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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...

Williams, J. Energy and Geoscience Institute at the University of Utah

Sep 17, 2024
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Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...

Williams, J. et al Global Technology Connection, Inc.

Jan 21, 2025
3 Resources
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Stanford Thermal Earth Model for the Conterminous United States

Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....

Aljubran, M. and Horne, R. Stanford University

Mar 14, 2024
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

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...

Vesselinov, V. Los Alamos National Laboratory

Mar 29, 2021
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
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Utah FORGE 5-2615: Determination and Analysis of Thermo-poromechanical Response of Fractured Rock 2024 Annual Workshop Presentation

This is a presentation on the Determination and Modeling-Informed Analysis of Thermo-poromechanical Response of Fractured Rock for Application to FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video presentation discusses how to improve understanding and co...

Ghassemi, A. Energy and Geoscience Institute at the University of Utah

Sep 01, 2024
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Open Energy Information (OpenEI.org)

Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories acros...

Brodt-Giles, D. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
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In curation

Surface Meteorological Station ANL 10m, (1) Sonic, Physics site-9 Raw Data

**Overview** Sonic anemometers from Physics Site-3 and Site-9 provide wind components and virtual temperature. The energy balance Bowen ratio (EBBR) station at Physics site-3 provides measurements of the surface fluxes of latent and sensible heat, net radiation, and surface soil ...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
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Surface Meteorological Station ANL 10m, (1) Sonic, Physics site-9 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
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Surface Meteorological Station ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 Raw Data

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
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Surface Meteorological Station ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Jan 12, 2018
1 Resources
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Bioenergy Knowledge Discovery Framework (KDF)

Bioenergy Knowledge Discovery Framework (BioKDF) supports the bioenergy infrastructure effort to move the nation towards sustainable, renewable energy solution. The BioKDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts ...

Goss, A. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data

**Overview** Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature. **Data Details** * X (column 1) is a component of wind cm/s plus toward north. * Y (column 2) is a component of wind cm/s plus toward east. * Z (column 3) is...

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data

Cook, D. Wind Energy Technologies Office (WETO)

Jul 14, 2016
1 Resources
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Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

Lab data on permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient for Utah Forge Well 58-32 and Well 78-32. Work done as part of project number 5-2615 by the University of Oklahoma.

Ghassemi, A. and Zhou, X. University of Oklahoma

Oct 31, 2022
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Washington Air-Sea Interaction Research Facility Waves and Currents Test Data

This archive includes data from the University of Washington WASIRF (Washington Air-Sea Interaction Research Facility) flume. WASIRF is a laboratory testing tank at the Northwest National Marine Renewable Energy Center designed to investigate wind-wave-current interactions. It inc...

Colosimo, P. University of Washington (NNMREC) Applied Physics Lab

Feb 23, 2022
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
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Identifying Pathways for Enhanced Collaboration between the Mining and Geothermal Industries Techno-Economic Analysis and Data Summaries

These spreadsheets include a Techno-Economic Analysis (TEA) summary and descriptions and links to mining data analyzed as part of this study. The TEA summary includes the results from several mining data-informed geothermal development models analyzed using the DOE's Geothermal El...

Rhodes, G. et al National Renewable Energy Laboratory

Mar 31, 2020
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Utah FORGE 5-2615: Thermo-poromechanical Response of Fractured Rock Workshop Presentation

This is a presentation on the Experimental Determination and Modeling-Informed Analysis of Thermo-poromechanical Response of Fractured Rock for Application to Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Prof. The project objec...

Ghassem, A. University of Oklahoma

Sep 08, 2023
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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

Stanford Thermal Earth Model for the Conterminous United States

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

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Utah FORGE 5-2615: Determination and Analysis of Thermo-poromechanical Response of Fractured Rock 2024 Annual Workshop Presentation

Open Energy Information (OpenEI.org)

Surface Meteorological Station ANL 10m, (1) Sonic, Physics site-9 Raw Data

Surface Meteorological Station ANL 10m, (1) Sonic, Physics site-9 Reviewed Data

Surface Meteorological Station ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 Raw Data

Surface Meteorological Station ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 Reviewed Data

Bioenergy Knowledge Discovery Framework (KDF)

Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data

Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data

Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data

Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data

Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data

Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data

Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data

Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data

Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

Washington Air-Sea Interaction Research Facility Waves and Currents Test Data

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Identifying Pathways for Enhanced Collaboration between the Mining and Geothermal Industries Techno-Economic Analysis and Data Summaries

Utah FORGE 5-2615: Thermo-poromechanical Response of Fractured Rock Workshop Presentation