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Reservoir Models×

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

Aug 16, 2018
30.41 MB
Publicly accessible
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Authors
Feigl, K. and Batzli, S. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarinterferometric synthetic aperture radarmodelingreportprocessed dataground deformationhydromechanical modelingfinite-elementgpssurface displacement

Thermal Drawdown Induced Flow Channeling in Fractured Geothermal Reservoirs: Rock Mechanics and Rock Engineering

Nov 15, 2015
16.88 MB
Publicly accessible
We investigate the flow-channeling phenomenon caused by thermal drawdown in fractured geothermal reservoirs. A discrete fracture network-based, fully coupled thermal "hydrological" mechanical simulator is used to study the interactions between fluid flow, temperature change, and t...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalthermal drawdownflow channelingthermomechanical couplingreservoir simulationstimulationegsenhanced geothermal reservoirsexplosive fracturing

Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model

Jan 30, 2023
5.8 MB
Publicly accessible
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation. A preliminary 3D velocity model for the larg...
Authors
Gritto, R. Array Information Technology
geothermalenergy3d seismic velocity modelseismic resolutionseismicgeophysicsreservoirmodelvelocityforgeutah forgeegscharacterizationreportpreliminarymilfordphasenetneural networkingmachine learningdeep learning

Flow and Geomechanical Modeling for the VESTA Project

Oct 07, 2025
705.82 MB
Awaiting release
This dataset contains flow and geomechanical modeling results developed for the VESTA project, which investigates high-temperature aquifer thermal energy storage (ATES). Both generic and site-specific models were constructed to evaluate reservoir thermal and mechanical performance...
Authors
Zhang, Y. and Rutqvist, J. Lawrence Berkeley National Laboratory
geothermalenergyhigh-temperature aquifer thermal energy storagecoupled thermal-hydrological-mechnical modelvestaaquifer thermal energy storageatesht-atestough-flactoughitough2thmgeomechanical modelingflow simulationheat transportberngeneric modelgroundwater flowpressure distributiontemperature profilesmodeled datastrainpermeabilityflac3dreservoir simulationates simulation

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

Jul 01, 2020
Size unavailable
Publicly accessible
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Authors
Johnston, H. et al National Renewable Energy Laboratory
geothermalenergysedimentaryfeasibilitysedimentary basinelko basinrailroad valleysteptoe valleypavant buttedenver basinpiceance basinraton basingulf coast regionnevadautahtexasgbcaasgreat basin carbonate and alluvial aquifer systemcarbonateagsadvanced geothermal systembottom-hole temperaturewell datalcoeeconomicsupperlowercarbonate aquifer unitegsenhanced geothermal systemplay fairway analysiscoloradotemperaturebottom-holemarys river basindrillingpermeabilityreservoirmodelingcarbonate geothermal systemcgstechno-economicanalysisdownselectsubsurfacedata mininggeologygradientheatflowgeophysicsseismicclosed-loophydrogeologycoststructuralbedrockmapaquifersedgeo

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

Dec 31, 2018
111.49 MB
Publicly accessible
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergygeocellular modelingmt. simon sandstoneillinois basinddudeep direct-use3-duniversity of illinois at urbana champaignfeasibilitycharacterizationillinoisstructuralgeologygeologicmodeldensityporositypermeabilitythermal conductivityheat capacitythicknessdepthst. peterthermalhydrologicmechanicalpetrophisicalproperties3dreservoir

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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