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Utah FORGE: InSAR Data from 2020
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Dec 24, 2020
9 Resources
0 Stars
Curated
9 Resources
0 Stars
Curated
Utah FORGE: InSAR Data from 2022
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2022
9 Resources
0 Stars
Curated
9 Resources
0 Stars
Curated
Analysis of Geothermal Resources in Three Texas Counties
This project updates the geothermal resources beneath our oil and gas fields, as part of the research for the Texas GEO project. This report "Analysis of Geothermal Resources in Three Texas Counties" (October 2020) improves on previous mapping of the Texas resources for the counti...
Richards, M. and Batir, J. Southern Methodist University Huffington Department of Earth Sciences
Oct 30, 2020
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
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
Curated
3 Resources
0 Stars
Curated
Seismic Survey 2016 Data at Crescent Valley, Nevada
In September 2016, 989 vertical-component seismic instruments were deployed for 75 hours at the Crescent Valley greenfield geothermal play area in Nevada. Data were recorded 12/9/16 12/15/16. Data are stored in individual files in one-minute increments in SEGD formats. See the met...
Lord, N. et al University of Wisconsin Madison
Dec 04, 2023
6 Resources
0 Stars
Curated
6 Resources
0 Stars
Curated
Pilgrim Hot Springs: GEOPHIRES Inputs and Outputs for Direct-Use Geothermal District Heating and Cooling
This dataset includes files for a techno-economic analysis conducted using the GEOPHIRES simulator to examine the feasibility of expanding a larger district heating site in a remote location: Pilgrim Hot Springs, Alaska. Files included here are GEOPHIRES inputs and outputs for fiv...
Pauling, H. et al National Renewable Energy Laboratory
Mar 21, 2024
21 Resources
0 Stars
Curated
21 Resources
0 Stars
Curated
Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory
Mar 09, 2018
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
SMP Preparation, Programming, and Characterization
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Salehi, S. et al University of Oklahoma
Oct 01, 2021
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Cornell Ithaca Campus heat use data for a model year
Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an ho...
Beyers, S. and Gustafson, J. Cornell University
Nov 13, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible