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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

GPS Station RINEX Files and Position Time-Series

Oct 14, 2021
Size unavailable
Publicly accessible
Links to URL's with latest position time-series of GPS stations SEMN, SEMS, and GARL at the San Emidio Desert Geothermal Area as well as URL with links to archived RINEX files. The data is being taken as part of the WHOLESCALE project for the purpose of developing a protocol for s...
Authors
Feigl, K. University of Wisconsin
geothermalenergygpsgeodesysan emidionevadasan emidio desertgeothermal areagps stationsrinexraw data

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Oct 01, 2021
7.12 MB
Publicly accessible
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Authors
Siler, D. and Pepin, J. United States Geological Survey
geothermalenergypca3d geologic modelgeologic modelgeologycharacterizationmachine learningmlbhsbrady hot springsprincipal component analysisproductionstressfaultsrbradyhydrothermalgeologic structureunsupervised3d well datacodegeothermicgeophysics

Utah FORGE: GeoThermOPTIMAL Presentation Video

Dec 12, 2022
20.69 MB
Publicly accessible
This is a project description video by Dr. William W. Fleckenstein related to their "Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores" R&D project at Utah FORGE which is linked...
Authors
Fleckenstein, W. Colorado School of Mines
geothermalenergyutah forgeforgemulti-stage fracturingwellbore tractorzonal isolationhorizontal drillingfracturingegsfracingwell stimulationvideoutahdrillingtechnologywellbore technologiessleevesmp4stimulation

Practices Maintain Straight Hole in Crooked Hole Conditions, While Also Enabling Significant Gains in Drill Rate

Apr 30, 2014
Size unavailable
Publicly accessible
Bottom hole assembly (BHA) designs were assessed in field trials for their ability to achieve critical low inclination requirements, while simultaneously enabling high drill rates. Because angle has historically been controlled by reducing weight on bit (WOB), these are often com...
Authors
Knudsen, S. et al Sandia National Laboratories
geothermalbhadrillingpacked bhapendulum bhamsemcginness hills fieldwobbottom hole assemblyweight on bitmechanical specific energyspeinclinationanglemcginness hills

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

Literature Collection for the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

Jan 20, 2026
Size unavailable
Publicly accessible
This submission contains links to multiple publications on the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers. The long-term goal of the project was to safely implement oil and gas industry drilling best-practices, particularly with respect to limit...
Authors
Wriedt, J. Geysers Power Company, LLC
geothermalenergygeyserspublicationsphysics-based drillingbit designlimiter redesignelectronic drilling recordsbit technologycontrol strategies

Exploration Case Studies on OpenEI

Sep 27, 2013
239.12 kB
Publicly accessible
The goal of this project was to create a template (and associated form) on OpenEI to solicit crowd-sourced information sharing about various geothermal resource areas around the world. Over the past two years, twelve case studies have been researched by NREL staff testing the usa...
Authors
Young, K. National Renewable Energy Laboratory
geothermalexplorationopeneigeothermal areacase studyexploration historywell field descriptionhydothermal systemreservoirheat sourcegeochemistrywell field datatectonic settingcontrol structurebrophy modelblind geothermal systemmemo

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

Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Jan 31, 2022
1.45 GB
Publicly accessible
Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
Authors
Hu, J. et al Lawrence Berkeley National Laboratory
geothermal bofieldenergymodelica buildings librarytoughcouplingdistrict energy systemdistrict heatingdistrict coolinggeothermalborefieldsimulationmodelmodelingoptimizationenergy storageseasonal energy storagegeothermal heat exchangeground source heat pumpgshpcodepythonmodelica

University of Illinois Campus Deep Direct-Use Feasibility Study Regional Geology

Mar 30, 2018
Size unavailable
Publicly accessible
Links to papers and reports describing the structure and character of the Illinois Basin geology. Included are descriptions of the two reservoirs that are being modeled for the DDU feasibility project at University of Illinois, the St. Peter and Mt. Simon Sandstones.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basingeologyst. peter sandstonemt. simon sandstoneaquifer hydrogeologycarbon dioxideco2sequestrationozark domemahomet aquifergeophysicsgravity anomlaymagnetic anomalymagneticsisostatic gravity

University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the Mt. Simon Sandstone

Mar 30, 2018
Size unavailable
Publicly accessible
These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoismt. simon sandstoneco2carbon dioxidesequestrationgeologydiagenesisplumereservoir modelingreservoir characterizationdepositionchampaign countydecaturillinois basin

High-Temperature Inorganic Self-Healing Inorganic Cement Composites

Sep 13, 2017
1.42 MB
Publicly accessible
The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...
Authors
Pyatina, T. and Sugama, T. Brookhaven National Laboratory
geothermalenergycarbon steelbond strengthcement-carbon steel bond strength recoveryhigh temperature cementself-healinghigh tempself healingstrength recoveryrepeated damagehigh temperaturescement compositesaged samplesclaypozzolanself-healing cementhigh temperaturepozzolanachemicalinorganiccementhigh-tempcompositeintegritytechnologywellbore

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

GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

Sep 30, 2019
29.51 MB
Publicly accessible
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Authors
Geothermal Technologies Office, U. National Renewable Energy Laboratory
geothermalenergygeovisionreeds modeldgeo modelfuture scenariosresource potentialcapacity expansionmodelingsystems analysisghpground source heat pumpgeothermal conductivitygeographic information systemgisgtcdistributed energy resourcesdersdistributed geothermal market demand modelnrelregional energy deployment systemrenewable analysiswater use analysissupply curve inputselectricity sectorair quality impactswater impacts
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