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"16A78-32 stimulation seismic data"×
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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: Phase-Picking Based Microseismic Event Catalog April 2024 Stimulation

Feb 19, 2026
1.73 MB
Publicly accessible
This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events were detected and located using a phase-picking workflow that integrates downhole geophones (wells 56 and 78B) and downhole DAS (well 16B). P and S-wave arr...
Authors
Zhu, W. et al University Of Utah
geothermalenergyapril 2024 stimulationforgeutahmicroseismic event locationsutah forgeuniversity of utahseismicaimachine learningdata-driven decisionscommunity safteyinfrastructure protectionproactive risk mitigationimproved safteyimmediate responsestimulationfracingground motionseismic hazardsegsevent catalogmlprocessed datareservoir characterizationhydraulic fracturinggeomechanicsgeophysics

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 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation 2025 Workshop Presentation

Sep 18, 2025
84.04 MB
Publicly accessible
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by Dr. No'am Zach Dvory. This video slide presentation, by the University of Utah, d...
Authors
Dvory, N. University of Utah
geothermalenergyutah forgeegs2025 annual workshopreal-time decision makingmachine learningseismic monitoringstimulation risk managementgeomechanicsseismologypresentationpresentation recordingpresentation slidesreport

Utah FORGE 3-2417: DAS Microseismic Event Records From Circulation Test July 2023

Jul 09, 2025
17.07 GB
Publicly accessible
This dataset contains distributed acoustic sensing (DAS) microseismic event triggers (waveforms) recorded during the 16A-16B circulation tests conducted at the Utah FORGE site in July 2023 as part of the FOGMORE R&D project (Utah FORGE Project 3-2417). Data were acquired using Sil...
Authors
Vera Rodriguez, I. et al Rice University
geothermalenergyutah forgeenhanced geothermal systemsegsdasdistributed acoustic sensingmicroseismiccirculation testfiber optic monitoringsilixa carinasilixa idas v2nanostrain rateseismic dataseg-yjuly 2023raw datatriggeredchannel map

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: Temperature-Dependent Mode-I Fracture Toughness of Granite from SCB Tests Dataset and Methods Report

Feb 23, 2026
617.16 kB
Publicly accessible
This submission includes a methods report and an accompanying Excel dataset documenting temperature-dependent Mode-I fracture toughness (KIC) measurements for Utah FORGE granite obtained using semi-circular bending (SCB) tests in accordance with the ISRM Suggested Method. Testing ...
Authors
Dvory, N. and McLennan, J. University Of Utah
geothermalenergyfracturefracture toughnessforgeutah forgefracture propagationscb/nscbtemperaturelefmfpzegsmodel-ikicsemi-circular bendingscbnscbgranitehigh-temperature testingwell 58-32laboratory testingraw datatechnical reportgeomechanics

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

EGS Collab Experiment 2: Microseismic Monitoring

May 28, 2024
230 TB
Publicly accessible
This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Da...
Authors
Hopp, C. Lawrence Berkeley National Laboratory
geothermalenergymicroseismicwaveformcontinuous seismicstimulationcirculationsurf3caccelerometerhydrophoneborehole arrayegs collabraw datacontinuous waveformbinaryseedobspytechnical reportgeophysicsmicroseismicity

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

Newberry EGS Demonstration: Well 55-29 Stimulation Data

Dec 08, 2012
273.53 MB
Publicly accessible
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
Authors
T., T. AltaRock Energy Inc
geothermalegsdiverter materialmicroseismic monitoringtemperature monitoringgroundwater monitoringnewgengeophysical logsdiverter injectionseismicwell constructiondaily reporttracer injection and groundwater monitoringlithologytemperaturegeochemistrystimulation datapublicationswhpflowstimulationhydraulicwaterseismicitymonitoringmicroseismicitywelllogdrillingreportcataloggeophysicscasing55-29diverterstzim

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: 2019 ARMA Overview Slide Presentation

Aug 17, 2019
10.13 MB
Publicly accessible
This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeamra slidesutah forge presentation2019 amra presentationegsproject overviewoverviewcharacteristicscriteriageologygeologic overviewwell 58-32stratigraphylithologyfracturesfmi logstressinjectionstimulationmonitoringinstrumentationequipmentfailureactivities

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

EGS Collab Experiment 1: Accelerometer orientations

Aug 19, 2020
608.24 kB
Publicly accessible
Document describing the methodology used to determine the accelerometers' three-component orientations at the first EGS Collab testbed using Continuous Active-Source Seismic Monitoring (CASSM) data and hodogram analysis. Original submission: gdr.openei.org/submissions/1166
Authors
Hopp, C. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabmicroseismicsensor orientationaccelerometerorientationsurfsanford underground research facilityhydraulicfracturingexperimentstimulationmeso-scalemesoscalecrystalline rock3d sensorleadsouth dakotasta/lta triggering algorithmmicroseismicitypythongeospatial data3-ccassm datahodogram analysisprincipal component analysispcawellborewell datawell geometrybandpass filtercontinuous active-source seismic monitoringcassmthree-component

EGS Collab Experiment 2: Continuous Active Source Seismic Monitoring (CASSM)

Jan 06, 2025
15.42 GB
Publicly accessible
The dataset contains continuous active-source seismic monitoring (CASSM) data collected during EGS Collab Experiment 2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to investigate enhanced geoth...
Authors
Hopp, C. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabcassmseismicactive-sourcesurfstimulationcrosswellseismic monitoringraw data3caccelerometerthre componentcalibrationtechnical reportborehole arrayshot recordsactive-source monitoringexperiment 2triggeredtriggered recording systemgeophysicsegs

EGS Collab Experiment 1: Baseline Cross-well Seismic

Apr 30, 2018
2.13 GB
Publicly accessible
As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergygeophysicsseismiccross-wellsgysegymodeldataresultsvelocityp-waves-waveelastic modulivisualizationcalculationinversionhydrofractureexperimentsurfsanford underground research facilityegsenhanced geothermal systemcollabboreholebaselinedensityshearbulkyoungsmodulusmodulistimulationhydraulicegs collab

Newberry EGS Demonstration: Stimulating the Existing Fracture Network Report

Mar 10, 2014
10.4 MB
Publicly accessible
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
Authors
Cladouhos, T. et al AltaRock Energy Inc
geothermalegsdiverter materialmicroseismic monitoringtemperature monitoringgroundwater monitoringnewgendemonstrationstimulationhydraulic

Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Apr 18, 2014
9.07 MB
Publicly accessible
This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...
Authors
Templeton, D. et al Lawrence Livermore National Laboratory
geothermalmicroseismicegsfracture creationmappingalgorithmmicroseismicityfracturingfracturenewberry

Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

May 05, 2024
70.06 MB
Publicly accessible
This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Authors
Cladouhos, T. et al AltaRock Energy Inc
geothermalenergynewberryegsdemonstrationvolcanoaltarockoregongeologygeologic modelconceptual resource modelseismicityinduced seismicitymitigationmaximum magnitudein situ stresspermittingstimulationreservoir characterizationdrilling planwell testingrisk mitigationreporting

Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)

Apr 11, 2018
2.24 GB
Publicly accessible
Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Authors
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeutahgeothermal welltest welldrillinggeothermal drillingdrilling datawell testingwell test datafmi logsdsi logsgamma logsporositycaliper logsdaily reportstemperature logspressure logsisolation scannersonic logsmud logsdirectional surveypason logsborehole stresspt reportswell logsmu-esw158-32roosevelt hot springslogdatadeppwellcaliperegswell logtestingmilfordwell dataresourcecharacterizationtemperaturepressuredeep wellpason dataeowrend of well report

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: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test

Mar 31, 2025
57.32 MB
Publicly accessible
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Authors
Sausan, S. et al Stanford University
geothermalenergychloridechemical toolwirelineutah forgeisegeothermal loggingchloride sensorion-selective electrodeinflow detection58-3216b78-32chemical logging toolpoohpull out of holerihrun in holehigh-temperature toolcirculation testpressure-temperature-depthfield logging dataelectrochemicalchloride concentrationfracture characterizationreservoir charecterizationraw dataprocessed datatechnical reportvisualizations

Utah FORGE: Well 78-32 Capacity Test

Jun 20, 2019
12.52 kB
Publicly accessible
This dataset includes an Excel spreadsheet with Utah FORGE Phase 2c Well 78-32 capacity data. It also includes a readme file discussing the data which also includes the well coordinates.
Authors
Kirby, S. and Gall, R. Energy and Geoscience Institute at the University of Utah
geothermalenergywell 78-32 capacityutah forgeutah geothermalsystems anyalysisforgeutahcapacity testwell 78-32flowdrawdowndtwegsmilfordroosevelt hot springsmodelfielddatawell testcapacityaquifermodellingwell78-32phase 2clocation

Directional Cooling-Induced Fracturing Westerly Granite Test Results

Dec 18, 2020
72.48 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions ...
Authors
Nakagawa, S. Lawrence Berkeley National Laboratory
geothermalthermal crackingacoustic emissionstemperature changeslaboratory experimentwesterly granitegranitemoment tensorfractureseismicgeophysicsliquid nitrogenthermaltemperaturestimulationdirectional coolinginduced fracturingdirectional cooling-induced fracturingwellborestressvelocitytomographymicrocracking
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