-fracture stimulation approach designed to improve reservoir condu...
Authors
Ghassemi, A. and Jeffrey, R. University of Oklahoma
geothermalenergyutah forgeegsmulti-fracmultistage stimulationreservoir stimulationwell-to-well conductivitystimulationgeomechanics16b16aabrasive jettingfracture permeability

Utah FORGE 8-3637: Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency 2026 Workshop Presentation

Sep 30, 2026
38.85 MB
Curated
This is a presentation on Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency by the Texas Tech University, presented by Smith Leggett. The project is developing integrated fiber-optic sensing, chemical tracer, and numerical modeling approaches to characterize fractu...
Authors
Leggett, S. Texas Tech University
geothermalenergyutah forgeegsfiber-optictracernumerical modelingfracture flowcharacterizationgeothermal reservoirresource developmentpresentationreport2026 annual workshopheat sweepdasdts16a

Utah FORGE 9-3635: High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants 2026 Workshop Presentation

Sep 30, 2026
73.87 MB
Curated
This is a presentation on High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants by Stevens Institute of Technology, presented by Dr. Cheng Chen. The project is evaluating the performance of electric...
Authors
Chen, C. et al Stevens Institute of Technology
geothermalenergyutah forgeegstemperature testingproppantselectromagnetic fracture mappingfracture mappingelectrically-conductive proppantshydraulic stimulationsimulationstimulationhigh temperature testhigh-temperature proppants

EGS Collab Experiment 2: Co-Injection Sewer Camera Survey Videos

May 20, 2025
38.69 GB
Publicly accessible
On April 21, 2022, sewer camera surveys were conducted in boreholes TN and TL as part of Experiment 2 of the EGS Collab project. These surveys were performed during fluid injection into three zones in borehole TC to identify the depths of active fracture intersections. The goal wa...
Authors
Hopp, C. et al Lawrence Berkeley National Laboratory
geothermalenergysewer camegs collabfractureflowegsfracture characterizationsewer camera surveyborehole videovideosdownhole imaginginjectionfracture inflowtntltcexperiment 2injection zones

Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation

Sep 18, 2025
86.94 MB
Publicly accessible
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Nori Nakata. This vid...
Authors
Nakata, N. Lawrence Berkeley National Laboratory
geothermalenergyutah forge2025 annual workshopegsinduced seismicitytraffic light systemmachine learningseismicityforecastingground motion predictiongenerative aireservoir engineeringhigh-pressure experimentspresentationpresentation slidespresentation recordingreport

EGS-Collab Experiment 1: Time-lapse ERT Data and E4D Inversion Files for 10-24-2018 through 11-07-2018 Flow Test

Jul 30, 2021
368.16 MB
Publicly accessible
This data submission includes the raw time-lapse ERT (electrical resistivity tomography) monitoring data, flow system data, operator logs, E4D (https://e4d.pnnl.gov) inversion files, and metadata necessary to reproduce the 4D ERT inversion for the Oct. 24 through Nov. 7 2018 post-...
Authors
Johnson, T. Pacific Northwest National Laboratory
geothermalenergyimagingstressresistivitytomography4dinjectionelectricalertflow testraw datadatae4dinversionvideoegssouth dakota

Utah FORGE 8-3617: Integrating Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network in EGS Reservoirs 2026 Workshop Presentation

Sep 30, 2026
89.45 MB
Curated
This is a presentation on Integrating Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network in EGS Reservoirs by California State University Long Beach, presented by Prof. Matthew Becker. The project is evaluating huff-puff tracer testing, ...
Authors
Becker, M. California State University Long Beach
geothermalenergyutah forgeegspvttracertracer testgeomechanicalfracture networksgeothermal reservoirthmcmultiphysics modelshuff puffdts16b78-32

Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation

Sep 30, 2026
63.77 MB
Curated
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...
Authors
Nakata, N. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicity forecastingpresentationegsmachine learninginduced seismicityreservoir engineeringtraffic lightgeothermal reservoirreportreal-timeadaptive forecastrock deformationfracturerisk-informed2026 annual workshopdecision makingdecision support

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

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

EGS Collab Experiment 1: 4850L Downhole Camera Surveys During Injection

May 25, 2018
784.41 MB
Publicly accessible
This package includes data and footage from two rounds of downhole camera surveys performed at the Sanford Underground Research Facility (SURF) on the 4850 level. The exercise was performed once on 25 May 2018 and once on 21 December 2018. On May 25th, the first round was done dur...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsdownhole cameraboreholestressdatapressureproduction wellflowinjectionjetsjetting pointfracturewellboreinjection ratefoliationdepthwell datainjection teste1-pdrillinggeovisiondual-scan micro video camera

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode
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