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"in-situ stress characterization"×
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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 2-2446: Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity 2025 Workshop Presentation

Sep 18, 2025
129.72 MB
Publicly accessible
This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Fan (Frank) Fei. The project's objective was to employ a combination of high-fidelity simulations and tr...
Authors
Kroll, K. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgeegs2025 annual workshopin-situ stresshydraulic fracturingfracture complexitytrue-triaxial testingstress characterizationpresentationpresentation recordingpresentation slidesreport

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 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 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 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 2439: Report on Minifrac Tests for Stress Characterization

Feb 22, 2024
21.49 MB
Publicly accessible
This report describes minifrac tests conducted in the 16B(78)-32 well at the Utah FORGE site to characterize subsurface stresses, including the magnitude and orientation of the minimum and maximum horizontal stresses and the magnitude of the vertical stress. A minifrac test was co...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergyutahforgeegsstressgeomechanicsminifracin-situ stress16b16b78-32geophysicshydraulic fracturingvertical stressminimum horizontal stressmaximum horizontal stressstress regimeflowback datare-opening pressurepressure responsethermal coolingrcxcirculationtechnical report

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 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations

Jan 30, 2025
10.44 MB
Publicly accessible
This report presents a series of numerical experiments investigating the relationships among near-well fracture complexity, in situ stress conditions, and wellbore deviation. Using a phase-field modeling approach, the study explores how factors such as stress regimes, wellbore ori...
Authors
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgephase fieldnumerical simulationnear wellbore fracture nucleationegsnear-wellfracture complexityin situ stresswellbore deviationphase-field modelingnumerical solutionsfracture nucleationgeos modelingstress regimesfracture propagationrock mechanicstechnical report

Utah FORGE 2-2446: Report on Laboratory Block Experiments with Six Different Combinations of Stresses and Rock Fabrics

Jan 30, 2025
15.21 MB
Publicly accessible
This report documents a series of block-scale hydraulic fracturing experiments, simulating Utah FORGE conditions to investigate how different combinations of in situ stress regimes, well orientations, and thermal stress conditions influence fracture initiation and propagation. The...
Authors
Bunger, A. and Lu, Y. Lawrence Livermore National Laboratory
geothermalenergyutah forgehydraulic fracturingtriaxial loadingegsblock-scalein situ stressthermal stimulationbreakdown pressurefracture propagationrock mechanicsfracture mappinglaboratory experimentsreservoir stimulationtechnical report

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 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 2-2446: Report on Phase Field Modelling of Near-Wellbore Hydraulic Fracture Nucleation and Propagation

Dec 31, 2023
5.37 MB
Publicly accessible
This is a report that describes the modelling of fracture nucleation and propagation in the near-wellbore region to understand the relationship between in situ stress and fracture patterns. A novel phase field formulation is described here, which represents fractures as a diffuse ...
Authors
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgephase fieldegsmodeltechnical reportfracture nucleationfracture propagationnear-wellborephase field modelnumerical modelgeosfracturingnumerical resultsin situ stress

Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE Final Report

Jun 30, 2025
3.73 MB
Publicly accessible
This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project obje...
Authors
Ghassemi, A. The University of Oklahoma
geothermalenergyutah forgeegswell borecore-basedfocal mechanismsreservoir stressfinal reporttechnical reportanelastic strain recoverydifferential strain curvefracture mechanicsdrilling-induced cracksnear-wellbore stress

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 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth

Jan 30, 2025
2.55 MB
Publicly accessible
This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...
Authors
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgestress roughnesshydraulic fracturingmeqegsstress profilefield measurementshydraulic fracture growth16a78-32stage 3geostechnical reportprocessed datageophysics2-2446toughness anisotropyrock mechanics

Simulating Complex Fracture Systems in Geothermal Reservoirs Using an Explicitly Coupled Hydro-Geomechanical Model

Jan 01, 2011
6.5 MB
Publicly accessible
Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...
Authors
Carrigan, C. et al Lawrence Livermore National Laboratory
geothermalrock mechanicshydraulic fracturingenhanced geothermal systemegssimulationhydrohydrofrackingflowmodelmodelingreservoirfracking

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

Snake River Plain FORGE: Site Characterization Data

Apr 18, 2016
632.32 MB
Publicly accessible
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Authors
Moos, D. and Barton, C. Idaho National Laboratory
geothermalforgeegssrgcsnake river plainidahosite characterizationsite datageologic modelgeomechanical modelwell datatempsupplementaladdendum3d modelrock physicsinel-1wo-2usgs-142websiteeventsinformationblogdatacollectionpaperstressinel sitestrian ratesdeformationanalyticalmodelinlseismicmonitoringannual reportmapseismic modelinggeologichistorysettingsublithosphericneogeneyellowstoneheisepicabovolcanicfieldvoncanicgravityheat flowcalderavolcanismmantle plumeoceanic hotspotmagmatismgrraesrpeastern snake river plainbasinpotentialsiteextensionsubsidencepaleoseismologyextensional structuresintrusiontectonic faultsgeomechanicalcharacterizationheheliumisotopeisotopic evidenceundiscoveredgeothermal systemserspaquiferthermal watermodelingthermalgeochemicalanomaliesconceptual modelwellboregroundwatertemperaturedistributionwell headstdtarget depthlocationcoordinateselevationresidualisostaticmagneticusgsmagneticsnrmeasternmtinversionlong-periodphase 1resistivityelectricalsoundinggeoelectricsectionrefraction surveyteleseismicreceiverprofilingrefractionray trace3dvolcanicspaleozoicrhyoliticpetreljewelsuitefold hingessnapshotsrpsrgmagnetotellurics

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

EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Sep 24, 2020
11.52 MB
Publicly accessible
Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...
Authors
Guglielmi, Y. Lawrence Berkeley National Laboratory
geothermalenergysimfipnew borehole instrumenthydrofractureegs collabnucleateanisotropyshear displacementwellboreexperimentstimulationseismicseismicityfracturehydraulic conductivitystressshearboreholemicro-shearingfoliationinjection testsanford underground research facilitysurfegshydraulicgeophysicsdisplacementflow rate

Method to Recover Media Ligand Losses During Sorption of Rare Earth Elements from Simulated Geothermal Brines

May 24, 2016
57.03 kB
Publicly accessible
This document describes the method and results of an in-situ experiment used to confirm that ligand bleed from a sorptive media can be contained. The experiment focused on maintaining the media's sorption of rare earth elements (REE) obtained from a simulated geothermal brine dop...
Authors
Stull, D. Tusaar Corp.
geothermalligandadsorptionsimulated brinemethodmineral recoveryrare earth elementreegeothermal brinesorptionligand bleedbrine study

EGS Collab Experiment 1: Second Set Tracer Test Results

Dec 19, 2019
4.94 MB
Publicly accessible
The EGS Collab project is developing ~10-20 m-scale field sites where fracture stimulation and flow models can be validated against controlled, small-scale, in-situ experiments. The first multi-well experimental site was established at the 4850 level in the Homestake Mine in Lead,...
Authors
Neupane, G. et al Idaho National Laboratory
geothermalenergyegs collabsurftracer testssigma-vc-dotsrhodamine-bfluoresceinbreakthrough curvechloridetracer datahydraulicfracturingsimulationtracerexperimentalegssanford underground research facilityinjectionsodium chloridelithium bromidecesium iodinetestbed 1stimulation

Utah FORGE 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Apr 29, 2022
17.77 MB
Publicly accessible
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyinsarground deformationcompressional velocity modelegsremote sensingwell characterizationwell 16awell 16butah forge

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
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