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HT Flash and Tantalum Capacitor Report

Oct 28, 2015
603.59 kB
Publicly accessible
Pushing the boundaries with geothermal tool development can often necessitate exceeding manufacturer specifications for temperature and pressure of individual circuit components. Detailed here are the efforts surrounding geothermal temperature characterization of commercially avai...
Authors
Cashion, A. and Cieslewski, G. Sandia National Laboratories
geothermalcomponent testinght componentsgeothermal toolscomponentselectronicshigh-temperaturehigh-temphigh temptool developmentflash memoryflashtantalumcapacitorhtdownholetemperaturepressurespecificationslimitationstechnologymanufacturer

Utah FORGE: Well 58-32 Stimulation Data

Apr 20, 2019
61.5 MB
Publicly accessible
Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.
Authors
Best, S. Geothermal Resource Group
geothermalenergyforgeutahegsmilfordroosevelt hot springspasonsurface instrumentsstimulationpressuretemperatureisolate pumpingflowbackspartek memory pt gaugememory tooldidrillgrggeothermal resource groupbridge plugbadgeropenhole stimulationdidrill survey servicesweatherford hdwell 58-32utah geothermalfracture flowreservoir stimulationhydraulic fracturingphase 2cratehydraulicflowraw dataopen-holeupper perforationlower perforationutah forge

Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Apr 22, 2022
15.98 MB
Publicly accessible
Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...
Authors
Mohamed, A. et al University of Oklahoma
geothermal drillinglost circulationsealing efficiencyrheologyhigh temperatureflow loop3d printingtemperaturecharacterizationdrilling fluid additivesshape memory polymergeothermal wellshpht challengesdrilling fluidwellbore hydraulicshole cleaningfluid stabilitysmart lcmht flow looplost circulation materialannular flowrheological propertiesgeothermalenergyviscosifierfiltration controlhphtgeochemistrywellboredrilling technologyexperimenttechnologyreportsgwmodeldrillingprocessed data

Data of High-Temperature Dynamic LCM Testing Setup

May 31, 2021
9.94 MB
Publicly accessible
Data from high temperature dynamic sealing tests for various fracture widths, at various temperatures (degrees F), with 5 wt.% bentonite-based mud containing various material fiber contents, at 100 to 400 psi differential pressure. Data from pressure test and evaluation of the dy...
Authors
Magzoub, M. et al University of Oklahoma
geothermal drillinglost circulationshape memory polymergranitefractureswellbore strengtheningsealabilitygeothermalenergylost circulation materialssealing pressurefiltrationsmart lcmsmpfracture sealingdrilling fluid additivestemperaturemodeldrillingwellboreexperimenttechnologyprocessed data

Utah FORGE: Well 56-32 Drilling Data and Logs

Mar 19, 2021
9.48 GB
Curated
This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory, sonic, array induction/spectral density/dual spaced neutron/gamma ray/caliper, spectral GR/temperature, and Gardner ...
Authors
Bristol, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergywell 56-32 datawell 56-32utah forgewell 56-32 logsutah forge well 56-32well 56-32 schlumberger logswell 56-32 daily drilling reportswell 56-32 pason dataforgeegsschlumbergerpasonlogsloggingwell datafmishear anisotropymemorysonicarray inductionspectral densitydual spacedneutrongammacalipergrspectralgardner densitydensitywell logmud logdaily drilling reportdrill bit bhaday vs depthdrillingeowrend of well reporttemperature

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