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Utah FORGE: Updated FMI Fracture Log from Well 16A(78)-32
This dataset consists of an Excel spreadsheet detailing the fracture picks from a reinterpretation of the formation micro-imaging (FMI) log from Utah FORGE well 16A(78)-32. The provided information details fracture location, geometry, and type. Also included here is a link to the...
Handwerger, D. Energy and Geoscience Institute at the University of Utah
Apr 17, 2024
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 56-32 Drilling Data and Logs
This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory, sonic, array induction/spectral density/dual spaced neutron/gamma ray/caliper, spectral GR/temperature, and Gardner ...
Bristol, J. et al Energy and Geoscience Institute at the University of Utah
Mar 19, 2021
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
Fallon FORGE: Well Data, Geophysical Data, and Geologic Maps
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...
Blankenship, D. Sandia National Laboratories
Mar 31, 2016
54 Resources
0 Stars
Publicly accessible
54 Resources
0 Stars
Publicly accessible
Energy Return On Investment of Engineered Geothermal Systems Data
The project provides an updated Energy Return on Investment (EROI) for Enhanced Geothermal Systems (EGS). Results incorporate Argonne National Laboratory's Life Cycle Assessment and base case assumptions consistent with other projects in the Analysis subprogram.
EROI is a ratio o...
Mansure, C. Arthur Mansure
Jan 01, 2012
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 16B(78)-32 Pressure-Temperature Logs March April 2024
This dataset consists of Baker Hughes Pressure-Temperature gauge readings on fiber optics in Utah FORGE Well 16B(78)-32. This gauge is at a measured depth of 7,056.67 feet. The true vertical depth can be determined from the well survey data, which is linked below. The data consis...
McLennan, J. and Hughes, B. Energy and Geoscience Institute at the University of Utah
Apr 20, 2024
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Exploration Best Practices on OpenEI
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Young, K. National Renewable Energy Laboratory
Sep 20, 2013
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32
This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files
This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2C.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Nov 17, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Fallon FORGE: Geophysics and Geochemistry
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...
Blankenship, D. Sandia National Laboratories
May 23, 2016
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Siler, D. and Pepin, J. United States Geological Survey
Oct 01, 2021
4 Resources
0 Stars
Publicly accessible
4 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