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Utah FORGE: Well 58-32 Stimulation Conference Paper and Data

Apr 24, 2019
1.8 MB
Publicly accessible
The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...
Authors
Best, S. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeopen hole stimulationwell 58-32 stimulationwell 58-32utah geothermalgrgegsdisccrete fracture flowreservoir stimulationstimulationhydraulic fracturingphase 2cforgepressureflowbackratetemperaturehydraulicflowutahopen-holemilfordroosevelt hot springspre-processedupper perforationlower perforationmicroseismicitydasdistributed acoustic sensinggeophysics

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014

Sep 03, 2015
308.58 MB
Publicly accessible
The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ru...
Authors
Cladhouhos, T. et al AltaRock Energy Inc
geothermalegsdiverter materialmicroseismic monitoringtemperature monitoringgroundwater monitoringstimulation datanewberrywell datainjectivitypts datadaily reportoperations summarytemperature at depthwell head pressuredtstemperaturedepthprofileflow testwhtwhpflow rateflow datapressure databackflow reportgeochemistrygroundwatergas chemistryfield temperatureplhsnewwpad-16pad-29nn-17nn-18ground watersurface waterelhspcgvcpad 16pad 29publicationsgrcstimulationresultspaperdemonstrationproduction wellaltarocksgwstanfordpresentationvolcano2014newberry volcanoenhanced geothermal systemtoughreactthermalhydrologicalmechanicalchemicalpressure fall-offdownhole pressure55-29ptspresssurespinnersurveychartgraphreportdatamonitoring dataseismic dataseismicinduced seismisityanalysisfinal reportfoulger consultinginjectioninduced seismicitymitigationplanaddendumeventlocationsistirawclusteredoutputpnsnwell constructionwellboreschematiccasinghole depthsultrasonicflowratemanual readingsweir boxmeqmicroseismicity

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

DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Jan 24, 2024
1.3 GB
Publicly accessible
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsegsnewberrymagmatichydrothermalpfamodelingmodellingexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponentvolcanogeodata modelprocessed datageophysicscharacterization
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