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Reservoir Models×

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

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

Baseline System Costs for a 50 MW Enhanced Geothermal System 2012

Apr 30, 2012
5.08 MB
Publicly accessible
Substantial unexploited opportunity exists for the US, and the world, in Enhanced Geothermal Systems (EGS). This cost analysis study provides a baseline cost for a 50 MW Geothermal Power Plant in a challenging New England environment. The study then assesses how project costs wo...
Authors
Selman, N. Gas Equipment Engineering Corporation
egsgeothermalworking fluiddrillingcost analysiswestern massachusettsreservoir modelingmountain home idchina lakecaenhanced geothermal systems

Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network Data

Jun 01, 2021
525.86 MB
Publicly accessible
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Authors
Finnila, A. Golder Associates Inc.
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsdfndiscrete fracture networkwell 16a78-32utahenhanced geothermal systemengineered geothermal systemfracmanroosevelt hot springsroosevelt hot springs geothermal sitemilfordprocessed datacsvwelldrillingstimulationpressuremodelmodeling

Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

Feb 26, 2021
248.07 MB
Publicly accessible
Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...
Authors
Smith, J. et al Lawrence Berkeley National Laboratory
geothermalcoolingthermal-hydrological-mechanicalmodelingground sourcesimulationflowcfdflow simulationmodelreservoir coolinginjectionreservoir cooling systemaquifer storage cooling systemgroundground coolinggeothermal coolingreservoirnew jerseystockton universitywithdrawalfea

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

Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Oct 02, 2023
7.83 GB
Publicly accessible
This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...
Authors
Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergydfnfracturesutah forgeegs fracture modelwspforgeegslarge upscaled dfnroosevelt hot springswell 16a78-32reservoir engineeringfracmanengineered geothermal systemsstimulationmodellingpermeabilityporosityreservoir modelingdiscrete fracture networkreservoir propertiesfracture modeling

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

Utah FORGE: Discrete Fracture Network (DFN) Data

Jun 24, 2020
10.65 GB
Publicly accessible
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Authors
Finnila, A. and Podgorney, R. Golder Associates Inc.
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsdiscrete fracture networkdfnfracture modellingmilfordmodelingfracturehydroshearinflatedpore pressurestressfracmanstimulationdrillingpressuregoldersimulationreservoir planninghydraulic fracturing
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