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U.S. Geothermal Electricity Siting Regulation and Zoning Ordinances (2026)

Sep 21, 2026
38.41 MB
Curated
This is a collection of documented state and local ordinances governing utility-scale geothermal electricity projects throughout the United States. The data were compiled using the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems (INFRA-COMPASS) tool, wh...
Authors
Pullutasig, B. et al National Laboratory of the Rockies
geothermalenergypowerutilitywellexplorationdrillingnoisesetbackspermitssitinglocalcitationsaillmcompassinfra-compassmachine readableartificial intelligencewell drillingpower plantspower production

GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Mar 29, 2021
179.87 MB
Publicly accessible
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Authors
Vesselinov, V. Los Alamos National Laboratory
geothermalenergymachine-learningnew mexicobradynevadagreat basinsouthwest new mexicomulti-physicsbrady hot springssmarttensorsgeothermalcloudgeothermal cloudlos alamos national laboratorysite datasimulationmachine learningmodel

U.S. Geothermal Heat Pump Siting Regulation and Zoning Ordinances (2026)

Sep 21, 2026
95.6 MB
Curated
This is a collection of documented state and local ordinances governing geothermal heat pumps (GHPs), ground-source heat pumps, and related geothermal exchange wells and loop systems throughout the United States. The data were compiled using the Infrastructure Continuous Ordinance...
Authors
Pinchuk, P. et al National Laboratory of the Rockies
geothermalheatpumpexchangegeo-exchangeheatingcoolingwellclosed loopopen loophorizontal loopvertical loopordinanceregulationsetbacknoisepermittingaillmcompassinfra-compassmachine readablegeothermal heat pumpghpartificial intelligenceheating and cooling

Community Geothermal: Seward Alaska Heat Loop District Energy System Modelica Model

Sep 29, 2024
Size unavailable
In progress
This dataset contains a Modelica-based dynamic thermal simulation model of the Seward Heat Loop project. The model contains building loads generated from DesignBuilder simulations of the four city-owned buildings that are connected to the system. These buildings are heated by a hy...
Authors
Mitchell, M. et al National Renewable Energy Laboratory
geothermalenergyheat pumpocean sourcewell datacommgeo

Utah FORGE 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth

Jan 30, 2025
2.55 MB
Publicly accessible
This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...
Authors
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
geothermalenergyutah forgestress roughnesshydraulic fracturingmeqegsstress profilefield measurementshydraulic fracture growth16a78-32stage 3geostechnical reportprocessed datageophysics2-2446toughness anisotropyrock mechanics

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

Deep Direct-Use Feasibility Study Economic Analysis using GEOPHIRES for West Virginia University

Jan 09, 2020
3.73 MB
Publicly accessible
This dataset contains all the inputs used and output produced from the modified GEOPHIRES for the economic analysis of base case hybrid GDHC system, improved hybrid GDHC system with heat pump and for hot water GDHC. Software required: Microsoft Notepad, Microsoft Excel and GEOPHI...
Authors
Garapati, N. West Virginia University
geothermalenergygeophireswvulcohhybrid geothermal natural ags systemdirect-usereservoir simulationuncertainty analysisddudeep direct usefeasibilityeconomicgdhcdhsdistrict heatingdistrict heating and coolingcostheatlevelizedhot waterhybridheat pumpnatural gashybrid geothermal natural gas system

EGS Collab: 3D Geophysical Model Around the Sanford Underground Research Facility

Feb 06, 2019
14.13 MB
Publicly accessible
This package contains data associated with a proceedings paper (linked below) submitted to the 44th Workshop on Geothermal Reservoir Engineering. The Geophysical Model text file contains density, P and S-wave seismic speeds on a 3D grid. The file has six columns and provides latit...
Authors
Chai, C. et al Lawrence Berkeley National Laboratory
3d seismic structurejoint inversionblack hillssurfegs collab3dseismicmodelingmodelgeophysicsgeophysicaldensityvelocityspeedsanford underground research facilityinversionreservoir engineeringegscollabapiinteractivedata1dprofilemapvisualizationdepth2dp-waves-wave

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

REopt Lite Geothermal Heat Pump Design Requirements

Mar 08, 2021
277.13 kB
Publicly accessible
This document describes the design requirements for the geothermal heat pump (GHP) module being added to the existing REopt Lite web tool. This document describes the purpose, users, and functional requirements to which the modified web tool shall conform. This document will be re...
Authors
Olis, D. National Renewable Energy Laboratory
geothermalenergyreoptreopt liteghpgeothermal heat pumpmodelmoduleweb toolweb interfacetooltechno-economiceconomics

QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learningdecision supporttraffic light
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