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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...

Kelley, M. and Bunger, A. Battelle Memorial Institute

Sep 08, 2023
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Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Seismic

The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...

Lowry, T. et al Nevada Bureau of Mines and Geology

Mar 29, 2018
6 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geophysics GIS Data

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
1 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study LiDAR

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
1 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Peer Review Presentation

Lowry, T. Nevada Bureau of Mines and Geology

Nov 13, 2017
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Hawthorne Nevada Deep Direct-Use Feasibility Study Shallow Temperature Survey

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
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Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...

Bunger, A. et al Battelle Memorial Institute

Dec 13, 2022
4 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Geologic Model

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
3 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study References, Reports, Literature

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
3 Resources
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Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group a consortium of several national labs and academic institutions has tabulated time-depe...

Beckers, K. et al Pacific Northwest National Laboratory

Feb 03, 2023
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geology

Lowry, T. and Oldow, J. Nevada Bureau of Mines and Geology

Mar 29, 2018
5 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Temperature and Geochemistry Well Data

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
6 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Navy Geothermal Program Office General Data

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
7 Resources
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EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...

Johnston, B. et al National Renewable Energy Laboratory

Jun 07, 2019
4 Resources
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Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...

Hu, J. et al Lawrence Berkeley National Laboratory

Jan 31, 2022
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...

Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)

Dec 18, 2018
5 Resources
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Steptoe Valley NV Data Compilation: Understanding a Stratigraphic Hydrothermal Resource through Geophysical Imaging

Sandia National Laboratories partnered with a multi-disciplinary group of subject matter experts to evaluate a stratigraphic geothermal resource in Steptoe Valley, Nevada using both established and novel geophysical imaging techniques. Provided here are a compilation of newly acqu...

Schwering, P. et al Sandia National Laboratories

Nov 01, 2023
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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Seismic

Hawthorne Nevada Deep Direct-Use Feasibility Study Geophysics GIS Data

Hawthorne Nevada Deep Direct-Use Feasibility Study LiDAR

Hawthorne Nevada Deep Direct-Use Feasibility Study Peer Review Presentation

Hawthorne Nevada Deep Direct-Use Feasibility Study Shallow Temperature Survey

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Geologic Model

Hawthorne Nevada Deep Direct-Use Feasibility Study References, Reports, Literature

Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

Hawthorne Nevada Deep Direct-Use Feasibility Study Geology

Hawthorne Nevada Deep Direct-Use Feasibility Study Temperature and Geochemistry Well Data

Hawthorne Nevada Deep Direct-Use Feasibility Study Navy Geothermal Program Office General Data

EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Steptoe Valley NV Data Compilation: Understanding a Stratigraphic Hydrothermal Resource through Geophysical Imaging