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Utah FORGE: Deep Wells Water and Gas Sampling with Analyses by ThermoChem (October, 2022)

Oct 26, 2022
2.22 MB
Publicly accessible
This data includes a document that describes the effort to collect and analyze water and gas samples from deep Utah FORGE wells 16A(78)-32, 58-32, 56-32 and 78B-32 along with additional pdf files showing ThermoChem's analyses attached as an appendix.
Authors
Joness, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewater and gas chemistryutah forge water and gas geochemistrygas chemistryutah forge gas chemistrywater chemistryutah forge water chemistrywell 16a78-32well 58-32well 56-32well 78b-32well datagroundwater and hydrologyprocessed dataforgeegschemistryfluidproduced waterstimulationmonitoringwater reportncgncg reportnon-condensable gashydrocarbon report

EGS Collab Experiment 1: Core Logs

Apr 02, 2019
45.54 GB
Publicly accessible
Core logs from the EGS Collab project Experiment 1 for the stimulation (Injection) well (E1-I), the Production well (E1-P), and monitoring wells (E1-OT, E1-OB, E1-PST, E1-PSB, E1-PDT, and E1-PDB) on the 4850 Level of SURF (the Sanford Underground Research Facility), single PDF fil...
Authors
Dobson, P. et al Lawrence Berkeley National Laboratory
geothermalenergycoreboreholepoormansurfegscollabfracturese1-iinjection wellexperiment 1e1-pste1-obe1-pe1-ote1-psbe1-pdtlogsphotose1-pdbstimulationwellinjectionhydraulicmonitoringlogsamplefoliationfoldingfracturingfracturefoldfeatureshomestakesigma-v

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

Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Dec 04, 2018
62.49 MB
Publicly accessible
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Authors
Streig, A. and Wells, R. Portland State University
geothermalenergyddudeep direct-usethermal energy storageddu-tesseismicityearthquakefaultstructural geologymagnitudeeventmicroseismicityportlandbasinoregonormodelfeasibilityoatfield faulteast bank faultgales creek faultmount angel faultnewberg faultfrontal faultbolton faultcanby-molalla faulthelvetia faultbeaverton faultsherwood faultdip directiondip anglefault length

Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

Jun 29, 2020
Size unavailable
Publicly accessible
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Authors
Bershaw, J. et al Portland State University
geothermalenergymodelrtesportland basinoregonsutratessimulationviscositydensityflowstimulationhydraulicaquifersalinebrackishporositywell-spacingwell datadistrict heatingheatingcoolingthermal efficiencyheat fluxtemperaturevolumepumping rate

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Feb 08, 2023
6.91 MB
Publicly accessible
Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...
Authors
Norbeck, J. et al Fervo Energy
geothermalenergyutah forgeplug-and-perf stimulationwell stimulationfervo energyplug-and-perfplug and perffervotechnicalassessmentfeasibilityhydraulicstimulationinjection testprocessed datablue mountainnevadaegswell 73-22well 34a-22well 34-22near-field egshorizontal drillingproppantheat in placestate of stressfiber optic sensing

Utah FORGE: Final Topical Report 2018

Apr 07, 2018
173.06 MB
Publicly accessible
This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results associated with the conceptual geologic model, deep well 58-32, rock geomechanics, reservoir temperatures, seismic survey...
Authors
Moore, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyforgeutah forgeroosevelt hot springsutah forge phase 2butah forge 2b final reportutah forge final reportutah forge 2bconceptual geologic modelgeologystructuralsoil gas surveyseismic reflectiontemperature profilewell 58-32geomechanical propertiesstress analysisseismic monitoringmicroseismicityinduced seismicityseismicitytemtransient electromagneticspermeabilitypetrology cuttingsco2hecarbon dioxideheliumismpinduced seismicity mitigation planenvironmental impact assessmenttechno-economic assessmentoutreachgeophysicswellpetrologyhydrochemistryfracturesgravitypermittinginfrastrutureseismic mitigationenvironmental assessmentrock stressgeomechanicssoil gasdfnconstructionquaternary faultsutahegsmilford

Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides

Jul 31, 2022
4.56 MB
Publicly accessible
This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established f...
Authors
Ghassemi, A. et al The University of Oklahoma
geothermalenergyfracture mechanicsfocal mechanismanelastic strain recoverydfitwellborestress characterizationstress modelin-situ stresspresentationslidesinduced seismicityreservoir stressutah forgeegsimage logsfaulting theorybreakoutsdrilling-induced cracks

Testing for Controlled Rapid Pressurization

Sep 03, 2014
297.13 kB
Publicly accessible
Borehole W1 is a NQ core hole drilled at our test site in Socorro. The rock is rhyolite. Borehole W1 which was used to test gas-gas explosive mixtures is 55 feet deep with casing (pinkish in the drawing) set to 35 feet. The model is a representation of the borehole and the hol...
Authors
Knudsen, S. Sandia National Laboratories
geothermalpressurizationegsgas-gassocorro test siterhyolitegas-gas pressurizationw1boreholerapid pressurizationcontrolledcoreexperimentexplosivesolidworksdrawingcadwellborestimulationhydraulicmaterialsystemhigh temperatureenergeticdownhole

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

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: 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: DAS Microseismic Event Records From April 2024 Stimulation Experiment

Mar 25, 2026
1.29 TB
In curation
This dataset contains distributed acoustic sensing (DAS) microseismic event triggers (raw waveforms) recorded during the 16A-16B stimulations conducted at the Utah FORGE site in April 2024. The dataset consists of raw waveform data provided in nanostrain rate units, accompanied by...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergyutah forgeenhanced geothermal systemsegsdistributed acoustic sensingdasfiber optic monitoringdfosmicroseismicforgewaveformraw datastimulationevent triggersfiber opticgeophysicsgeomechanicshydraulic stimulationhydraulic fracturingdas channel locationssgyseg-ysilixacarinafogmore

Utah FORGE 2439: Well 16B(78)-32 Field-Test Data from Mini-Frac Tests

Jul 02, 2023
2.73 GB
Publicly accessible
This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergygeomechanicsutahforgeminifracstressin-situ stressegsmini-fracstress testgeophysical logimage logacoustic logsonic logfracturinghydraulic fracturingreservoir stressinjectioncaliper logstemperature logsxmac16b78-32baker hughespacker element pressureflowbackpacker element

kISMET Core Photos and Descriptions

Aug 02, 2016
15.5 GB
Publicly accessible
These core photos and descriptions were taken from the five boreholes that were drilled as part of the kISMET SubTER project conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. The boreholes are subvertical in orientation, and were drilled on the 4850 level ...
Authors
Dobson, P. et al Lawrence Berkeley National Laboratory
geothermalsubterstresshydraulic fracturingegssanford underground research facilitycorepoorman formationsurfkismetcore logscore photoscore descriptionsborehole

A Thermal-Hydrological-Chemical Model for the EGS Demonstration Project at Newberry Volcano, OR

Jan 30, 2012
Size unavailable
Publicly accessible
Newberry Volcano in Central Oregon is the site of a Department of Energy funded Enhanced Geothermal System (EGS) Demonstration Project. Stimulation and production of an EGS is a strong perturbation to the physical and chemical environment, giving rise to coupled Thermal-Hydrologic...
Authors
Sonnenthal, E. et al National Energy Technology Laboratory
geothermalnewberryoregonegsenhanced geothermal systemnewgenthermalhydrologychemicalmodelcross-sectionsstimulationinjectionhydrologicaldemonstrationmechanical

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

May 14, 2021
6.01 MB
Publicly accessible
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Authors
Marone, C. et al Pennsylvania State University
geothermalenergymatlabgeophysicsseismiccodeprocessed datamicroseismicityaiartificial intelligencedeep learningmachine learningacousticsacoustic emissionsseismic forcastingseismic predictionfaultfault propertiesshear stresstime to failureexperimentexperimental datalab databiaxial shear experimentbiaxial shear apparatusfriction

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

Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

May 05, 2021
Size unavailable
Publicly accessible
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Authors
Marone, C. Pennsylvania State University
geothermalenergyseismicactive sourcelaboratoryfriction experimentultrasonicgeophysicsmicroseismicitylab dataraw datawaveformsmechanical datapreprocessedmatlabacousticsacousticbiaxial testing apparatusultrasonic acoustic monitoring systemmachine learningdeep learningaiartificial intelligenceseismic forecastingearthquake forecastingfault

kISMET Final Report and Highlights

Oct 31, 2016
10 MB
Publicly accessible
The files in this submission describes the results of a series of stress measurement and hydraulic fracturing experiments conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. This report describes the accomplishments of the kISMET (permeability (k) and Induce...
Authors
Oldenburg, C. et al Lawrence Berkeley National Laboratory
geothermalenergystressegshydraulic fracturingnumerical modelingsanford underground research facilitycorepoorman formationanalytical modelingsubterhydraulic stimulationkismetpermeabilityinduced seismicitymanagementsurfborehole

EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data

Sep 12, 2022
17.77 MB
Publicly accessible
The EGS Collab Experiment took place at the Sanford Underground Research Facility at the Homestake gold mine in Lead, SD, USA. This dataset includes the NSF SAGE website where seismic waveform data from this experiment can be downloaded. Two broadband seismometers were installed...
Authors
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegswaveformsbroadbandtiltcharacterizationseismicwaveformgeophysicsexperiment 2continuousmonitoring4100 level

EGS Collab: Hydraulic Fracturing Test Measurements on the 4100L of SURF

Aug 15, 2019
21.63 MB
Publicly accessible
This package includes data from two days of testing at the Sanford Underground Research Facility (SURF) on the 4100 level. The tests were performed in borehole TV4100 in the battery charging alcove south of the Yates shaft. TV4100 is a vertical borehole ~50 meters deep. A series o...
Authors
Ingraham, M. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsblack hillsboreholestressdatapressureflowinjectioninitial shut in pressureisipfractureraw datashift reports4100linjection testheat flowrhyoliteamphibolitegeophysics

Utah FORGE: Well 58-32 Stimulation Data

Apr 20, 2019
61.5 MB
Publicly accessible
Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.
Authors
Best, S. Geothermal Resource Group
geothermalenergyforgeutahegsmilfordroosevelt hot springspasonsurface instrumentsstimulationpressuretemperatureisolate pumpingflowbackspartek memory pt gaugememory tooldidrillgrggeothermal resource groupbridge plugbadgeropenhole stimulationdidrill survey servicesweatherford hdwell 58-32utah geothermalfracture flowreservoir stimulationhydraulic fracturingphase 2cratehydraulicflowraw dataopen-holeupper perforationlower perforationutah forge

Utah FORGE: 2022 Well Stimulation Seismicity Data Including SeGY Data

Apr 14, 2023
Size unavailable
Publicly accessible
This is a link to the Utah FORGE seismic data distribution site hosted by the University of Utah Seismograph Stations. The data was collected from downhole geophone strings in wells 56-32, 58-32 and 78B-32 during the 2022 stimulation of well 16A(78)-32. This dataset, which was upd...
Authors
Pankow, K. University of Utah Seismograph Stations
geothermalenergyutah forgewell stimulation seismic data16a78-32 stimulation seismic datageophone datawell 56-32 geophoneswell 58-32 geophoneswell 78b-32 geophonesseismicitysgy datasegy datastimulationwell 56-32well 58-32well 16a78-32well 78b-32raw dataprocessed data
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