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Literature Data on Foam Fracturing Fluid

Nov 08, 2021
103.25 kB
Publicly accessible
At the beginning of this project, the Temple team spent significant effort to collect data relevant to foam fracturing. More than 40 articles/reports were found in the open literature that reported the properties of aqueous foams under various testing conditions. The foam properti...
Authors
Thakor, V. et al Temple University
geothermalenergyenhanced geothermal systemsfoam fracturing fluidsfoamfoam fracturingdataliterature reviewdata collectionprocessed datareference

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

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

Utah FORGE: Drilling Data for Student Competition

Dec 07, 2018
604.64 MB
Publicly accessible
Diagnostic drilling data (Pason log files) from Well 58-32 (previously labeled MU-ESW1), which was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. This dataset includes both ...
Authors
Podgorney, R. et al Idaho National Laboratory
geothermalenergyforgeutahstudent competitiondrillingpason58-32egsroosevelt hot springsmilfordlogssubsurfaceperformancerigbitsmaterialsdownscaledmu-esw1roppump pressurewobweight on bitrate of penetrationtemperaturedepthtdtorqueflowwelllogdatadrillphase 2bresourcecharacterizationdrilling datawell datautah forgeraw dataprocessed data

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython

Utah FORGE: GPS Data Deformation Monitoring

Jun 24, 2019
349.04 MB
Publicly accessible
This data bundle contains raw GPS data files and resulting data using Trimble Business Center and NOAA OPUS to process the GPS data in spreadsheets with station coordinates and elevations. A map of station locations is included along with the final processing report which includes...
Authors
Erickson, B. and McKean, A. Energy and Geoscience Institute at the University of Utah
geothermalenergygps datautah forgedeformation monitoringutah geothermalgpsdeformationhorizontal velocitygeodesystructuralgeologynoaaopustbcutah geological surveygnssforgesystems analysisphase 2cmonitoringtrimblepstmpsdmmilfordroosevelt hot springsutahraw dataprocessingpre-processingreportegsremote sensingstation coordinatesprocessed data

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 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

Utah FORGE: Neubrex DTS Fiber Optic Temperature Data from Well 16B(78)-32 August 2025 Circulation and Huff-and-Puff Tests

Mar 28, 2026
447.3 MB
Publicly accessible
This dataset contains processed Neubrex Distributed Temperature Sensing data acquired in well 16B(78)-32 at the Utah FORGE site during August 2025 field operations. The data were collected during cross-well circulation testing from well 16A to well 16B and subsequent huff-and-puff...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergytemperaturedtsthermalgradientfiber opticscoiled tubingutah forgeegsneubrexdistributed temperature sensingfiber optic sensingcailbrated temperaturehdf5prodml16b78-32circulation testhuff and puffprocessed data

Utah FORGE: Neubrex RFS DSS Fiber Optic Strain Data from Well 16B(78)-32 August 2025 Circulation and Huff-and-Puff Tests

Mar 26, 2026
10.33 GB
Publicly accessible
This dataset contains processed Neubrex Rayleigh Frequency Shift Distributed Strain Sensing data acquired in well 16B(78)-32 at the Utah FORGE site during August 2025 field operations. The data were collected during cross-well circulation testing from well 16A to well 16B and subs...
Authors
Guzik, A. et al Neubrex Energy Services (US), LLC
geothermalenergyfiber opticsstraindtsdastemperatureacousticshuffpuffcirculationcoiled tubingsingle modemulti modegaugeutah forgeegsneubrexrayleigh frequency shiftrfsdistributed strain sensingdssfiber optic sensingprocessed dataprodmlhdf5strain changestrain change rate16b78-32circulation testhuff and puffgeophysics

Newberry Volcano Joint Active-Source and Teleseismic P-Wave Tomography Slowness Model and Processing Code

Dec 14, 2015
3.54 GB
Publicly accessible
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
Authors
Heath, B. et al University of Oregon
geothermalenergynewberry volcanoseismic tomographyp-waveslownessslowness modelvelocity modelactive-source seismologyteleseismic delay timesjoint inversionupper crustmatlabdeepenprocessed datageophysicssuperhot

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data

Utah FORGE: Discrete Fracture Network (DFN) Model (2025 v1) 3D Visualization Via the Seequent Central Public Viewer

Jan 08, 2026
664.3 kB
Publicly accessible
Visualize the Utah FORGE DFN model in three-dimensional space using the Seequent Central public viewer. 131 discrete planar fractures have been interpreted by Aleta Finnila (https://gdr.openei.org/submissions/1750) from various data sets obtained during the 2022 and 2024 stimulati...
Authors
Jones, C. and Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture networksequent3d dfnfracture model3d fracture modelsequent central public viewer3d visualizationprocessed datahydraulic stimulationmicroseismic datafracture interpretation16a78-3216b78-32planar fracturesmodelvisualizationgeophysicsgeomechanics

Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

May 23, 2019
413.08 kB
Publicly accessible
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Authors
Johnston, H. and Young, D. National Renewable Energy Laboratory
geothermalenergyenergy storagenatural gasunconventional shalegeocaesmodelwellgeothermal energy storagegeothermal reservoirsurface plantfeasibilitytechnologytestechnicaltechnical assesmentcodeprocessed data

Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

Apr 03, 2024
6.43 MB
Publicly accessible
This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergystrainmicro seismicdtsdssrfs dsshydraulic fracturingfault reactivationfracture driven interactionfdifrac hitsdistributed temperature sensingdistributed strain sensingprocessed datareportutah forgeneubrexcrosswellfiber optic monitoringgeophysicsstimulation

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results

May 20, 2024
859.13 kB
Publicly accessible
This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional...
Authors
Smith, F. et al National Renewable Energy Laboratory
geothermalenergyreedsgamspythonblmusfsrenewable energy potential modelgeothermal leasing areaspriority leasingresource potentialfeasibilitytechnology combinationnatural resource conflictstransmissiongeothermal capacitygenerationsystem costemissionstechnical reportprocessed datamodelinggithubmodel results

Utah FORGE: 2024 Discrete Fracture Network Model Data

Sep 08, 2024
1.4 GB
Publicly accessible
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Authors
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture modellingfracturesstochastic fracturestensile fracturesdiscrete fracture network modelegsplanar fracturespermeabilityporositycompressibilitystoragemeqhydraulic stimulationmodelmodelingprocessed 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: Roosevelt Hot Springs Analytical Well-Based Temperature Model Data

Dec 07, 2018
8.25 kB
Publicly accessible
This submission contains a cumulative record of one-dimensional temperature modeling based off of well data in the vicinity of the Utah FORGE site. Temperature log data from wells used, and in some cases were extrapolated below the bottom of a number of wells. The data were corre...
Authors
Podgorney, R. and Allis, R. Idaho National Laboratory
geothermalenergytemperature modelstudent competitionforgeutahroosevelt hot springs1dtemperaturemodelmodelingwell-basedegsmilfordutdataearthutah forgemodellingwell datatemperature datacharacterizationgeoreferenced datageospatial dataresourceprocessed data

Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B

Nov 06, 2024
2.83 GB
Publicly accessible
This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...
Authors
Khatara, S. et al Neubrex Energy Services (US), LLC
geothermalenergyh5hdf5rayleigh frequency shiftrfsdssdistributed strain sensingfiber optic sensingneubrexsr7000utah forgeegsstimulationfar field strain changestrain responsecumulative strainstrain change rate16a16bhydraulic fracturingprocessed datageophysicsstrainstrain ratefractures

Steptoe Valley NV Data Compilation: Understanding a Stratigraphic Hydrothermal Resource through Geophysical Imaging

Nov 01, 2023
1.43 GB
Publicly accessible
Sandia National Laboratories partnered with a multi-disciplinary group of subject matter experts to evaluate a stratigraphic geothermal resource in Steptoe Valley, Nevada using both established and novel geophysical imaging techniques. Provided here are a compilation of newly acqu...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergynevadasteptoe valley3d geological modelmtgeochemistryhydrothermalstratigraphygeophysicsmagnetotelluricscsemelectromagneticsgravitygeologymodelingreflectionseismicleapfrogseismic reflectionwater sampleprocessed dataraw datacontrolled-source electromagneticleapfrog energyfeasibilityaqueous

EGS Collab Experiment 2: Earth Model Datasets

May 29, 2022
747.89 MB
Publicly accessible
The EGS Collab Project performed a series of tests to increase the understanding the response of crystalline rock mass to stimulations and fluid circulation to efficiently implement enhanced geothermal systems (EGS) technologies. The EGS Collab team created two underground testbed...
Authors
Neupane, G. et al Idaho National Laboratory
geothermalenergyegs collabegssurfsanford underground research facilityleadsouth dakotacollabraw dataprocessed datageologyconceptual model

Nationwide Heat Flow, Well Data, and Related Files in the SMU Node of the National Geothermal Database System (NGDS)

Mar 01, 2014
21.6 GB
Publicly accessible
This dataset compiles heat flow and temperature gradient data from over 44,000 wells across the United States, along with more than 6,000 related geothermal exploration resources. Originally assembled prior to 2014 for the now-retired National Geothermal Data System (NGDS), the co...
Authors
Blackwell, D. et al Geothermal Laboratory, Southern Methodist University
geothermalenergyheat flowtemperature gradientbhtwell datangdsgeothermal explorationthermal conductivityradiogenic heatoil and gas wellsgeothermal wellssubsurface datageological dataprocessed datatechnical reportspublicationsgeothermal mappingngds-smusmu node
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