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Supercritical Drilling Materials Analysis: Report on Resources, Challenges, and Needed Technologies

May 01, 2026
19.98 MB
Awaiting release
This report describes a comprehensive review of 49 existing supercritical geothermal wells to inform future geothermal drilling attempts and avoid previous failure points and understand material and testing limitations, while collating information gathered in a publicly accessible...
Authors
Kibikas, W. et al Sandia National Laboratories
geothermalenergysupercriticaldrilling materialswell completionwellborematerial validationmaterial testinglaboratory experimentswell casingcasing connectionscementdrill bitfluid chemistrylost circulation materialslinerdrill stringsmaterial performancefailure pointsliterature reviewsupercritical wellsgeothermal wellsgeochemistrycirculationdrilling fluidstechnical reportnesjavellirhengillreykjaneskraflalarderellocampi flegreinisyroskakkondapunathe geyserssalton sealos humerosmenengai

Utah FORGE: Triaxial Direct Shear Results

Aug 14, 2023
755.67 MB
Publicly accessible
This submission contains a report and associated data from triaxial direct shear tests conducted by Los Alamos National Laboratory. The samples used were sourced from 16A(78)-32 well core. The primary objectives of this test were to determine the shear strength in both intact an...
Authors
Frash, L. et al Los Alamos National Laboratory
geothermalenergytriaxial core testingtriaxial shear testingtriaxial testinglanllos alamoscore testingcore fracture testingutah forgeutah geothermalinjectiongeochemistryegsshear strengthtriaxialpermeabilityeffluent chemistry

GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Mar 29, 2021
179.87 MB
Publicly accessible
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Authors
Vesselinov, V. Los Alamos National Laboratory
geothermalenergymachine-learningnew mexicobradynevadagreat basinsouthwest new mexicomulti-physicsbrady hot springssmarttensorsgeothermalcloudgeothermal cloudlos alamos national laboratorysite datasimulationmachine learningmodel

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

Jun 30, 2023
1.03 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalweightspfapcaunsupervisedstandardizedexplorationcharacterizationglobal