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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
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
Publicly accessible
3 Resources
0 Stars
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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
13 Resources
0 Stars
In curation
13 Resources
0 Stars
In curation
INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
WEC Controls Optimization Final Report
The over-arching project objective is to fully develop and validate optimal controls frameworks that can subsequently be applied widely to different WEC devices and concepts. Optimal controls of WEC devices represent a fundamental building block for WEC designers that must be cons...
Previsic, M. and Karthikeyan, A. Re Vision Consulting
Aug 26, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
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
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
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
Publicly accessible
Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation.
A preliminary 3D velocity model for the larg...
Gritto, R. Array Information Technology
Jan 30, 2023
1 Resources
0 Stars
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1 Resources
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Publicly accessible
Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Vasco, D. and Chan, C. Array Information Technology
Apr 30, 2022
2 Resources
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Publicly accessible
2 Resources
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CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations
This submission contains datasets and a final manuscript associated with a project simulating carbon dioxide push-pull into a conjugate fault system modeled after Dixie Valley-
sensitivity analysis of significant parameters and uncertainty prediction by data-worth analysis.
Datas...
Oldenburg, C. et al Lawrence Berkeley National Laboratory
Jul 20, 2017
2 Resources
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2 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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Compatibility Study of Nanofiltration and Reverse Osmosis Membranes with 1 Cyclohexylpiperidenium Bicarbonate Solutions
The switchable polarity solvent forward osmosis (SPS FO) desalination process requires use of a polishing filtration step to remove trace quantities of draw solution from the product water stream. Selected nanofiltration (NF) and reverse osmosis (RO) membranes were tested for thei...
Adhikari, B. et al Idaho National Laboratory
Oct 01, 2015
2 Resources
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2 Resources
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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
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12 Resources
0 Stars
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Proved Natural Gas Reserves: 2010
CIA: World Factbook assessment of proved reserves
of natural gas in cubic meters (cu m). Proved reserves are those
quantities of natural gas, which, by analysis of geological and
engineering data, can be estimated with a high degree of confidence to
be commercially recov...
Weers, J. and (CIA), C. National Renewable Energy Laboratory
Dec 31, 2009
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Proved Oil Reserves: 2010
CIA: World Factbook assessment of proved reserves of crude oil in barrels
(bbl). Proved reserves are those quantities of petroleum which, by
analysis of geological and engineering data, can be estimated with a
high degree of confidence to be commercially recoverable from a ...
Weers, J. and (CIA), C. National Renewable Energy Laboratory
Dec 31, 2009
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
M3 Wave DMP/APEX WEC Downselection Report
This downselect report follows the progression from initial concept pool to final concepts moving forward to tank testing for the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX." Included is a brief discussion of anticipated impacts of the 3 final...
Morrow, M. and Delos-Reyes, M. M3 Wave
Aug 01, 2017
1 Resources
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1 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Chai, C. et al Oak Ridge National Laboratory
Apr 20, 2020
7 Resources
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7 Resources
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Utah FORGE: LBNL Status Report on the VEMP Tool 2022
This report describes the current status of the Vertical Electromagnetic Profiling, or VEMP tool, that is on loan to Lawrence Berkeley National Lab (LBNL) from Geothermal Energy Research and Development Co., Ltd. (GERD), Japan. The report describes the initial inspection of the to...
Wilt, M. et al Lawrence Berkeley National Laboratory
Jun 24, 2022
1 Resources
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1 Resources
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WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada
For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...
Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory
Apr 30, 2019
7 Resources
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7 Resources
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Instructions for Downloading Brady Seismic Network Raw Waveform Data from NCEDC
Links and instructions for downloading Brady's triggered seismic network waveform data from the Northern California Earthquake Data Center (NCEDC). Data from 7/5/10-1/18/13 presently available.
Foxall, W. University of Wisconsin
Mar 31, 2015
1 Resources
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1 Resources
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Synthetic Lithium Prize Brine for Finalists of the Geothermal Lithium Extraction Prize Competition
The Department of Energy (DOE), Geothermal Technologies Office (GTO) launched a multi-phase funding program to advance technologies for extraction of lithium from geothermal brines. This initiative, known as American-Made Geothermal Lithium Extraction Prize (GLEP), had objectives ...
Neupane, G. and Smith, R. Idaho National Laboratory
Sep 29, 2023
1 Resources
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1 Resources
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Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations
This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...
Templeton, D. et al Lawrence Livermore National Laboratory
Apr 18, 2014
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network Data
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. Golder Associates Inc.
Jun 01, 2021
3 Resources
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3 Resources
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EGS Collab Experiment 1: Common Discrete Fracture Network
This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...
Schwering, P. et al Sandia National Laboratories
Sep 18, 2019
4 Resources
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4 Resources
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NSW Australia Electricity Network Bus and Transmission Line Data: Snapshot from Mar 2011
[Moxy Knowledge Management](http://www.moxy.com.au/ "Moxy website") provides a general instance of the New South Wales (NSW), Australia, electricity network and an assessment of the robustness of the NSW electricity grid (e.g.,the results of several different outage scenarios). De...
Hallett, K. and Management, M. National Renewable Energy Laboratory
Dec 31, 2001
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation