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Utah FORGE, UT×

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report

Dec 22, 2025
2.43 MB
Publicly accessible
This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...
Authors
Bunger, A. et al University of Pittsburgh
geothermalenergyin-situ stress estimationutah forgewave velocitythermo-poro-elastic modelingmachine learningegsnear-wellbore stressfar-field principal stressstress anisotropyphysics-based modelingfinite element modelingsonic logtuvtechnical reportreservoir characterization

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

Sep 17, 2024
52.7 MB
Publicly accessible
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Authors
Williams, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgemachine learningmulti frequencystimulation-induced seismicityseismicityseismicity predictorstimulationpredictive systemsdeep learningdlmagnitude-frequency distributionseismicegsvideopresentation

Utah FORGE 3-2535: Final Report on Joint Electromagnetic, Seismic, and InSAR Imaging of Fracture Growth During EGS Resource Development

May 30, 2025
2 MB
Publicly accessible
This dataset contains the final technical report for the project Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development, carried out from 2021 to 2025 by Lawrence Berkeley Natio...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsseismicelectromageneticgeodeticdistributed fiber-optic sensingdata acquisitiondata processingdata interpretationtechnical reportinsarfracture growthfracture propertiesgeophysicsgeomechanics

Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

Aug 30, 2024
973.4 kB
Publicly accessible
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah forgein-situ stress estimationphysics-based modelingfinite element methodmachine learning modelthermo-poro-mechanical effectwell loggingvelocity-to-stress relationshipmachine learningfemreporttechnical report16a78-32mlegs2-2439v2principal stressstress predictionfar-fieldpre-cooling

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2025 Workshop Presentation

Sep 18, 2025
70.48 MB
Publicly accessible
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to esti...
Authors
Williams, J. GTC Analytics
geothermalenergyutah forgeegs2025 annual workshopinduced seismicitymachine learningrecurrent neural networksprobabilistic modelingseismic response predictionmagnitude-frequency analysisphysics-informed aipresentationpresentation recordingpresentation slidesreport

Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity October, 2025

Oct 13, 2025
1.62 MB
Publicly accessible
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included t...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergydeep learninginduced seismicitypredictivemagnitudeartificial intelligenceaimachine learningmldlphysics-basedmodelingutah forgeegstechnical reportseismic datainjection parametersgeophysical modelsprobabilistic

Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025

Jun 05, 2025
20.34 MB
Publicly accessible
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah16b78-32in-situ stressultrasonic velocityutah forgeegs16bmachine learningtrue triaxial testingsonic logsstress predictionfar-field stressthermo-poro-mechanicalmodelingdeep learningfinite element modelgeothermal reservoirstress profilingstress anisotropytechnical report

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 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2024 Annual Workshop Presentation

Sep 02, 2024
36.97 MB
Publicly accessible
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Authors
Ghassemi, A. and Jeffery, R. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgefracfracingstimulationwell stimulationmulti-fracproppingself-proppinghydraulic fracturesnatural fracturesmulti-stage fracturingegsvideopresentation

Utah FORGE 5-2419: Final Report and Presentation on Seismicity Permeability Relationships Probed via Nonlinear Acoustic Imaging

Sep 30, 2025
254.88 MB
Publicly accessible
This submission contains the final technical report and closeout presentation for Utah FORGE Project 5-2419, which investigates the coupled evolution of permeability and induced seismicity in enhanced geothermal systems using laboratory experiments, field observations, and nonline...
Authors
Elsworth, D. Pennsylvania State University
geothermalenergyutah forgeegspermeabilityinduced seismicitylaboratory experimentsfield observationsnonlinear acoustic imagingfault reactivationreservoir rockmicroearthquakestimulationphysics informed modelingmachine learningseismic momentstress statepermeability creationseismic hazardtechnical reportgeomechanicsgeophysicsmicroseismicity

Utah FORGE: GeoThermOPTIMAL Presentation Video

Dec 12, 2022
20.69 MB
Publicly accessible
This is a project description video by Dr. William W. Fleckenstein related to their "Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores" R&D project at Utah FORGE which is linked...
Authors
Fleckenstein, W. Colorado School of Mines
geothermalenergyutah forgeforgemulti-stage fracturingwellbore tractorzonal isolationhorizontal drillingfracturingegsfracingwell stimulationvideoutahdrillingtechnologywellbore technologiessleevesmp4stimulation

QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learningdecision supporttraffic light

Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

Oct 05, 2022
4.59 MB
Publicly accessible
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Authors
Fleckenstein, W. et al Colorado School of Mines
geothermalenergycompletionsleevestractorheat modelegsutah forgestimulationfracturingwellbore technologieswellbore technologyheat exchangergeothermoptimalfracoptimal

Utah FORGE 1-2551: Final Report and Presentation on Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

Jul 08, 2025
143.48 MB
Publicly accessible
This dataset contains the final technical report for the CSM project, conducted by the Colorado School of Mines and project partners to address materials and wellbore challenges in high-temperature geothermal environments. The report documents research activities carried out to de...
Authors
Fleckenstein, W. Colorado School of Mines
geothermalenergyutah forgeegsfrac sleevesseal dragcollet test fixturessleeve actuationeconomic modeldifferential pressuretechnical reportwellbore isolationmultistage fracturestimulation technologyflow controlheat recovery

Utah FORGE 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2025 Workshop Presentation

Sep 18, 2025
80.28 MB
Publicly accessible
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Authors
Ghassemi, A. The University of Oklahoma
geothermalenergyutah forgeegs2025 annual workshopmulti-frac stimulationreservoir stimulationconductivity enhancementself-propping fracturesheat exchangepresentationpresentation recordingpresentation slidesreport

Utah FORGE 1-2551: Development of a Multi-Stage Fracturing System and Wellbore Tractor 2024 Annual Workshop Presentation

Jan 13, 1970
44.1 MB
Publicly accessible
This is a presentation on the Development of a Multi-Stage Fracturing System and Wellbore Tractor by Colorado School of Mines, presented by William Fleckenstein. This video describes (1) the development and use of a low-cost and rapid multistage fracture stimulation technology wit...
Authors
Fleckenstein, W. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgecolorado school of minesfracture stimulationwell stimulationfracingmultistate fracture stimulationflow controlheat recovery improvementpacker eliminationegswelbore tractor

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 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

Sep 04, 2024
60.41 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...
Authors
Bunger, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgein-situ stressmachine learningmachine learning for in-situ stresssonic logsmini-fracrock mechanicsrock stressstressstress estimationvideopresentation

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress 2025 Workshop Presentation

Sep 18, 2025
70.04 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by University of Pittsburgh, presented by Dr. Andrew Bunger. The project's objective was to characterize stress i...
Authors
Bunger, A. University of Pittsburgh
geothermalenergyutah forgeegsin-situ stresscharacterizationstress modelinglaboratory testingmachine learningsonic loganalysismini-frac testing2025 annual workshoppresentationpresentation recordingpresentation slidesreport

Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement 2023 Annual Workshop Presentation

Sep 08, 2023
67.35 MB
Publicly accessible
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...
Authors
Kelley, M. and Bunger, A. Battelle Memorial Institute
geothermalenergyannual workshop2023utah forgeegsmachine learningin-situ stressstress characterizationmini-fracrock-core stress estimationsonic-log datamodelinglaboratory experimentsdeformation rate analysisboundary element methodsleeve frac packerfar-fieldnear-field

Utah FORGE 5-2557: Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes 2023 Annual Workshop Presentation

Sep 08, 2023
64.42 MB
Publicly accessible
This is a presentation on the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) Processes for Enhanced Geothermal Systems project by Purdue University, presented by Distinguished Professor of Physics & Astronomy, Laura J. Pyrak...
Authors
Pyrak-Nolte, L. Purdue University
geothermalenergyannual workshop2023utah forgeegsrupture alogorithmwave motion algorithmmachine learninggeophysicsfalconthmcufalconsimulatorjoint inversioninjectionfracturingshearingpermeability evolutionpore pressure diffusiondynamic crack evolutionslipwave generationpresentation

Utah FORGE 5-2557: Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes 2025 Workshop Presentation

Sep 18, 2025
106.89 MB
Publicly accessible
This is a presentation on the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) Processes for Enhanced Geothermal Systems project by Purdue University, presented by Distinguished Professor of Physics & Astronomy, Dr. Laura J. P...
Authors
Pyrak-Nolte, L. Purdue University
geothermalenergyutah forgeegs2025 annual workshopfracture mechanicsthmcfluid-rock interactionsrate-and-statefrictioncoulomb failureseismicaseismicgeomechanicspresentationpresentation recordingpresentation slidesreport

Utah FORGE 6-3712: Curated and Fused 2022 and 2024 Stimulation Injection Datasets and Processing Report February 2026

Feb 25, 2026
155 MB
Publicly accessible
This submission contains curated injection parameter datasets from the 2022 and 2024 stimulation experiments conducted at the Utah FORGE site, along with the report documenting the data processing workflow. The datasets were developed as part of Project 6-3712: Probabilistic Estim...
Authors
Williams, J. et al Global Technology Connection, Inc.
geothermalenergyinduced seismicityinjection parametersdatasetstimulationutah forgeegsstimulation experimentinjection datatreating pressureslurry rateclean ratecumulative injected volumeinflow rateflowbacktime-series dataprocessed datahydraulic stimulationfeomechanics

Utah FORGE 5-2615: Laboratory Data for Insights on Hydraulic Fracture Closure and Stress Measurement

Jun 12, 2024
4.82 MB
Publicly accessible
This dataset includes data from injection/fall-off experiments conducted in controlled laboratory settings. The aim is to investigate the physics governing fracture closure and the associated stress measurements during hydraulic fracturing. These time series data include flow rat...
Authors
Ye, Z. and Ghassemi, A. University of Oklahoma
hydraulic fracturinginjection/fall-off testsin-situ stress measurementsfracture closuregeothermalegsutah forgeminifracstressflow ratepressurevolumelaboratoryenergyinjectionfall-offwater injectionoil injectionsierra white granitecrab orchard sandstonescioto sandstonekismetgeomechanics

Utah FORGE 1-2410: Development of a Smart Completion and Stimulation Solution 2024 Annual Workshop Presentation

Sep 15, 2024
60.73 MB
Publicly accessible
This is a presentation on the Development of a Smart Completion & Stimulation Solution by Welltec, presented by Ricardo Vasques. This video slide presentation discusses the development of an (1) annular isolation system, (2) a stimulation isolation system, and (3) a multi open-cl...
Authors
Esquitin, Y. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewelltecuniversity of oklahomaannular isolation systemstimulation isolation systemopen-close flow systemegsvideopresentation
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