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High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

Nov 30, 2021
7.92 MB
Publicly accessible
High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.
Authors
Salehi, S. and Vivas, C. University of Oklahoma
geothermalenergylost circulation materialshpht filtrationfracture sealingparticle size distributionrheologydrilling fluid additivesgelationthermal degradationhigh pressure high temperaturepsdtemperaturemodeldrillingwellboreexperimenttechnologyprocessed datalcm

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

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization

SMP and Fracture Modeling

Oct 01, 2021
8.59 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem

SMP Preparation, Programming, and Characterization

Oct 01, 2021
1.04 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem

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