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"principal component analysis"×
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 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: Green's Functions and Station Response Files for Moment Tensor Analysis

Oct 07, 2026
5.54 GB
In curation
This submission includes data accompanying the paper titled, "Resolution of non-DC components of MTs induced during EGS stimulations at Utah FORGE and their implications." The resources includes the Green's Functions used to calculate the Moment Tensors published in Niemz et al. (...
Authors
Niemz, P. and Petersen, G. University Of Utah
geothermalenergyutah forgemoment tensorimpulse responsestimulationegsseismic

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 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Dec 13, 2022
201.16 MB
Publicly accessible
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Authors
Bunger, A. et al Battelle Memorial Institute
geothermalenergyutah forgein-situ stresslaboratorymodelingfield measurementtuvtriaxial ultrasonic velocitydeformation rate analysisdraweight of evidencewoeegsstress testcharacterizationwell datageophysicsforge16a78-32

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

Utah FORGE: DAS and Downhole Geophone Data from the August-September 2024 Circulation Test

May 01, 2026
Size unavailable
In progress
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the August-September 2024 circulation period at the Utah FORGE site. The DAS data were acquired from well 16B(78)-32 as continuous H5 records during circulation operations. Embedde...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdistributed acoustic sensingdasdownhole geophone3c geophonethree-component geophonecirculation testh5seg-2datstrain rate16b78-3256-3278b-32seismic datawell trajectoriesgeophysicsraw dataprocessed data

Utah FORGE 3-2535: Report on Borehole EM Data Collection and Imaging with the VEMP Field System

Sep 05, 2024
7.81 MB
Publicly accessible
This report outlines electromagnetic field measurements that were made after stimulation at Utah FORGE in May of 2024. The measurements involved lowering an electrode to ~3500' in well 16A to energize the steel casing as part of the electric source, with the return electrode locat...
Authors
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
geothermalenergyelectromagneticresistivityutah forgeegs16aemvempgeophysicsborehole loggingcross-boreholemagnetic inductionthree componentstimulationreportdata collectiondata processing

Cape EGS: Frisco Pad Flow Test Microseismic Monitoring Catalog

Aug 06, 2025
837.65 kB
Awaiting release
This dataset contains a microseismic event catalog acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Sept 5th 2024, near the Utah FORGE geothermal site. The microseismic events are located using data collected from various Utah FORGE...
Authors
Dadi, S. et al Fervo Energy
geothermalenergyegsenhanced geothermal systemmicroseismicmicroseismic monitoringinduced seismicitycatalogevent catalogfervofriscofrisco padflow testutah forgeevent locationsdasdistributed acoustic sensingfiber-optic sensinggeophonethree-component geophonedelano 1-obforge 16b78-3256-3278b-32origin timeevent depth

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 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State 2024 Annual Workshop Presentation

Aug 28, 2024
83.22 MB
Publicly accessible
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video discusses how magnitude and orientation of natural in-situ principal stresses at dept...
Authors
Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgein-situ stressreservoir stress stateuniversity of oklahomadfitwellbore stressnormal-strike-slip faultgeomechanicscore testingvideopresentationegs

Utah FORGE: 2024 Discrete Fracture Network Model Data

Sep 08, 2024
1.4 GB
Publicly accessible
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Authors
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture modellingfracturesstochastic fracturestensile fracturesdiscrete fracture network modelegsplanar fracturespermeabilityporositycompressibilitystoragemeqhydraulic stimulationmodelmodelingprocessed data

Utah FORGE: Focal Mechanism Catalog from Stage 3 of the April 2022 Stimulation Test

Sep 15, 2025
107.98 kB
Publicly accessible
This submission includes focal-mechanism solutions derived from the Utah FORGE April 2022 Stage-3 stimulation. Waveforms were extracted around each event (short windows bracketing origin times) from the downhole three-component arrays in wells 58-32, 78-32, and 56-32 and the surfa...
Authors
Mohammadi, A. et al Texas A and M University
geothermalenergyforgeutah forgeegsmilfordutahmagnitudestage 3hydraulic stimulationstrikedipkagan anglemoment-tensor inversionmtfitbayesian inversiongeophysicsgeophysical inversionfocal-mechanismsevent catalogdeep-learningamplitude ratios

Utah FORGE 10-3627: Thermo Re-Settable Straddle System 2025 Workshop Presentation

Sep 18, 2025
335.43 MB
Publicly accessible
This is a presentation on Thermo Re-Settable Straddle System by PetroQuip Energy Services, presented by Robert Coon. This video slide presentation describes the development of a resettable straddle tool with multiple packers and injection ports designed to test multiple open-hole ...
Authors
Coon, R. PetroQuip Energy Services
geothermalenergyutah forgeegs2025 annual workshopstraddle systemresettable straddle toolpackersinjection portshigh-temperature toolshigh-pressure testingsealing technologytool developmentpresentationpresentation slidespresentation recordingreport

Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

Nov 06, 2024
136.79 GB
Awaiting release
This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...
Authors
Dadi, S. and Kanu, O. Fervo Energy
geothermalenergycape egsutah forgemicroseismicfriscodasdistributed acoustic sensing3cthree componentgeophone16bsta/ltasegyflow testegsmilfordutahmicroseismic eventevent detectiontestingdevelopmentreservoir engineering

Utah FORGE: Groundwater Data

Jul 20, 2016
621.85 kB
Publicly accessible
This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalmilfordutahegsforgegroundwaterdrawdownwellsupplytdsconcentrationgeochemistrywellsconcentrationsmodelaquifertesttransducerdataflow ratescenariowater tablemodelledpredictedpotentialgeospatial dataarcgisgisshapefileshape fileutah forgelocationwell locationreservoirsupply wellroosevelt hot springsresourcecharacterizationwell data

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

Jun 19, 2023
2.3 MB
Publicly accessible
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergymachine learningin-situ stressstress characterizationutah forgegeophysicsseismictriaxialstress predictionartificial neural networkmodelfeed forward artificial neural network

Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs

Apr 30, 2024
26.17 MB
Publicly accessible
This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geo...
Authors
Dyer, B. et al University of Utah Seismograph Stations
geothermalenergyseismic dataseismicgeo energy suissegeswell stimulationfracfracingstimulationwell 16a78-32well 16b78-32utah forgeseismic catalogmicroseismic16a16begsdistributed acoustic sensingdasprocessed datareal timedelano-13cgeophonehydraulic injection

Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

Dec 01, 2022
3.23 MB
Publicly accessible
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Authors
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsforgemodelingresistivity modelremote sensingwell characterizationwell 16awell 16b

Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Oct 02, 2023
7.83 GB
Publicly accessible
This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...
Authors
Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergydfnfracturesutah forgeegs fracture modelwspforgeegslarge upscaled dfnroosevelt hot springswell 16a78-32reservoir engineeringfracmanengineered geothermal systemsstimulationmodellingpermeabilityporosityreservoir modelingdiscrete fracture networkreservoir propertiesfracture modeling

Utah FORGE: Well 16A(78)-32 Stage 1 Pressure Falloff Analysis

Aug 04, 2022
1.16 MB
Publicly accessible
This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic...
Authors
Kazemi, H. et al Colorado School of Mines
geothermalenergyutah forgemulti-ratestep-down ratemicro-fracturesmacro-fracturesfracturetracerflowbacktracer flowbackporoelastic propertiesstimulationformation stimulationmicro fracturesmacro fracturespermeabilitytestreportpressure falloffforgeutah

Utah FORGE: Well 16A(78)-32 Core Analysis Results

Sep 22, 2023
879.37 MB
Publicly accessible
This dataset features petrographic, X-Ray Diffraction (XRD), and Scanning Electron Microscopy Analyses of core samples from well 16A(78)-32, which serves as the injection well for the Utah FORGE Enhanced Geothermal System (EGS) project. In addition to an overview of the analysis,...
Authors
Jones, C. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgecore analysisxrdx-ray diffractionsemscanning electron microscopebackscatter electronenergy dispersive spectroscopyedsbsecoredrill coredrill core analysispetrographyegsphotomicrographthin sectiongeologyveiningalterationmicrostructureswell 16a78-32well 16a78-32 core analysis

Utah FORGE: Well 16A(78)-32 and 16B(78)-32 Stimulation Production Logging Tests

Apr 27, 2024
2.51 MB
Publicly accessible
These are production logging tests (PLT) results from Halliburton collected during the nine hour circulation test performed at Utah FORGE on April 27th, 2024. The circulation test involved injecting into well 16A(78)-32 and producing out of well 16B(78)-32) and was carried out af...
Authors
Haroun, F. Energy and Geoscience Institute at the University of Utah
geothermalenergypltproduction logging testwell 16a78-32well 16b78-3216a16bcirculationstimulation productionstimulationutah forgefracingegsflowcirculation testpressuretemperatureline speedraw dataprocessed datawell logtechnical report

Utah FORGE: Well 16B(78)-32 Drill Core Fracture Analysis Images and Data

Jan 29, 2025
57.25 MB
Publicly accessible
This dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientati...
Authors
Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16b78-32well 16b78-32 core16b78-3216b78-32 corecoredrilling corecore fracture analysiswell 16b78-32 core fracture analysisdrill core fracture analysisegsdrilling core datafracture stagescore imagesplanar featuresfeature morphologyfmicrystalline rockcore measurementsfracture characterizationstimulationimaging
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