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Utah FORGE: 2024 Discrete Fracture Network Model Data

Sep 08, 2024
1.4 GB
Publicly accessible
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Authors
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture modellingfracturesstochastic fracturestensile fracturesdiscrete fracture network modelegsplanar fracturespermeabilityporositycompressibilitystoragemeqhydraulic stimulationmodelmodelingprocessed data

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

EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)

Jun 07, 2022
8.18 GB
Publicly accessible
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsconferenceteleconferencerecordingmeetingpresentationscientific discussionmswgmodeling and simulation working group

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
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