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WHOLESCALE: Microseismic Event Catalog for San Emidio, Nevada 2022
This submission includes a high-precision seismic event catalog estimated from seismic data collected at San Emidio, Nevada from April to May 2022. The catalog lists the precise time, location, and magnitude of microseismic events recorded during this period. Both the seismic dat...
Guo, H. et al University of Wisconsin Madison
Apr 20, 2024
3 Resources
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3 Resources
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EGS Collab Experiment 1: Tracer data tests
This file contains the first set of tracer data for the EGS Collab testbed. The first set of tracer tests were conducted during October-November, 2018. We have included tracer data for C-dots, chloride, fluorescein, and rhodamine-B. The details about the tracer test can be found i...
Neupane, G. et al Idaho National Laboratory
Apr 16, 2019
3 Resources
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3 Resources
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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
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3 Resources
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Utah FORGE: Seismic DAS and Geophone Borehole Data Processing and 3D Imaging of Vp/Vs Ratio in the 2024 Stimulated Reservoir
This dataset includes a final report and a 3D velocity model derived from seismic DAS and geophone borehole data collected during the April 2024 stimulation of the reservoir at Utah FORGE. The report details the processing of over 50,000 P and S-wave travel times used in a tomogra...
Gritto, R. and Jarpe, S. EMR Solutions and Technology
Mar 17, 2025
2 Resources
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2 Resources
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Fallon FORGE: Vs30m Seismic Velocity
Time-averaged shear-wave velocity to 30 m depth about the Fallon, NV FORGE site.
Blankenship, D. and Kaven, J. Sandia National Laboratories
Mar 12, 2018
3 Resources
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3 Resources
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Updated Overpressures and Permeability Values for PNNL's StimuFrac Fluid
A corrigendum was submitted to the journal of Geothermics on our article "Environmentally friendly, rheoreversible, hydraulic-fracturing fluids for enhanced geothermal systems" Shao et al Geothermics 58 (2015) 22-31.
In the original article some permeability values were underesti...
Shao, H. et al Pacific Northwest National Laboratory
Apr 06, 2016
1 Resources
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1 Resources
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Utah FORGE 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth
This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
Jan 30, 2025
3 Resources
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3 Resources
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Spatially Referenced Geodatabase for Coso Geothermal Area
Mineral, Temperature, Gravity, and Fault Density maps in the Coso Geothermal Field in California.
Demir, E. et al Colorado School of Mines
Dec 01, 2022
14 Resources
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14 Resources
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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
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3 Resources
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Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone
This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic bore...
Um, E. et al Lawrence Berkeley National Laboratory
Nov 15, 2022
4 Resources
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4 Resources
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Utah FORGE: Well 16A(78)-32 Stage 1 Pressure Falloff Analysis
This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic...
Kazemi, H. et al Colorado School of Mines
Aug 04, 2022
1 Resources
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1 Resources
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WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Coaxial Cable
The coaxial-cable experiment conducted in the lab was with 80 m coaxial cable( RG-85). This experiment compares the TDR response between damaged and undamaged cable. For the damaged cable, the damaged section is in the middle (40 m). The amplitude of the data is mV with time (us).
Wu, Y. and Wang, J. Lawrence Berkeley National Laboratory
Mar 15, 2018
9 Resources
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9 Resources
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Fallon FORGE: Thermal-Hydrological-Mechanical Models
Archive contains thermal-mechanical simulation input/output files. Included are files which fall into the following categories:
( 1 ) Spreadsheets with various input parameter calculations
( 2 ) Final Simulation Inputs
( 3 ) Native-State Thermal-Hydrological Model Input File Fol...
Blankenship, D. and Sonnenthal, E. Sandia National Laboratories
Mar 12, 2018
2 Resources
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2 Resources
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Feasibility of a Deep Direct-Use Geothermal System at the University of Illinois Urbana-Champaign
Paper authored by Stumpf et al. for the 2018 Geothermal Resources Council Annual Meeting held in Reno, NV USA. Included with the paper is the Microsoft PowerPoint presentation made at the GRC meeting and data tables associated with some of the figures.
Stumpf, A. et al University of Illinois
Dec 31, 2018
6 Resources
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6 Resources
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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
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3 Resources
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EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS)
Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...
Rodriguez Tribaldos, V. and Hopp, C. Lawrence Berkeley National Laboratory
May 28, 2024
2 Resources
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2 Resources
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Effective Elastic and Neutron Capture Cross Section Calculations Corresponding to Simulated Fluid Properties from CO2 Push-Pull Simulations
The submission contains a .xls files consisting of 10 excel sheets, which contain combined list of pressure, saturation, salinity, temperature profiles from the simulation of CO2 push-pull using Brady reservoir model and the corresponding effective compressional and shear velocity...
Chugunov, N. and Altundas, B. Lawrence Berkeley National Laboratory
Mar 07, 2018
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Logs
This dataset contains all well logs from Utah FORGE well 16A(78)-32. This includes the mud log, Sanvean Technologies logs, and Schlumberger logs. Please see the file descriptions below for information about each log.
Gilmour, B. et al Energy and Geoscience Institute at the University of Utah
Mar 08, 2021
7 Resources
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7 Resources
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Ground Source Heat Pump Screening Tool and Related Resources
This archive contains both a link to Oak Ridge National Laboratory's Ground Source Heat Pump (GSHP) Screening Tool and related resources documenting its development, technical features, and applications. The web-based screening tool is a techno-economic analysis resource designed ...
Liu, X. and Anand, J. Oak Ridge National Laboratory
Dec 30, 2024
2 Resources
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2 Resources
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Literature Data on Foam Fracturing Fluid
At the beginning of this project, the Temple team spent significant effort to collect data relevant to foam fracturing. More than 40 articles/reports were found in the open literature that reported the properties of aqueous foams under various testing conditions. The foam properti...
Thakor, V. et al Temple University
Nov 08, 2021
2 Resources
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2 Resources
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Utah FORGE: Data for 3-D Model Development Lithology, Temperature, Pressure, and Stress
This submission comprises two downloadable .zip archives. Each archive contains spreadsheets with 3-D data and a .txt document describing the data. The Mesh Files .zip download contains data regarding the lithologic contacts of the granitoid and overlying sedimentary basin fill. T...
Podgorney, R. Idaho National Laboratory
Mar 17, 2020
2 Resources
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2 Resources
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Resource Analysis for Deep Direct-Use Feasibility Study in East Texas
The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...
Richards, M. et al Southern Methodist University
Jun 28, 2018
13 Resources
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13 Resources
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STRESSINVERSE Software for Stress Inversion
The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...
Gritto, R. Array Information Technology
Oct 31, 2018
1 Resources
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1 Resources
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EGS-Collab Experiment 1: Time-lapse ERT Data and E4D Inversion Files for 10-24-2018 through 11-07-2018 Flow Test
This data submission includes the raw time-lapse ERT (electrical resistivity tomography) monitoring data, flow system data, operator logs, E4D (https://e4d.pnnl.gov) inversion files, and metadata necessary to reproduce the 4D ERT inversion for the Oct. 24 through Nov. 7 2018 post-...
Johnson, T. Pacific Northwest National Laboratory
Jul 30, 2021
5 Resources
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5 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
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