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Utah FORGE: Phase 3 Microgravity Data

Oct 07, 2020
17.52 kB
Publicly accessible
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Authors
Hardwick, C. Utah Geological Survey
geothermalenergyutah forgeforge microgravitymicrogravityutah geothermalegsroosevelt hot springsmilfordgpsprocessed datageophysics

Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE 2023 Annual Workshop Presentation

Sep 08, 2023
67.53 MB
Publicly accessible
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...
Authors
Ghassemi, A. University of Oklahoma
geothermalenergyannual workshop2023reservoir stressstress statein-situ stressinduced seismicitymitigationstress modelingredistributionpermeability evolutionutah forgeegsreservoir stress redistribution

Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

Dec 20, 2019
384.67 MB
Publicly accessible
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Authors
Garapati, N. et al West Virginia University
geothermalwvutuscaroraitough2lbnlreservoir flow modelpermeabilityfracturematrixuncertainty analysisnumerical modelingmonte carlofirst-order-second-moment uncertainty propagation analysisfeasibilityddudeep direct-usemorgantownreservoir impedancethermal productionresource potentialthermal breakthroughpermeability modelseconomic analysispapergeothermicsgeothermal exploration riskexploration riskmodelingeconomicdirect usewest virginia universitytuscarora sandstoneflow modeluncertaintyanalysissimulationflow

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

Hawaii Play Fairway Analysis: Hawaii Conservation District Subzones

Nov 15, 2015
Size unavailable
Publicly accessible
Conservation district subzones for the state of Hawaii.
Authors
Lautze, N. University of Hawaii
conservation districthawaiisubzonesoridnanceconservationland useregulationslegalitiespfa

Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

Oct 05, 2022
4.59 MB
Publicly accessible
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Authors
Fleckenstein, W. et al Colorado School of Mines
geothermalenergycompletionsleevestractorheat modelegsutah forgestimulationfracturingwellbore technologieswellbore technologyheat exchangergeothermoptimalfracoptimal

Value of Information App Webinar Recording

Sep 28, 2026
840.61 MB
Curated
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Authors
Trainor-Guitton, W. and Menon, K. National Laboratory of the Rockies
geothermalenergydecision sciencebayesian statisticslabeled dataingeniousgeophiresvalue of informationvoidecision supportdecision analysisgeophysical datageothermal explorationprocessed dataweb appwebinarpresentation recording

Low Temperature Geothermal Resource Assessment for Desalination in United States

Sep 30, 2016
1.6 MB
Publicly accessible
This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...
Authors
Akar, S. and Turchi, C. National Renewable Energy Laboratory
geothermallow temperaturedesalinationboreholedirect-usemembrane distillationresource assessmentlow tempfresh water availabilitythermal energy desalinationeconomicslcohlevelized cost of heat

Appalachian Basin Play Fairway Analysis Analyses and Results

Jul 30, 2016
15.14 MB
Publicly accessible
*This submission updates a 2015 submission for the utilization analysis (https://gdr.openei.org/submissions/623)* The files document the analysis of utilization potential in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. This 2016 su...
Authors
E., T. Cornell University
geothermalappalachian basinwest virginiapennsylvanianew yorkdeep direct usedistrict heatingheat utilizationsurface levelized cost of heatslcohlcohgeothermal play fairway analysisgpfa-abdemandgeophiresindustrial usersagricultural userscampus and military usersutilizationmemoanalysisrisk factorexample sitescase studiesmaplow-temperaturelow tempgeospatial data

Newberry FORGE: 3D Gravity Density Model for Newberry Volcano

Mar 11, 2016
46.3 kB
Publicly accessible
These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve...
Authors
Bonneville, A. Pacific Northwest National Laboratory
geothermalegsenhanced geothermal systemforgenewgengravitygravity inversiondensitynewberryoregonupper vertexgravity anomalygravity surveygeophysicsgeophysicalsusceptibilitymodelinverseinversion

Newberry Caldera Conceptual Geophysical Model

Mar 04, 2016
Size unavailable
Publicly accessible
Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates multiple geophysical datasets to derive a conceptual subsurface model. Includes: Conductor layer based on transient electromagnetic data from Fitterman et al., 1988 (figure...
Authors
Moser, M. et al National Energy Technology Laboratory
geothermalenhanced geothermal systemegsnewgennewberryoregongravityseismicconceptual modelsubsurface modelgeologic modelstructuregeophysicsfaultsmtmagnetotelluricmodelconceptualgeophysicalcaldera

Compatibility Study of Nanofiltration and Reverse Osmosis Membranes with 1 Cyclohexylpiperidenium Bicarbonate Solutions

Oct 01, 2015
813.38 kB
Publicly accessible
The switchable polarity solvent forward osmosis (SPS FO) desalination process requires use of a polishing filtration step to remove trace quantities of draw solution from the product water stream. Selected nanofiltration (NF) and reverse osmosis (RO) membranes were tested for thei...
Authors
Adhikari, B. et al Idaho National Laboratory
geothermalswitchable polarity solvent forward osmosisnanofiltrationreverse osmosismembranesps fobrinecoupon testsmodule tests

Imperial Valley Dark Fiber Project Continuous DAS Data

Nov 10, 2020
1.09 TB
Publicly accessible
The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecomm...
Authors
Ajo-Franklin, J. et al Lawrence Berkeley National Laboratory
geothermalenergydistributed acoustic sensingdasimperial valleybrawleyhidden geothermal resourcesearthquakesseismicitytectonicssouthern californiaseismic datastrain rateseismic noisedark fiberdark fiber dassalton searaw datageothermal explorationtelecommunications fiberpythonhdf5jupyter notebookgeophysicsfiber optich5py

Hawaii Play Fairway Analysis: National Park Boundaries

Nov 15, 2015
Size unavailable
Publicly accessible
Provided here is a link to the National Park Service boundaries for the state of Hawaii. Maps are provided as an interactive web viewer as well as PDF doucments.
Authors
Lautze, N. University of Hawaii
national parkshawaiiunit boundariesboundariesland useregulationslagalitiesordinancenpsnational parkpfa

Maps, Models and Data from Southeastern Great Basin PFA

Jun 30, 2017
846.11 kB
Publicly accessible
This submission includes composite risk segment models in raster format for permeability, heat of the earth, and MT, as well as the final PFA model of geothermal exploration risk in Southwestern Utah, USA. Additionally, this submission has data regarding hydrothermally altered are...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyexplorationplay fairway analysisutahheatpermeabilityopalmtmagnetotelluricpfahydrothermal alterationsinterhidden geothermal systemsblind geothermal systemsshapefileshape filearcgisgisgeospatial dataxrdx-ray diffractionmilfordphase 2segbgbgreat basinse great basineasterngeophysicsheat floweastern great basinhydrothermal

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

Apr 01, 2024
35.23 TB
Publicly accessible
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdasdistributed acoustic sensingseismictriggered eventsgeophonesdownholedownhole seismicneubrexgeoenergie suissegesaprill 2024stimulationhydraulic fracturingcountinuous dataraw dataprocessed datageophysics58-3216b78-3256-32monitoring well

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

MT Data: Newberry 4D Monitoring EGS Project

Apr 12, 2016
Size unavailable
Publicly accessible
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored. Daily production reports- Oregon State University (OSU) had 6 stations running continuously. --Dynamic survey map, KML f...
Authors
Rose, K. National Energy Technology Laboratory
geothermalenhanced geothermal systemegsmtnewgennewberryoregonmagnetotelluricgeophyscisgeophysicsedxmonitoringstimulation

Utah FORGE 8-3617: Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network 2025 Workshop Presentation

Sep 18, 2025
84.74 MB
Publicly accessible
This is a presentation on Integrating Tracer Huff-Puff Tests and Geomechanical Analysis to Measure Evolution of the Fracture Network in EGS Reservoirs by California State University Long Beach, presented by Prof. Matthew Becker. This video slide presentation describes the use of h...
Authors
Becker, M. California State University Long Beach
geothermalenergyutah forgeegs2025 annual workshoptracer testinghuff-puff experimentsfracture network evolutiongeomechanicsthmcheat exchange areareservoir performancepresentationpresentation recordingpresentation slidesreport

Chelating Resins for Selective Separation and Recovery of Rare Earth Elements from Low Temperature Geothermal Water

Dec 31, 2016
100.34 kB
Publicly accessible
Study on the use of organic ligands to extract lanthanides from low temperature geothermal water.
Authors
Callura, J. Carnegie Mellon University
geothermalrare earth elementlanthanideadsorptionmineral revcoveryselective separationlow templow temperaturechelating resinscarnegie mellongeochemistrymineralogybrinechemical propertiesphysical propertiescomposition

Utah FORGE: Well 78B-32 Daily Drilling Reports and Logs

Aug 09, 2021
11.89 GB
Publicly accessible
This data set includes the daily drilling reports and Pason data for well 78B-32 and Schlumberger logs acquired after drilling completion. This well was drilled between June 27th and July 31st of 2021. Also included is raw and processed data for a variety of well data metrics incl...
Authors
McLennan, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 78b-32well 78b-32 fmi logswell 78b-32 ubi logswell 78b-32 drilling datautah forge well 78b-32daily reportsdaily drilling reportsprocess dataraw datagamma rayporositylogscementtemperaturedensityresistivityfractureubifmisonicwell databoreholewelldatagammadrillingreportscblcement bond logpason data

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

Dec 31, 2018
111.49 MB
Publicly accessible
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergygeocellular modelingmt. simon sandstoneillinois basinddudeep direct-use3-duniversity of illinois at urbana champaignfeasibilitycharacterizationillinoisstructuralgeologygeologicmodeldensityporositypermeabilitythermal conductivityheat capacitythicknessdepthst. peterthermalhydrologicmechanicalpetrophisicalproperties3dreservoir

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell
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