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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Apr 03, 2019
324.78 kB
Publicly accessible
Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...
Authors
Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah
geothermalenergyforge-utahgeochemistrynumerical modelingfractureinjection testporosityfracture networkmodelingwell 58-32well datastimulationdrillingroosevelt hot springswell 45-3reservoirmineralsthermalaqueousquartzcalciteillitekaolinitephpolythermalreaction pathutah forgeegsmilfordutahenergy geoscience institute

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: Well 14-2 Logs and Data from Roosevelt Hot Spring Area

Mar 03, 2016
96.02 MB
Publicly accessible
This is a compilation of logs and data from Well 14-2 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. Data includes: flowmeter survey (1989), geochemistry (1977-1978, 1977-1983), injection test data (1979, 1982), and spinner surveys (19...
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalforgeutah forgeegsroosevelt hot springutah geothermal wellsutah well logswell logsgeothermal wellsgeothermal well logsutah egsgeophysicsdownholeboreholemud logspinner surveyinjection testgeochemistryflowmeter testsonicgammaporositytemperaturepressuresurveysubsurfaceinductioncalipercompensated neutronformation densityutahwell datawell log14-2resourcecharacterizationmilfordroosevelt hot springsflowmeterspinnergamma raycompensatedneutronformationdensityelectricsteam injection

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

Jun 30, 2020
186.36 kB
Publicly accessible
This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Authors
Beckers, K. National Renewable Energy Laboratory
geothermalenergyddugeophiresdeep direct uselcoheconomicsabsorption chillersubsurface storagetechno-economiclevelized cost of heatwellboreexperimentcostsimulationmodelingreservoirtemperaturetechnologyabsorptionportland basinillinois basinwvuwest virginia universitywest virginiaportlandoregonchampagne-urbanaillinoisuniversity of illinoisurbana-champaignchampaign-urbanacornellhawthornenevadaporosityflowthermal conductivityinjection testdrillingwell data

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

May 31, 2019
4.48 MB
Publicly accessible
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
Authors
McLing, T. et al Idaho National Laboratory
energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada