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"student competition"×

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

Utah FORGE: Well 58-32 Injection Test Data

Dec 07, 2018
3.71 MB
Publicly accessible
This submission contains pressure and flow time series data from the reservoir testing of Well 58-32. These activities were part of the Utah FORGE Phase 2B site suitability confirmatory testing.
Authors
Podgorney, R. and McLennan, J. Idaho National Laboratory
geothermalenergyreservoir testingstudent competitionforgeegswell58-32injection testdatapressureroosevelt hot springsutahstimulationevaluationmilfordutah forgeinjectiontestflowsuitability

Utah FORGE: Well Data for Student Competition

Dec 07, 2018
33.96 MB
Publicly accessible
Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...
Authors
Podgorney, R. et al Idaho National Laboratory
geothermalenergyforgestudent competition58-32accord-1egsroosevelt hot springsmilfordutahreservoir characteristicswell loggeophysicalgeophysicslithologythermal conductivityx-ray diffractionwell surveysonicwell locationsdensitycaliperhole diametergammagrradiationresistivityneutronporositysptemperatureconductivityspecific potentialmu-esw1welldatawell dataresourcecharacterizationexplorationutah forge

Oregon Direct Use Geothermal Well Data

Apr 16, 2020
205 kB
Publicly accessible
This excel file provides direct use geothermal data for various wells located in Oregon. Data includes well name, location, heating application, temperature and flow of fluid, capacity, energy use, and load factor. The data is from the State of Oregon Department of Geology and Mi...
Authors
Niewendorp, C. Oregon Institute of Technology
geothermalenergyoregondogamidirect usewell datacontent modelusginaasgtemperatureflowcapacityenergy useload factorapplicationgeospatial datagtilo

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: Geologic, Topographic, and Other Related Maps and GIS Data from the Earth Model

Dec 07, 2018
964.98 MB
Curated
This submission contains a number of maps and shapefiles related to the Utah FORGE site. Examples include geologic maps (several variations) and GIS data for the Utah FORGE site outline. All data are georeferenced to UTM, zone 12N, NAD 83, NAVD 88.
Authors
Podgorney, R. et al Idaho National Laboratory
geothermalenergyforgeearth modelstudent competitiongeospatial dataroosevelt hot springsutahgisarcgisshapefilegeologygeologicmaptopographytopographicegsmilfordutah forgesiteoutlinefaultsquaternarystructural

Utah FORGE: Earth Model Mesh Data for Selected Surfaces

Dec 07, 2018
20.83 MB
Publicly accessible
This submission contains a number of data files with vertices of meshed/interpolated surfaces used in the Phase 2B earth model. Examples include land surface (based on 10-meter DEM), the granitoid-basin fill contact, several faults, and also interpolated temperature isosurfaces f...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergystudent competitionearth modelforgeroosevelt hot springsutahdemdigital elevation modelgeospatial datacoordinateisosurfacefaultstructurestructuraldatalocationland surfacetemperatureopal moundnegro magegsmilfordenhanced geothermal systemutah forgemodelingmodellingmesh datagranitoidtoptopographygeologybasin fillresourcecharacterizationprocessed data

Synthetic Lithium Prize Brine for Finalists of the Geothermal Lithium Extraction Prize Competition

Sep 29, 2023
30.75 kB
Publicly accessible
The Department of Energy (DOE), Geothermal Technologies Office (GTO) launched a multi-phase funding program to advance technologies for extraction of lithium from geothermal brines. This initiative, known as American-Made Geothermal Lithium Extraction Prize (GLEP), had objectives ...
Authors
Neupane, G. and Smith, R. Idaho National Laboratory
lithium extractioncritical mineralsgeothermal brinedirect lithium extractionbrine miningbrine synthesiscompetitionsynthetic lithium prize brineslpbglepidaho national laboratorydlegeochemistrygeothermal fluidsalton seassgfamerican-made geothermal lithium extraction prize

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

Sep 28, 2023
3.69 MB
Publicly accessible
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Authors
Mustafa, A. et al Battelle Memorial Institute
geothermalenergyutahforgegeomechanicsmachine learningffnnartificial neural networkannin-situ stressstress characterizationlabtuvtriaxialstressfeed forward artificial neural networkmlegsmodellingexploratory data analysiseda

Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

Aug 30, 2024
973.4 kB
Publicly accessible
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah forgein-situ stress estimationphysics-based modelingfinite element methodmachine learning modelthermo-poro-mechanical effectwell loggingvelocity-to-stress relationshipmachine learningfemreporttechnical report16a78-32mlegs2-2439v2principal stressstress predictionfar-fieldpre-cooling

Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Sep 30, 2015
32.65 MB
Publicly accessible
This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...
Authors
Jordan, T. et al Cornell University
geothermalnew yorkpennsylvaniawest virginiadeep direct usedduappalachian basingeothermal play fairway analysispfaplay fairwayanalysismonte carlofinal reportphase 1low temperatureexplorationcharacterization