OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 25 of 52.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"deep drilling"×
Seismic×

Utah FORGE: Seismic and Other Shapefiles from the Roosevelt Hot Springs Area

Mar 22, 2016
18.51 kB
Publicly accessible
Three shapefiles in this submission show the position of proposed seismic line surveys. The mid-crustal velocity anomaly file shows the extent of an anomalously low P-wave velocity zone in the subsurface. Two other files show the extent of known hydrothermal systems in the Rooseve...
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalseismiclinesroosevelthydrothermalmilfordutahegsforgewater pipelinesystem2d3darcgisgisshapefileshape filegeospatial datautah forgegeophysicsroosevelt hot springsvelocitydeep drillingvelocity anomalycrustalmid-crustalp-wave

Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations

Mar 26, 2019
171.52 MB
Publicly accessible
This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area: An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...
Authors
Abraham, S. et al Energy and Geoscience Institute at the University of Utah
geothermalenergywell 78-32utah forgeutah forge phase 2cseismic monitoring wellutahlithologic logsdaily drilling reportsdrilling reportdrilling photosegscuttings logutah geothermalwell 68-32phase 2cthermal gradienttemperature logsutah forge temerature gradientswell oh-3well oh-4well wow-4well locationswells58-3268-32oh-3oh-4wow-2wow-3well wow-3well wow-2borehole logginggeophysicsground watermilforddrillingdatawelllocationforgewell dataresourcecharacterizationroosevelt hot springswell locationlithologycuttingsraw datapost-processedprocessed datatemperatureseismic monitoringseismicgeospatial dataarcgisshapefile

Hotspot Project: The Snake River Geothermal Drilling Project Initial Report

Jan 01, 2012
1.71 MB
Publicly accessible
The Snake River volcanic province (SRP) overlies a thermal anomaly that extends deep into the mantle; it represents one of the highest heat flow provinces in North America. The primary goal of this project is to evaluate geothermal potential in three distinct settings: (1) Kimama ...
Authors
Shervais, J. et al Utah State University
geothermalhotspot projectbasaltgeophysicalkimamakimberleygravitymagneticseismicloggingidahoaquifersnake rivervolcanic provinceplainhotspotexplorationrhyolitedrillingdownholelithologylithologic logstratigraphic column

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data

USU Camas-1 Test Well: Documentation

Oct 31, 2018
77.61 MB
Publicly accessible
This submission contains documents that describe the USU Camas-1 test well, drilled in Camas Prairie, Idaho, in Fall 2018 and Fall 2019. The purpose of this well is to validate exploration methodologies of the Snake River Plain (SRP) Play Fairway Analysis (PFA) project.
Authors
Shervais, J. Utah State University
geothermalenergyidahocamas prairieusuutah state universitycamas-1test welldrillingwell datasnake river plainsrpblindresourcecharacterizationplay fairway analysispfaidaho department of water resourcesprospectuspermitlithologicgeophysicalgeophysicsconductivityresistivitytemperaturerhyolitegraniteclay-richgougelithologywellboreenvironmentenvironmentalimpactassessmenteawildlifewildlife inventorycultural inventoryseismiccore

Utah FORGE: Downhole Geophone Seismic Data (August 2022)

Aug 25, 2022
Size unavailable
Publicly accessible
This is a link to downhole geophone data collected by Schlumberger. These data were collected in the Utah FORGE deep seismic monitoring wells 58-32 and 56-32. The format is a standard SEGY and the units are bits. To convert to acceleration (m/s2) multiply by 2.333 x 10-7. Use one ...
Authors
Pankow, K. and Schlumberger, S. University of Utah Seismograph Stations
geothermalenergyutah forgeseismic dataseismicitygeophone datadeep well geophones58-3256-32schlumberger datageophonedowndownhole geophoneschlumberger geophonegeophysicsseismicmonitoringdownholeforgeegsdeep

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: Microseismic Monitoring Geophone Data from Well 78-32

Mar 18, 2020
4.64 MB
Publicly accessible
This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...
Authors
Pankow, K. University of Utah
geothermalenergyutah forgeforgeutahgeophone78-32raw datageophysicsmicroseismicitystimulationegsseismicmonitoringseismicitydrilling

Exploration Best Practices on OpenEI

Sep 20, 2013
63.84 kB
Publicly accessible
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Authors
Young, K. National Renewable Energy Laboratory
geothermalexplorationgeophysicsopeneiremote sensingconceptual modelsexploration costsbest practicesloggingdrillinggeochemistryresistivity surveymt surveyelectromagnetic surveygravityseismicisotopelidarhyperspectralmultispectralswirflirinsarsarreflectionrefractonmagneticsdc resistivity2-m probewell loggingdatabase link

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

Wister, CA Downhole and Seismic Data

Dec 18, 2010
768.6 MB
Publicly accessible
This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...
Authors
Akerley, J. Ormat Nevada Inc
geothermalwistercaliforniadrillingwell datapressuretemperaturespinnerptsgeophysicsdownholewell loginjection test12-27boreholelithologymineral compositionmud loggas analysisimperial countyspontaneous potentialspgamma raygrneutron porositynporarray inductionaitimperial valleyresistivity85-20circulation3d seismicseismicgeophysical surveyreflectionp-wavemulti-component3ckirchhoff pre stackrefractionshear waveexplorationrisk reduction

Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32

Oct 20, 2019
7.42 MB
Publicly accessible
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Authors
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeutah geothermalmicroseismic datasilixa microseismic datawell 78-32 microseismic datawell 58-32 stimulation seismicityforge phase 2csilixawell 58-32well 78-32utahmilfordroosevelt hot springssegyseg-ydasdistributed acoustic sensingdxsmicroseismicitydasvmonitoringwell locationwell datadtsdistributed temperature sensingprocessed datageophysicsstimulationraw 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

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 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model

Jan 30, 2023
5.8 MB
Publicly accessible
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation. A preliminary 3D velocity model for the larg...
Authors
Gritto, R. Array Information Technology
geothermalenergy3d seismic velocity modelseismic resolutionseismicgeophysicsreservoirmodelvelocityforgeutah forgeegscharacterizationreportpreliminarymilfordphasenetneural networkingmachine learningdeep learning

Map of Validation of Innovative Exploration Technologies for Newberry Volcano

Jul 01, 2012
3.18 MB
Publicly accessible
A map showing location of wells permitted, drilled and seismic test, as part of validation of innovative exploration technologies done for the Newberry Volcano project in 2012.
Authors
Jaffe, T. Davenport Newberry Holdings, LLC
geothermalmapsdrillingnewberryoregonvolcanocalderaexplorationdavenportmapietwelllocationpermitsseismicwell locationhydrothermalegs

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

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Newberry EGS Literature References

Apr 22, 2016
69.94 kB
Publicly accessible
Research references to literature about the Newberry geothermal area, Oregon.
Authors
Rose, K. National Energy Technology Laboratory
geothermalegsenhanced geothermal systemnewberryoregonnewgengeophysicsgeologyhydrothermalseismicstructurep waveelectricmagnetotelluriclithologyliteraturefield guidegeologic historyvolcano hazardsframeworkpetrologyexploratory drillingslimholeexplorationflow testingdrillholestructuralactive sourceteleseismictomographyresource characterizationmagma chambercrustalvelocitygravityemelectricalcompressional wavecoremineralogy

Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

Jul 01, 2020
Size unavailable
Publicly accessible
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Authors
Johnston, H. et al National Renewable Energy Laboratory
geothermalenergysedimentaryfeasibilitysedimentary basinelko basinrailroad valleysteptoe valleypavant buttedenver basinpiceance basinraton basingulf coast regionnevadautahtexasgbcaasgreat basin carbonate and alluvial aquifer systemcarbonateagsadvanced geothermal systembottom-hole temperaturewell datalcoeeconomicsupperlowercarbonate aquifer unitegsenhanced geothermal systemplay fairway analysiscoloradotemperaturebottom-holemarys river basindrillingpermeabilityreservoirmodelingcarbonate geothermal systemcgstechno-economicanalysisdownselectsubsurfacedata mininggeologygradientheatflowgeophysicsseismicclosed-loophydrogeologycoststructuralbedrockmapaquifersedgeo

Elevation Grid for top Columbia River Basalt (CRBG) in the Portland Basin used in DDU Feasibility Study

Dec 01, 2018
41.13 MB
Publicly accessible
The Portland Basin is a prime location to assess the feasibility of DDU-TES because natural geologic conditions provide thermal and hydraulic separation from overlying aquifers that would otherwise sweep away stored heat. Under the Portland Basin, the lower Columbia River Basalt G...
Authors
Bershaw, J. and Scanlon, D. Portland State University
geothermalenergyddudeep direct-useelevationsportland basinarcgisgeospatial datagiscrbgstructure mapcross sectiongeologyfeasibilityportlandoregondemdigital elevation mapseismicwell dataoutcropsurveymapcross-sectionddu-testhermal energy storagecolumbia river basalt grouptes

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: Distributed Acoustic Sensing Data 2022

Apr 29, 2022
Size unavailable
Publicly accessible
This is a link to the website where Distributed Acoustic Sensing (DAS) seismic data, collected from wells 78-32 and 78B-32 during the Utah FORGE 2022 stimulation, is available for download. The data can be accessed at "Well 16A78-32 2022 Stimulation Seismicity Data" link in the su...
Authors
Pankow, K. University of Utah Seismograph Stations
geothermalutah forge seismic dataseismic dataseismicitydas seismic datawell 16a78-32 stimulationwell 16a78-32stimulationsegydataraw dataseismicsilixawellseismograph

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
123Next >>
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service