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Numerical Modeling for Hydraulic Fracture Prediction

Apr 26, 2016
1.1 MB
Publicly accessible
Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtai...
Authors
Gupta, V. Pacific Northwest National Laboratory
silicafracturingmodelingoverpressurepredictionnumerical modelingmechanical propertiesfused silica surrogate cylindrical samplesmaterial p[ropertiesfused quartzstress distributioncrack extensionstress intensity factorinternal pressureconfining pressurevariationstimulationreservoir

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

Lab-Scale Stimulation Results on Surrogate Fused Silica Samples

Jul 06, 2016
73.74 kB
Publicly accessible
Lab-scale stimulation work on non-porous fused silica (similar mechanical properties to igneous rock) was performed using pure water, pure CO2 and water/CO2 mixtures to compare back to back fracturing performance of these fluids with PNNL's StimuFrac.
Authors
Fernandez, C. Pacific Northwest National Laboratory
geothermaleffective pressurefused silicastimufraclab-scale stimulationfracturing proformancehydraulic fracturingquartzfracking fluidpressuremeasured effective pressuresupercritical co2reservoir stimulationegs

Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments

Apr 13, 2026
43.25 MB
Publicly accessible
The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear appara...
Authors
Elsworth, D. et al Pennsylvania State University
injection-induced seismicityfault pre-stressseismic moment scalingrupture regimesinduced seismicitytriggered seismicityfault reactivationfluid injectionearthquake magnitudeforecastingrupture mechanicscontained ruptureuncontained ruptureseismic momentlaboratory experimentsraw datatriaxial sheargranitegranitoidgeomechanicsshear displacementaxial displacementmatlab

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: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments

Sep 16, 2025
5.43 GB
Publicly accessible
This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure distribution, and seismic moment during laboratory fault slip. It includes raw mechanical data and acoustic emission rec...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicityegsgeomechanicsutah forgegranitoidlaboratory experimentsfault reactivationshear slipfluid injectioninjection ratepore pressurepore pressure distributionseismic momentacoustic emissionspermeabilitytriaxial testingshear stressaxial displacementpressure vesselmechinical datatime-series dataraw dataprocessed datamatlab

Utah FORGE: Laboratory Data for Emergent Pore Pressure Heterogeneity Controlling Slip Timing and Microseismicity

Mar 02, 2026
45.1 MB
Publicly accessible
Included are experimental data recorded from shear experiments that explore the effects of pore pressure heterogeneity on microseismic character and fault slip timing resulting from shear reactivation of laboratory faults. Raw mechanical and acoustic data from 15 experiments are i...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicitypore pressure heterogeneitygeomechanicsshear experimentsinjection rateutah forgeegsfault reactivationmicroseismicityacoustic emissionsfault slip timinglaboratory datatriaxial deformationgranitoid coresfluid injectionraw data

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: Laboratory Fault Reactivation and Permeability Evolution During Fluid Injection

Sep 15, 2025
182.35 GB
Publicly accessible
This dataset contains results from controlled shear reactivation experiments performed on cylindrical Westerly and granitoid granite samples with a single inclined fracture. Laboratory faults were pre-loaded near failure and reactivated by fluid injection to examine relationships ...
Authors
Elsworth, D. et al Pennsylvania State University
geothermalenergyinduced seismicityutah forgewesterly granitegranitoidpermeabilityshear stimulationegsfault reactivationfluid injectionpermeability evolutionseismicityacoustic emissionssingle inclined fractureshear stresspore pressuretriaxial testingmechanical datageomechanicsraw dataprocessed dataacoustic data

Utah FORGE: Direct Shear Tests on Saturated Sierra White Granite Joints at Elevated Temperatures

Nov 24, 2025
2.38 MB
Publicly accessible
This dataset contains results from laboratory direct shear experiments performed on tension-induced fractures in Sierra White granite under saturated conditions at target temperatures of 50 C and 100 C. The data were collected using a custom water-pressurized chamber equipped with...
Authors
Han, K. et al Purdue University
geothermalenergyutah forgesaturationgranitesierra white granitelab testdirect shear testshear strengthshear stressgeophysicsp-waves-waveelastic wave propagationegslaboratory datafracturesdirect shearraw datageomechanicssaturated fracturesshear displacementeffective normal stresspore pressureultrasonic measurementsgeophysical responserock mechanicsstimulation

Stimulation at Desert Peak Modeling with the Coupled THM Code FEHM

Apr 30, 2013
223.65 MB
Publicly accessible
Numerical modeling of the 2011 shear stimulation at the Desert Peak Well 27-15 using a coupled thermal-hydrological-mechanical simulator. This submission contains the finite element heat and mass transfer (FEHM) executable code for a 64-bit PC Windows-7 machine, and the input and ...
Authors
Kelkar, S. et al Los Alamos National Laboratory
geothermalshear stimulationmodelingegsfehmthmthermal-hydrological-mechanicalsimulationstimulation

Utah FORGE 5-2565: Final Report on the Evolution of Permeability and Strength Recovery of Shear Fracture Under Hydrothermal Conditions

Aug 24, 2025
3.52 MB
Publicly accessible
This report discusses the results of research on the ability to create and/or reactivate and subsequently sustain fracture systems which are strongly influenced by complexly coupled mechanical (M) and chemical (C) processes in reservoirs forced from equilibrium by hydraulic stimul...
Authors
Jeppson, T. et al United States Geological Survey
geothermalenergyutah forgeegsenhanced geothermal systemsfluid-rock interactionsthmc processesfracture evolutionusgsfracturesgeothermal resorvoirsfracture reactivationthmcmechanicalchemicalhydraulic stimulationthermal drawdownfinal reporttechnical report

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

Utah FORGE 5-2615: Final Report for the Experimental Determination and Modeling-Informed Analysis of Thermo-Poromechanical Response of Fractured Rock

Jun 30, 2025
6.17 MB
Publicly accessible
This is the final technical report documenting laboratory experiments and modeling conducted to characterize the thermo-poromechanical behavior of fractured crystalline rocks for application to Utah FORGE. The report includes measurements of poroelastic and thermo-poroelastic prop...
Authors
Ghassemi, A. The University of Oklahoma
geothermalenergyutah forgeegslaboratory experimentstechnical reportthermo-poromechanicalfracturingporoelasticthermo-poroelasticpermeability evolutionhydraulic fracturedfitmodeling resultsstressfracture mechanicsgeomechanicsblock-scalebiot effective stressclosure pressurethermal stresstransverse fracturesstimulation

Effective Elastic and Neutron Capture Cross Section Calculations Corresponding to Simulated Fluid Properties from CO2 Push-Pull Simulations

Mar 07, 2018
4.46 MB
Publicly accessible
The submission contains a .xls files consisting of 10 excel sheets, which contain combined list of pressure, saturation, salinity, temperature profiles from the simulation of CO2 push-pull using Brady reservoir model and the corresponding effective compressional and shear velocity...
Authors
Chugunov, N. and Altundas, B. Lawrence Berkeley National Laboratory
geothermalenergyco2carbon dioxidepush-pullactive seismicwell loggingegsneutron capturesnuparstimulationsensitivity analysischaracterizationfaultfracturefluidbrine

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

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

STRESSINVERSE Software for Stress Inversion

Oct 31, 2018
Size unavailable
Publicly accessible
The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...
Authors
Gritto, R. Array Information Technology
geothermalenergystress inversioninversionstressseismicanalysisstressinversejointfault orientationmatlabcodenumericalmomenttensorsoftwarepassivefaultfaultingearthquakeorientationgeophysicsgeophysicalmicroseismicityinducedseismicitystimulationegsinjectionfracturemonitoringhydraulicgeneration

Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

Feb 07, 2023
6.04 MB
Publicly accessible
This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques...
Authors
Sharma, M. and Cao, M. University of Texas
utah forgegeothermalfracture modellingdiscrete fracture modellingfracture propagation modellingutah forge fracture modellingdfnwell 16a78-32well 58-32fracture propagationegsenhanced geothermal systemsstimulationprocessed data

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 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior 2025 Workshop Presentation

Sep 18, 2025
129.18 MB
Publicly accessible
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemica...
Authors
Kroll, K. Lawrence Livermore National Laboratory
geothermalenergyutah forgeegs2025 annual workshopfracture permeabilityinduced seismicityseismic slipthmcreservoir modelinghydromechanical behaviorpresentationpresentation recordingpresentation slidesreport

Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior 2023 Annual Workshop Presentation

Sep 08, 2023
79.68 MB
Publicly accessible
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...
Authors
Kroll, K. et al Lawrence Livermore National Laboratory
geothermalenergyannual workshop2023utah forgeegsthmcinduced seismicityseismic slipearthquake simulationspressure statestress statepredictionsseismic hazardresource optimizationmitigationgeomechanicalgeochemicalslip-induced permeabilitycoupled processesfracture permeabilitypresentationstochastic parameter estimationslip simulation

Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Mar 09, 2018
9.74 MB
Publicly accessible
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
Authors
Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory
geothermalenergyegsco2carbon dioxidepush-pullpressure-transient testingitough2sensitivity analysisinverse modelingparameter estimationinconpesttough2fault modelinggf6bradyfaultingfaultfracturecharacterizationstimulation

Thermal Drawdown Induced Flow Channeling in Fractured Geothermal Reservoirs: Rock Mechanics and Rock Engineering

Nov 15, 2015
16.88 MB
Publicly accessible
We investigate the flow-channeling phenomenon caused by thermal drawdown in fractured geothermal reservoirs. A discrete fracture network-based, fully coupled thermal "hydrological" mechanical simulator is used to study the interactions between fluid flow, temperature change, and t...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalthermal drawdownflow channelingthermomechanical couplingreservoir simulationstimulationegsenhanced geothermal reservoirsexplosive fracturing

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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