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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
2 Resources
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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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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
4 Resources
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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
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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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
11 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data

**Overview** Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data. **Data Details** T/RH events history is available in the attached Excel file: *PS01-TRH-3m *PS01-TRH-10m *PS02...

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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AeroDyn V15.04: Design Tool for Wind and MHK Turbines

AeroDyn is a time-domain wind and MHK turbine aerodynamics module that can be coupled into the FAST version 8 multi-physics engineering tool to enable aero-elastic simulation of horizontal-axis wind turbines. AeroDyn V15.04 has been updated to include a cavitation check for MHK tu...

Murray, R. et al National Renewable Energy Laboratory

Apr 28, 2017
1 Resources
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Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering

Includes six mp4 and one PDF files. The mp4 files show the percolation of ferrofluid in porous media under a magnetic field. The names of the authors are available in the PDF file. The data are from an experimental study performed at the Michigan Technological University. The expe...

Askari, R. and Khurana, M. Michigan Tech

Feb 27, 2021
8 Resources
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Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales

Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel methods for drilling, stimulation, and maintenance, under operating conditions that ...

Walsh, S. et al Lawrence Livermore National Laboratory

Jan 01, 2012
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Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling

This technical manual serves as an outline of three separate research projects related to building energy performance modeling of occupant behavior, conducted at the Rutgers Center for Green Building (RCGB): a Synthetic Population project, a Co-Simulation of Synthetic Population w...

Andrews, C. National Renewable Energy Laboratory

Apr 26, 2016
1 Resources
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Utah FORGE: Roosevelt Hot Springs Analytical Well-Based Temperature Model Data

This submission contains a cumulative record of one-dimensional temperature modeling based off of well data in the vicinity of the Utah FORGE site. Temperature log data from wells used, and in some cases were extrapolated below the bottom of a number of wells. The data were corre...

Podgorney, R. and Allis, R. Idaho National Laboratory

Dec 07, 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
3 Resources
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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
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

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

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

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

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

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data

Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data

Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data

AeroDyn V15.04: Design Tool for Wind and MHK Turbines

Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering

Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales

Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling

Utah FORGE: Roosevelt Hot Springs Analytical Well-Based Temperature Model Data

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

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

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