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Utah FORGE, UT×

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: Downhole Geophone Seismic Data (August 2022)

Aug 25, 2022
Size unavailable
Publicly accessible
This is a link to downhole geophone data collected by Schlumberger. These data were collected in the Utah FORGE deep seismic monitoring wells 58-32 and 56-32. The format is a standard SEGY and the units are bits. To convert to acceleration (m/s2) multiply by 2.333 x 10-7. Use one ...
Authors
Pankow, K. and Schlumberger, S. University of Utah Seismograph Stations
geothermalenergyutah forgeseismic dataseismicitygeophone datadeep well geophones58-3256-32schlumberger datageophonedowndownhole geophoneschlumberger geophonegeophysicsseismicmonitoringdownholeforgeegsdeep

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: Wells 16A(78)-32 and 16B(78)-32 Extended Circulation Test Data August and September 2024

Oct 11, 2024
15.86 MB
Publicly accessible
The dataset includes data collected during an extended circulation test conducted at the Utah FORGE site between August 8 and September 5, 2024. It provides uncorrected, raw digital data from the test, along with calibration information and a final report detailing the test proced...
Authors
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16b78-32well 16a78-3216a16bcirculation testcirculationextended circulationextended circulation testraw dataegsreportpasoncalibration datacalibrationtemperaturepressureflowtest proceduresdata correctionsfield calibration

Utah FORGE: Well 16B(78)-32 Distributed Temperature Sensing Data from April and May 2024

Jul 08, 2024
5.17 GB
Publicly accessible
This dataset includes Neubrex Energy Services fiber optic distributed temperature sensing (DTS) data from well 16B(78)-32 during stimulation and circulation, including interaction with well 16A(78)-32, during April and May 2024. The DTS data are stored in HDF5 file format and are ...
Authors
Jurick, D. and Guzik, A. Energy and Geoscience Institute at the University of Utah
geothermalenergy16b78-32stimulationfracingcirculation testtemperature datafiberoptic temperatureneubrexutah forgefiber opticfiber optic distributed temperature sensingdistributed temperature sensingdtsegshdf5

Utah FORGE: Fault Shear Reactivation Experimental Data for Fluid Injection-Rate Controls on Seismic Moment

Nov 07, 2023
12.98 MB
Publicly accessible
Included are experimental data recorded from shear experiments that specifically explore the link between fluid-injection rate and seismic moment resulting from shear reactivation of laboratory faults. Raw mechanical data from three experiments are included alongside corresponding...
Authors
Roseboom, M. et al Pennsylvania State University
geothermalenergyinduced seismicityinjection rateegsseismic momentgeomechanicsgeophysicsutah forgeshearmatlabshear experimentsraw datacodecore experimenttemcoconfining pressurepore pressureaxial pressureshear displacementfracturealong-fault pressureconstant shear stress

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: Stress Ratio Dependence of Ultrasonic Anisotropy in Well 16B(78)-32 Core

Apr 07, 2025
22.48 MB
Publicly accessible
This dataset contains high-pressure ultrasonic measurements on a foliated granitoid core from Well 16B(78)-32 at the Utah FORGE site. Ultrasonic P-waves and two orthogonal S-waves were measured concurrently parallel and perpendicular to the rock fabric. All measurements were mad...
Authors
Lisabeth, H. and Savage, H. Lawrence Berkeley National Laboratory
geothermalenergygeomechanicsanisotropyutah forgeegsultrasonic velocityseismic anisotropystress ratiohigh-pressurep-waves-wavethomsen parametersmicrofracturesfoliated granitoidconfining pressureucsccore analysisraw dataprocessed datavisualizationsrock mechanicsgeophysics

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

Sep 28, 2023
3.69 MB
Publicly accessible
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Authors
Mustafa, A. et al Battelle Memorial Institute
geothermalenergyutahforgegeomechanicsmachine learningffnnartificial neural networkannin-situ stressstress characterizationlabtuvtriaxialstressfeed forward artificial neural networkmlegsmodellingexploratory data analysiseda

Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

Oct 31, 2022
59.49 MB
Publicly accessible
This dataset contains laboratory measurements of poroelastic properties of granite samples from Utah FORGE wells 58-32 and 78-32. The data include permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient....
Authors
Ghassemi, A. and Zhou, X. University of Oklahoma
geothermalenergyporoelasticityutah forgeeffective stressbulk modulusgrain modulusporoelastic expansion coefficientpermeabilityutah58-3278-32pore pressureconfining pressureskemtpon coefficientgeologyprocessed data

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: Well 16A(78)-32 Core-Flooding Experiment Results

Apr 04, 2024
5.56 MB
Publicly accessible
This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...
Authors
Smith, M. et al Lawrence Livermore National Laboratory
geothermalenergycorefloodutah forgecore testinggeochemistrypermeabilityegscore-flood experimenthydraulic fractureconfining pressureeffluent chemistrybrine chemistrypressure measurementsflowratecore sample16a78-32fluidsphtemperaturefracture evolutionconcentrationprocessed data

Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra

Mar 17, 2026
15.25 GB
Publicly accessible
This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-Febru...
Authors
Chang, H. et al Lamont Doherty Earth Observatory
geothermalenergydasfiber-opticattenuationmicroseismicityp-wavesource parametersstress dropcapeforgeqspectraseismicegscape modernutah forgedistributed acoustic sensingp-wave attenuationquality factorbrune modelcorner frequencyseismic momentmoment magnitudewell logsdownhole measurementsraw dataprocessed datageomechanicsgeophysics

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 3-2417: Meteorological Data During 2023 Completion/Circulation

Jun 10, 2024
2.4 MB
Publicly accessible
This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the completion/cementing of well 16B(78)-32 and the initial 2023 circulation test, largely occurring in June/July/August of 2023. This information may p...
Authors
Ajo-Franklin, J. Rice University
geothermalenergyutahutah forgeegsenhanced geothermalmeteorological datameteorologywell 78-16circulationcompletiontemperaturewindhumidityprecipitationtime seriesraw datacalibrationinstrument calibration78-16

Utah FORGE: UGS Interactive Geoscience Map

Jan 01, 2021
Size unavailable
Publicly accessible
This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...
Authors
Hill, J. Utah Geological Survey
geothermalenergyutah forgeinteractive mapgeology mapgravity maptemperature mapseismicity mapgroundwater mapugs mapsutah geological survey mapsutah forge mapsmapgeologyseismiclstgroundwaterhydrologyugsutahforgeinteractivegravityprocessed datageospatial datawater table depthgroundwater chemistrywellfaultwell temperaturetemperaturebedrockbedrock surfacebeddingfoliationcontactgeographycharcterizationegsmilfordroosevelt hot springsenhance geothermal systemengineered geothermal system

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: Triaxial Direct Shear Results February 2025

Feb 28, 2025
1.18 GB
Publicly accessible
This dataset contains results from nine triaxial direct shear tests conducted by Los Alamos National Laboratory on samples from FORGE Well 16A(78)-32. The primary objectives of this work were to determine the shear strength in both intact and residual states, evaluate dilation aga...
Authors
Frash, L. et al Los Alamos National Laboratory
geothermalenergyutah forgetriaxial core testingtriaxial shear testingtriaxial testinglos alamoslanllawrence livermorecore testingcore fracture testinginjectiongeochemistryegsshear strengthtriaxialpermeabilityeffluent chemistrysurface roughnessprofilometryslickensidesdilationfracture compressibilityhigh temperaturetriaxial direct shearrock mechanicsstress-strain behaviorhydromechanical datalaboratory testinggeomechanicswell 16a78-32rock deformation

Utah FORGE 3-2417: Meteorological Data During 2024 Stimulation

May 09, 2024
2.08 MB
Publicly accessible
This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the 16A/16B stimulation activities, largely March/April/May of 2024. This information may prove useful for understanding seismic and other instrumentati...
Authors
Ajo-Franklin, J. Rice University
geothermalutah forgeweather datatime seriesegsstimulationmeterology16a16btemperaturewindprecipitationhumiditydew pointatmospheric pressureinstrumentation responsecalibrationraw data

Utah FORGE: Great Basin Groundwater Geochemical Database

Jan 01, 2005
Size unavailable
Publicly accessible
A database of groundwater chemistry in the Great Basin, USA. The data is located at the Nevada Bureau of Mines and Geology. This contains data relevant to the Utah FORGE site.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalwater chemistryforgeutah forgegreat basingreat basin water chemistryegsgeochemistryground watergwsamplingqualitywatergroudwaterutahwell chemistrygroundwatermilfordroosevelt hot springs

Cape EGS: Gold 4-PB: Mudlog, Mass Spectrometry, Triple Combo, and Dipole Sonic-Derived Geomechanical data

Apr 30, 2025
30.1 MB
Awaiting release
This dataset includes geological and geophysical well logs from the Gold 4-PB well at the Cape EGS site near Utah FORGE, collected between December 2024 and January 2025. The dataset covers lithological, geochemical, and petrophysical data acquired during and after drilling. Data ...
Authors
Dadi, S. and Adams, T. Fervo Energy
geothermalenergycape egsutah forgeegsgold-4-pbgoldmass spectrometrymud logtriple combodipole sonicgeomechanicspetrophysicsresistivityporositywell logsanisotropygas analysislasraw data

Utah FORGE: Updated Discrete Fracture Network Model 2025

Jul 24, 2025
3.3 GB
Publicly accessible
The Utah FORGE 2025 v1 DFN (fracture model) includes 131 discrete planar fractures which were identified using combined site data sets to capture flow pathways between wells 16A(78)-32 and 16B(78)-32 following stimulation activities in 2022 and 2024. It also includes stochastic fr...
Authors
Finnila, A. WSP
geothermalenergyutah forgedfndiscrete fracture networkfracturesfracture modellingfracture geometrywell 16a78-32well 16b78-32fracturefracture positionfracture sizeprocessed datapositionorientationsizeupdateplanar fracturesegsreservoir characterization

Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

Apr 28, 2025
1.29 MB
Publicly accessible
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsdistributed strain sensingdssfiber-optic sensingmicroseismicityfracture stimulationgeodetic monitoringinsarsubsurface deformationhydraulic fracturingseismicityfracture modelingreservoir characterizationtechnical reportprocessed dataapril 2024stimulation

Utah FORGE: Seismograph Station Information and Data

Jan 26, 2021
Size unavailable
Publicly accessible
This link leads to the University of Utah Seismograph Stations website Utah FORGE seismograph stations page. This page contains a location map and description of the Utah FORGE seismograph stations and other related information. Additionally, data can be downloaded for each statio...
Authors
Pankow, K. University of Utah Seismograph Stations
geothermalforgeutah forgewell 68-32 seismic datautah forge seismograph stationsuniversity of utah seismograph stationsutah seismograph stationsuniversity of utahegsmilfordutahroosevelt hot springsseismographstationsseismicboreholewebicordergeophysics

Utah FORGE: Borehole PSS Tools Status Report

Dec 29, 2022
6.52 MB
Publicly accessible
This report summarizes the data quality from the Utah FORGE borehole passive seismic sensors (PSS) tools at well sites 58-32 and 78B-32. Two level Avalon tools were installed on 09-28-2022 and 09-29-2022 by representatives from Avalon, Schlumberger, University of Utah, and Instrum...
Authors
Stachnik, J. Instrumental Software Technologies, Inc.
geothermalenergyutah forgeseismic sensorsseismicseismicityborehole seismic sensorsborehole passive seismic sensorspsspassive seismic sensorsseismic sensing tools
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