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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
4 Resources
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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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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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1 Resources
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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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3 Resources
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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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2 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
1 Resources
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1 Resources
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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
1 Resources
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1 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Folsom, M. et al Ormat Technologies, Inc.
Nov 09, 2016
11 Resources
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11 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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11 Resources
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Utah FORGE 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2024 Annual Workshop Presentation
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Ghassemi, A. and Jeffery, R. Energy and Geoscience Institute at the University of Utah
Sep 02, 2024
1 Resources
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1 Resources
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Centipod WEC, Advanced Controls, Final Technical Report
Final Technical Report for "Advanced Controls for the Multi-pod Centipod WEC device" describing project parameters, organization, task activities, accomplishments, and conclusions. See other submissions under this DOE project for economic viability, design geometry, and modeling.
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
1 Resources
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1 Resources
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Utah FORGE GeoThermOPTIMAL Video
This is a project description video by Dr. William W. Fleckenstein related to their "Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores" R&D project at Utah FORGE which is linked...
Fleckenstein, W. Colorado School of Mines
Dec 12, 2022
2 Resources
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2 Resources
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Colorado Heat Flow Data from IHFC
This layer contains the heat flow sites and data of the State of Colorado compiled from the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI) global heat flow database. The data include different i...
E., R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Centipod WEC, Advanced Controls, Quarterly Technical Report
Quarterly Technical Report for "Advanced Controls for the Multi-pod Centipod WEC device" describing project parameters, organization, task activities, accomplishments, and conclusions. See other submissions under this DOE project for economic viability, design geometry, and modeli...
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
2 Resources
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2 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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4 Resources
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Oscilla Power Triton 1310 System Overview and Baseline LCOE Calculations
This project aims to enhance survivability of a multi-mode point absorber. Included in this submission are content models providing a system definition and baseline LCOE calculations.
Mundon, T. Oscilla Power, Inc.
Jan 03, 2017
2 Resources
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2 Resources
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Utah FORGE 1-2551: Development of a Multi-Stage Fracturing System and Wellbore Tractor 2024 Annual Workshop Presentation
This is a presentation on the Development of a Multi-Stage Fracturing System and Wellbore Tractor by Colorado School of Mines, presented by William Fleckenstein. This video describes (1) the development and use of a low-cost and rapid multistage fracture stimulation technology wit...
Fleckenstein, W. Energy and Geoscience Institute at the University of Utah
Jan 13, 1970
1 Resources
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1 Resources
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Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Fleckenstein, W. et al Colorado School of Mines
Oct 05, 2022
1 Resources
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1 Resources
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Centipod WEC, Advanced Controls, WEC Geometry CAD
CAD files depicting the wetted geometry of the Centipod WEC used in numerical models during this project. This includes the wetted geometry of the point absorber body ('pod') and the WEC 'backbone'.
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
3 Resources
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3 Resources
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RivGen Current Flow Measurements, Igiugig, AK
Measurements of flow velocity, distribution and turbulence conducted by University of Washington Applied Physics Laboratory, Igiugig, Alaska, Summer 2014
Thomson, J. et al Ocean Renewable Power Company
Nov 03, 2014
1 Resources
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1 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
9 Resources
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9 Resources
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Triton-C Point Absorber Preliminary System Design Package
Preliminary System Design Package for the Triton-C WEC, including a report and CAD drawings pertaining to the overall preliminary design, system arrangement, surface float hull, and surface float arrangement.
Mundon, T. Oscilla Power, Inc.
Dec 01, 2017
4 Resources
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4 Resources
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Utah FORGE 1-2551: Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores Workshop Presentation and Report
Included here are a presentation recording, slides, and report on the Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores project by Colorado School of Mines, presented by Dr. William W. Fleckenstei...
Fleckenstein, W. et al Colorado School of Mines
Sep 08, 2023
3 Resources
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3 Resources
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Centipod WEC, Advanced Controls, MPC Controller MATLAB Code
This archive contains the MATLAB code for the model predictive control (MPC) controller developed in this project. The archive containing the WaveDyn models used for analysis of the Centipod with the MPC controller is linked in this submission.
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
3 Resources
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3 Resources
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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
6 Resources
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6 Resources
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