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Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
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
Publicly accessible
12 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
Publicly accessible
Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Marone, C. Pennsylvania State University
May 05, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model:
brady_som_output.gri, brady_som_output.grd, brady_som_output.*
desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Moraga, J. et al Colorado School of Mines
Sep 01, 2020
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Sentinel-1 Input Data for PSInSAR Analysis
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a l...
Moraga, J. Colorado School of Mines
Apr 29, 2021
73 Resources
0 Stars
Curated
73 Resources
0 Stars
Curated
Geothermal Case Studies on OpenEI
This submission contains links to Geothermal Areas on OpenEI that were completed as part of an effort to gather clean, unbiased information on which to build geothermal drilling prospects. The specific areas that were part of this focused effort, or *case studies*, are linked ind...
Young, K. National Renewable Energy Laboratory
Sep 30, 2014
19 Resources
0 Stars
Publicly accessible
19 Resources
0 Stars
Publicly accessible
Geothermal Mineral Alterations in Brady and Desert Peak
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas.
This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.
Moraga, J. Colorado School of Mines
May 15, 2021
22 Resources
0 Stars
Publicly accessible
22 Resources
0 Stars
Publicly accessible
Geothermal Development and the Use of Categorical Exclusions Under NEPA
This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we:
Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Economic Impact of Permitting Timelines on Produced Geothermal Power
Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...
Neupane, G. and Adhikari, B. Idaho National Laboratory
Feb 15, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
2019 Geothermal Market Report Fact Sheet
The 2020 U.S. Geothermal Power Production and District Heating Market Report is being developed by the National Renewable Energy Laboratory and Geothermal Rising, previously Geothermal Resources Council (GRC), with support from the Geothermal Technologies Office of the U.S. Depart...
Robins, J. et al National Renewable Energy Laboratory
Oct 01, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Characterizing favourable structural settings of geothermal reservoirs in extensional regions: Enhanced exploration strategies
Exploration of geothermal systems is commonly hampered by the risk of unsuccessful drilling. A major problem in selecting well sites is that the favorable settings of known systems are generally not adequately characterized. This is particularly important in amagmatic regions, wh...
Faulds, J. et al University of Nevada
Nov 30, 2010
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Advanced Geothermal Drilling and Logging Technologies
The objective of advanced drilling and logging technologies is to promote ways and means to reduce the cost of geothermal drilling through an integrated effort which involves developing an understanding of geothermal drilling and logging needs, elucidating best practices, and fost...
Raymond, D. et al Sandia National Laboratories
Dec 15, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Rare Earth Element Concentrations in Geothermal Wells at the Puna Geothermal Field, Hawaii
Rare earth element concentrations in the geothermal wells at the Puna geothermal field, Hawaii. Samples taken from geothermal wells KS-5, KS-6W, KS-9W, KS-14E, and KS-16N. Includes pH and concentrations for Cerium, Dysprosium, Erbium, Europium, Gadolinium, Holmium, Lanthanum, Lute...
Fowler, A. and Zierenberg, R. University of California
Dec 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Assessing Low-Temperature Geothermal Play Types: Relevant Data and Play Fairway Analysis Methods
This data catalog contains information on low temperature geothermal play types. The U.S. Department of Energy (DOE) Geothermal Technologies Office (GTO) supports the Geothermal Heating and Cooling Geospatial Datasets and Analysis project, conducted by the National Renewable Energ...
Davalos, E. et al National Renewable Energy Laboratory
Jan 01, 2023
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Salton Sea Geothermal Development Nontechnical Barriers to Entry Analysis and Perspectives
The report included in this submission details the nontechnical barriers to entry for development of geothermal resources in the Salton Sea. The Salton Sea provides an economically viable opportunity for replacing the energy imported by California which makes up 25 percent of Cali...
Goodman, D. et al Pacific Northwest National Laboratory
Jun 28, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Levine, A. et al National Renewable Energy Laboratory
Mar 10, 2022
19 Resources
0 Stars
Publicly accessible
19 Resources
0 Stars
Publicly accessible
Community Geothermal: Connecticut Workforce Needs Assessment Report and Data
Included here is a geothermal industry workforce needs assessment report for Connecticut. As part of the DOE-funded Community Geothermal Heating and Cooling Design and Deployment grant, Northeast Energy Efficiency Partnership (NEEP) conducted several online surveys to gain a bett...
Macpherson, C. et al Connecticut Department of Energy and Environmental Protection (CT DEEP)
Jan 22, 2024
1 Resources
0 Stars
Curated
1 Resources
0 Stars
Curated
GeoVision Barriers Taskforce
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort.
Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated