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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Curated
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

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Sep 01, 2020
109.94 MB
Curated
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeothermal explorationhydrothermal mineral alterationsland surface temperaturefault densitypsinsarsubsidenceupliftbrady hot springsdesert peaknevadaconvolutional neural networkfallonmachine learningmodelhydrothermalmineraltemperaturerastergeospatial datageotifftraining datatraining dataset

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

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature

EGS Collab Experiment 1: DNA tracer data on transport through porous media

Nov 21, 2020
34.37 kB
Publicly accessible
This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir t...
Authors
Zhang, Y. et al Stanford University
tracergroundwaterdnamulti-well tracer testgroundwater tracingartificial tracerdataraw dataadsorptionreservoir tracerartificial reservoir tracerhydrogeologyhydrologycolumn transportexperimentlablaboratorylab data

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

Brady's Geothermal Field Seismic Network Metadata

Dec 21, 2014
38.38 kB
Publicly accessible
Brady's geothermal field seismic network station locations and dates of operation.
Authors
Foxall, W. University of Wisconsin
geothermalegs microearthquake monitoringbrady egs seismic monitoring networkmetadataseismic networkseismic monitoringbradyegsporotomoseismicitymicroseismicitymeqinduced seismicitybradys geothermal fieldbradys hot springsearthquake

EGS Collab Experiment 1: Common Discrete Fracture Network

Sep 18, 2019
5.69 MB
Publicly accessible
This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsgeophysicsfracturenetworkdiscrete fracture networkdfnfluidflowmodeldatafluid circulationboreholeweepcoresystemenhanced geothermal systemsandia national laboratorieselectrical resistivitywellinjection testtracerdrilling

Utah FORGE 6-3712: Curated and Fused 2022 and 2024 Stimulation Injection Datasets and Processing Report February 2026

Feb 25, 2026
155 MB
Curated
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

Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report

Sep 01, 2018
62.11 kB
Publicly accessible
This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...
Authors
Gritto, R. et al Array Information Technology
geothermalenergythe geysershigh temperature reservoirdeviatoric mt solutionsdeviatoricstresstensorcatalogmomentseismicityanalysisegsinjectioninducedmicroseismicityeventlocationshearstrainfracture networkfracture orientationfracture sizecaliforniacafaultfracturenetworkgeysersmicroseismichypocenterspassiveseismicmonitoringstimulationfinal reportinversionhydraulicfaultingearthquakegeophysicsgeophysical

Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection

Oct 03, 2017
16.49 MB
Publicly accessible
Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...
Authors
Swyer, M. et al AltaRock Energy Inc
geothermalenergyexplorationpassive seismic monitoringpassive seismic tomographyambient noise tomographymicro-seismicitywashington statest. helens shear zonemount st. helensvpvsvp/vsfocal mechanismsrelocated seismic eventsmt st helensmount saint helensmt saint helensvelocityseismicsite assessmentresource assessmentsite investigationpfatomographygeophysics

Improved Microseismicity Detection During Newberry EGS Stimulations

Oct 01, 2013
23.03 kB
Publicly accessible
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsseismicitymicroseismicitystimulationfracturereservoirearthquakesmonitoringmicroseismicseismicnewberry

Improved Microseismicity Detection During Newberry EGS Stimulations

Nov 01, 2013
214.5 kB
Publicly accessible
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsseismicitymicroseismicitystimulationfracturereservoirngds content modelusgin content modelinduced seismicitynewberrymicroearthquakemonitoringmeasurementdetectionhydrualic

Bradys Geothermal Field MEQ Relocations 3D Velocity Models

Jul 01, 2015
186.79 kB
Publicly accessible
Hypocenters of local microearthquakes and 3D P and S-velocity models computed by simultaneous inversion of arrival times recorded by the Brady seismic network Nov 2010-Mar 2015.
Authors
Foxall, W. University of Wisconsin
geothermalmicroearthquake locationssimultaneous inversion3d seimic velocity modelsd seismic velocity modelmicroeathquake locationsmetadatameqmicroearthquakemicroseismicityrelocationsvelocitymodel3dporotomobradyseismicitybrady hot springsbradys

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

Jun 30, 2023
413.96 MB
Curated
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

Microearthquake Studies at the Salton Sea Geothermal Field

Oct 01, 2013
409.48 kB
Publicly accessible
The objective of this project is to detect and locate microearthquakes to aid in the characterization of reservoir fracture networks. Accurate identification and mapping of the large numbers of microearthquakes induced in EGS is one technique that provides diagnostic information w...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalseismicityearthquakesmicroearthquakesinduced seismicityfractureseismologysalton sea

Imperial Valley Dark Fiber Project (IVDF): Brawley EQ Cluster Catalog and DAS Event Dataset

Apr 08, 2026
4.13 GB
Curated
The Imperial Valley Dark Fiber (IVDF) project deployed a distributed acoustic sensing (DAS) interrogator on a pre-existing dark fiber cable running ~28 km between Calipatria and Imperial, California, passing through the Brawley Geothermal Field and surrounding Brawley Seismic Zone...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergydasdistributed acoustic sensingfiber optic sensingbrawley seismic zonesalton seaimperial valleybrawley fieldearthquakeseismicityevent cataloghdf5southern california seismic networkscsnwaveform recordingsswarmraw dataprocessed datageophysics

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

Aug 30, 2024
743.47 MB
Publicly accessible
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Authors
Jogineedi, R. et al GTI Energy
geothermalenergycommunity geothermalgeothermal sizingborehole testinggeothermal heat pumpworkforce developmentbuilding energy modelingground heat exchangergeothermal network designcommunity engagementcommgeohinesburgvermontmodelicaenergyplusonepipepythonmodelingthermal conductivity testreportenergy modelborehole designhourly energy loadssizinggeothermal loop sizingsystem designdevelopment

Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus

Oct 23, 2018
21.98 MB
Publicly accessible
The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia...
Authors
Moore, J. et al West Virginia University
geothermalenergydirect usecore analysispermeabilityddufeasibilitystudytuscarora sandstone3dgeologic modelgeologywvugrcpaperpresentationdataphotosthin sectionanalysisminipermeabilityclay-513preston-119deepreservoirparameter estimationgeofluidflow rate

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

Utah FORGE: Tensor Strainmeter Data for the April, 2024 Stimulation of Wells 16A(78)-32 and 16B(78)-32

Sep 09, 2025
4.44 MB
Curated
This dataset contains time series data from the four Tensor Optical Fiber Strainmeters at Utah FORGE, recorded during all stages of the April 2024 hydraulic stimulations of wells 16A(78)-32 and 16B(78)-32. The data span from midnight UTC on April 4 through April 18, 2024, and are ...
Authors
Murdoch, L. Clemson University
geothermalenergystrainstrainmeterutah forgetensor strainstimulationforgeoptical fiberegshydraulic stimulationprocessed data16a78-3216b78-32strain datageomechanicstime seriesbarometric pressureslurry ratetreatment pressuregeothermal reservoirstimulation monitoring

Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data Chicago, IL

Dec 04, 2023
117.3 MB
Curated
This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes therm...
Authors
Baser, T. et al Saint Louis University
geothermalenergysustainablecommunity scalethermal conductivitynumerical modelingashraeefficient designchicagocommgeocommunity geothermalborefieldheating and coolingmodelingthermal conductivity testthermal loadsbuilding loadscomsolprocessed databorehole sizing

U.S. Geothermal District Heating and Cooling Systems Data

Nov 02, 2020
306.29 kB
Curated
This dataset contains detailed information on geothermal district heating and cooling systems across the United States, including geothermal direct use-based district heating systems and geothermal heat pump (GHP)-based district heating and cooling systems. The direct use-based ...
Authors
Kolker, A. et al National Renewable Energy Laboratory
geothermalenergydistrict heatdirect usegeothermal district heatinggeothermal energyrenewable heating systemsgeothermal system costsinfrastructurethermal energy networkoperational dataeconomicsproject statusdistrict energyprocessed datageothermal heat pumpsghpdistrict heating and cooling

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
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