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Wave and Offshore Wind Resource in the U.S. Pacific Ocean Minor Outlying Islands
Coastal environments such as islands have unique opportunities for renewable energy resources. This work explores the wave and offshore wind energy potential for the U.S. Pacific Ocean Minor Outlying Islands, including Baker Island, Howland Island, Jarvis Island, Johnston Atoll, K...
Yang, Z. et al Pacific Northwest National Laboratory
Dec 31, 2020
30 Resources
0 Stars
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30 Resources
0 Stars
Publicly accessible
Ground Source Heat Pump Parameter Survey
The purpose of this report is to investigate the effects of various parameters in a horizontal loop geothermal heat pump system. The obtained values include the temperature distribution over the entire system as well as the exiting temperature and bulk heat rate of the fluid. The ...
Gray, E. Wright State University
Jul 31, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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12 Resources
0 Stars
Publicly accessible
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
In curation
12 Resources
0 Stars
In curation
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
3 Resources
0 Stars
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3 Resources
0 Stars
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Utah FORGE: Laboratory Experiments Examining the Effect of Thermal and Mechanical Processes on Hydraulic Transmissivity Evolution
Using laboratory slide-hold-slide experiments, at temperatures from 22 to 200 degrees C, to examine effects of fracture reactivation and quasi-static loading on the evolution of fluid transport properties of simulated fractures in Westerly granite. At all temperatures, the in-plan...
Lockner, D. et al United States Geological Survey
Apr 03, 2023
2 Resources
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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
0 Stars
Publicly accessible
3 Resources
0 Stars
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TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles
This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, w...
Lu, K. and Datla, R. Pyro-E
Oct 01, 2021
4 Resources
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4 Resources
0 Stars
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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
0 Stars
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3 Resources
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Kinetics of Chlorite Dissolution at Elevated Temperatures and CO2 Conditions
Chlorite dissolution kinetics were measured under far from equilibrium conditions using a mixed-flow reactor over temperatures of 100-275 degrees C at pH values of 3.0-5.7 in a background solution matrix of 0.05 m NaCl. Over this temperature range, magnesium was released congruent...
Carroll, S. et al Lawrence Livermore National Laboratory
Jul 01, 2013
1 Resources
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1 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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High-Pressure Combustion and Deflagration-to-Detonation Transition in Ethylene/Nitrous Oxide Mixtures
In this paper, the combustion of nitrous oxide with a simple hydrocarbon, ethylene, at high initial pressures is investigated. A series of experiments were conducted using a stoichiometric C2H4-N2O mixture in a round, smooth-walled tube with initial pressures of 125 to 337 psi. ...
Grubelich, M. Sandia National Laboratories
Nov 01, 2013
1 Resources
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1 Resources
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DCIF (Directional Cooling-Induced Fracturing) Westerly Granite AE Borehole Damage Effect Test (Task 3-0)
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on three rectangular Westerly granite blocks (width=depth=4.0", height=2.0") which were preheated to 200, 400, and 600 degree C to induce damage (microcracks) with varying degrees. Liquid nitrogen was poured...
Nakagawa, S. Lawrence Berkeley National Laboratory
Jan 27, 2022
13 Resources
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13 Resources
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Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems
This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...
Wang, H. et al Oak Ridge National Laboratory
May 17, 2022
3 Resources
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3 Resources
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High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing
High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.
Salehi, S. and Vivas, C. University of Oklahoma
Nov 30, 2021
6 Resources
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6 Resources
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Improved Rare Earth Element Sorption from Simulated Geothermal Brines: Effect of Gassed versus Degassed Brines
A study exploring sorption and stripping characteristics of sorption media when simulated geothermal brines are degassed or not degassed. Experiments were done at 70degC. The brines used in this study were formulated by Tusaar. The two brines used/simulated are labeled 1M and 1C...
Stull, D. Tusaar Corp.
May 24, 2016
2 Resources
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2 Resources
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REE Adsorption Performance with Immobilized Caulobacter Biofilms
This submission includes data collected from experiments on the performance of rare earth adsorption by immobilized bacteria that accompany the FY18 Q2 and Q3 quarter reports. Relevant information from these reports is included in a resource below. The spreadsheet below includes d...
Jiao, Y. and Park, D. Lawrence Livermore National Laboratory
Apr 01, 2018
2 Resources
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2 Resources
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Recovery of Rare Earth Elements from Geothermal Fluids through Bacterial Cell Surface Adsorption
We summarized the FY17 and part of FY18 results of the analysis of the effect of several parameters (e.g., total dissolved solids, specific competing metals, pH, and temperature) on REE recovery from geothermal brine in a manuscript that was submitted to Environmental Science & Te...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jan 01, 2018
2 Resources
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2 Resources
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RANS Simulation ADM of the NREL Phase VI wind turbine modeled as MHK Turbine
Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
In this case study the flow field around and in the wake of the NREL Phase VI wind turbine, modeled is MH...
Javaherchi, T. University of Washington
Jun 08, 2016
3 Resources
0 Stars
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3 Resources
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M3 Wave DMP/APEX WEC Final Technical Report
This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...
Morrow, M. et al M3 Wave
May 31, 2018
1 Resources
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1 Resources
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Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup
Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...
Mohamed, A. et al University of Oklahoma
Apr 22, 2022
10 Resources
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10 Resources
0 Stars
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RANS Simulation VBM of Single Full Scale DOE RM1 MHK Turbine
Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for Reynolds Averaged Navier-Stokes (RANS) simulation of a single full scale DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
In this...
Javaherchi, T. and Aliseda, A. University of Washington
Apr 10, 2013
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
RANS Simulation VBM of Single Lab Scaled DOE RM1 MHK Turbine
Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same po...
Javaherchi, T. et al University of Washington (NNMREC)
Apr 15, 2014
8 Resources
0 Stars
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8 Resources
0 Stars
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Advanced TidGen Power System Material Characterization Program
The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU...
Marnagh, C. and McEntee, J. Ocean Renewable Power Company
Jun 14, 2018
2 Resources
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2 Resources
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RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing
Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CF...
Javaherchi, T. University of Washington
Jun 08, 2016
9 Resources
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Publicly accessible
9 Resources
0 Stars
Publicly accessible