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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
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Streig, A. and Wells, R. Portland State University
Dec 04, 2018
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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WISE-CASING: Frequency Domain EM Data from Cymric Oil Field, CA
Cymric oil field frequency domain electromagnetic (FEM) data with two parts of data labeled Part 1 and Part 2. Part 1 utilizes an electrical source line parallel to the receiver line, while Part 2 utilizes an electrical source line at a 75 deg angle to the receiver line. Data are ...
Wang, J. et al Lawrence Berkeley National Laboratory
Apr 30, 2019
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
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Utah FORGE: Earth Model Mesh Data for Selected Surfaces
This submission contains a number of data files with vertices of meshed/interpolated surfaces used in the Phase 2B earth model. Examples include land surface (based on 10-meter DEM), the granitoid-basin fill contact, several faults, and also interpolated temperature isosurfaces f...
Podgorney, R. Idaho National Laboratory
Dec 07, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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Seismic Survey 2016 Metadata at San Emidio, Nevada
1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in o...
Lord, N. et al University of Wisconsin
Dec 05, 2016
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Damico, J. University of Illinois
Dec 31, 2018
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Damico, J. University of Illinois
Dec 31, 2018
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible