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Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

Apr 28, 2025
1.29 MB
Publicly accessible
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsdistributed strain sensingdssfiber-optic sensingmicroseismicityfracture stimulationgeodetic monitoringinsarsubsurface deformationhydraulic fracturingseismicityfracture modelingreservoir characterizationtechnical reportprocessed dataapril 2024stimulation

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data

Nevada Great Basin Play Fairway Analysis Reports & Appendices

Oct 28, 2015
52.81 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalnevadaplay fairwayreportappendicesgreat basinnbmgnvpfacarson sinksteptoe valleygeophysicsgeophysicalgeologygeologiclidargeochemicalgravityseismic reflectionmtmagnetotelluricsgeodeticgeodesyshallow temperaturesoil gasslip and dilation tendancy3d modelingthermal modelingexplorationresource assessmentresource potentialinvestigationsurveypreliminarysite assessmentfavorabilitynv great basin

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython