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Peer Review Presentation: Blind Geothermal System Exploration in Active Volcanic Environments
Geothermal Technologies Program Peer Review Presentation on Blind Geothermal System Exploration in Active Volcanic Environments. Includes plans and statuses for multi-phase geophysical and geochemical surveys in overt and subtle volcanic systems in Hawaii and Maui.
Martini, B. Ormat Nevada Inc
May 19, 2010
2 Resources
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2 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Peer Review Presentation
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. Nevada Bureau of Mines and Geology
Nov 13, 2017
1 Resources
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1 Resources
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Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation
**Overview**
A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...
Robertson, A. Wind Energy Technologies Office (WETO)
Apr 08, 2021
1 Resources
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Data for Known Geothermal Resource Areas (KGRA) and Identified Hydrothermal Resource Areas (IHRA) in Southern Idaho and Southeastern Oregon
The presented database includes water chemistry data and structural rating values for various geothermal features used for performing principal component (PC) and cluster analyses work to identify promising KGRAs and IHRAs in southern Idaho and southeastern Oregon. A brief note on...
Neupane, G. et al Idaho National Laboratory
Oct 09, 2017
2 Resources
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2 Resources
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Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...
Brown, S. and Smith, C. Nevada Bureau of Mines and Geology
Jun 30, 2022
4 Resources
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4 Resources
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MASK4 Test Campaign for Sandia WaveBot Device Dataset
This data and report details the findings from a wave tank test focused on production of useful work of a wave energy converter (WEC) device. The experimental system and test were specifically designed to validate models for power transmission throughout the WEC system. Additional...
Forbush, D. et al Sandia National Laboratories
Dec 25, 2023
5 Resources
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5 Resources
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Membrane Specifications for Multi-Configuration Membrane Distillation Model
The data includes the membrane properties and specifications used for multi-configuration membrane distillation desalination. In this study, membranes from CLARCOR, 3M, and Aquastill are tested in counter-current, co-current and air-gap configurations at Colorado School of Mines (...
Villa, D. et al National Renewable Energy Laboratory
Mar 01, 2018
7 Resources
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7 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geophysics GIS Data
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. Nevada Bureau of Mines and Geology
Mar 29, 2018
1 Resources
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1 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study LiDAR
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. Nevada Bureau of Mines and Geology
Mar 29, 2018
1 Resources
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1 Resources
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EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)
Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...
Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory
Nov 08, 2022
10 Resources
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10 Resources
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Triton: Survivability Enhancement of a Multi-Mode Point Absorber
The overall goal of this project was to design and validate a survival mode for the Triton WEC that allows for a reduction in peak loads, while simultaneously allowing for a reduction of capital cost due to the elimination of overdesign to account for uncertainty. In addition, the...
Mundon, T. and Rosenberg, B. Oscilla Power, Inc.
Sep 28, 2018
11 Resources
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11 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Shallow Temperature Survey
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. Nevada Bureau of Mines and Geology
Mar 29, 2018
1 Resources
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1 Resources
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MASK2B Initial Results from Wave Tank Test of Closed-Loop WEC Control
This dataset covers the MASK2B wave tank experiment focused on a more complete study of one degree of freedom (1DOF) control of the WEC was considered, including maximization of electrical power, multi-objective performance mapping, and implementation of a novel predictionless con...
Coe, R. et al Sandia National Laboratories
May 25, 2018
3 Resources
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3 Resources
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Utah FORGE 1-2410: Development of a Smart Completion and Stimulation Solution 2024 Annual Workshop Presentation
This is a presentation on the Development of a Smart Completion & Stimulation Solution by Welltec, presented by Ricardo Vasques. This video slide presentation discusses the development of an (1) annular isolation system, (2) a stimulation isolation system, and (3) a multi open-cl...
Esquitin, Y. et al Energy and Geoscience Institute at the University of Utah
Sep 15, 2024
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Wasco Airport Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
1 Resources
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Radar ARL Wind Profilerwith RASS, Boardman Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Condon Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Troutdale Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Prineville Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
1 Resources
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1 Resources
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Utah FORGE: Well 9-1 Logs and Data from Roosevelt Hot Springs Area
This is a compilation of logs and data from Well 9-1 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. The file is in a compressed .zip format and there is a data inventory table (Excel spreadsheet) in the root folder that is a guide to the...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2016
1 Resources
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1 Resources
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Benchmark Model for Wastewater Treatment Using an Activated Sludge Process
This is benchmark model for wastewater treatment using an activated sludge process. The activated sludge process is a means of treating both municipal and industrial wastewater. The activated sludge process is a multi-chamber reactor unit that uses highly concentrated microorganis...
Byun, J. and Maravelias, C. Princeton University
Jan 21, 2022
2 Resources
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2 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: Data used in Geosphere Journal Article
This data submission is for Phase 2 of Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations, which focuses on multi-fluid (CO2 and brine) geothermal energy production and diurnal bulk energy storage in geologic settings that are suitable for ...
A., T. Lawrence Livermore National Laboratory
Jun 01, 2015
2 Resources
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2 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 1-2409: PetroQuip Energy Services Zonal Isolation Solution for Geothermal Wells 2024 Annual Workshop Presentation
This is a presentation on the Zonal Isolation Solution for Geothermal Wells by PetroQuip Energy Services, presented by Robert Coon. This video slide presentation discusses the proposed design and development of a multi-stage system consisting of an Open-Hole Packer (OHP), a Locki...
Coon, R. and Long, R. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 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
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