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Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior Workshop Presentation
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...
Kroll, K. et al Lawrence Livermore National Laboratory
Sep 08, 2023
1 Resources
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1 Resources
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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
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11 Resources
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Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus
The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia...
Moore, J. et al West Virginia University
Oct 23, 2018
5 Resources
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5 Resources
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Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report
This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...
Gritto, R. et al Array Information Technology
Sep 01, 2018
3 Resources
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3 Resources
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Tularosa Basin Play Fairway Analysis: Methodology Flow Charts
These images show the comprehensive methodology used for creation of a Play Fairway Analysis to explore the geothermal resource potential of the Tularosa Basin, New Mexico. The deterministic methodology was originated by the petroleum industry, but was custom-modified to function ...
Brandt, A. University of Utah
Nov 15, 2015
3 Resources
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3 Resources
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Ground Source Heat Pump Parameter Survey
The purpose of this report is to investigate the effects of various parameters in a horizontal loop geothermal heat pump system. The obtained values include the temperature distribution over the entire system as well as the exiting temperature and bulk heat rate of the fluid. The ...
Gray, E. Wright State University
Jul 31, 2013
1 Resources
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1 Resources
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Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...
Smith, J. and Beckers, K. Cornell University
Oct 29, 2019
10 Resources
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10 Resources
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Publicly accessible
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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Tularosa Basin Play Fairway: Weights of Evidence Models
These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...
Brandt, A. University of Utah
Dec 01, 2015
2 Resources
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2 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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EGS Collab Experiment 2: 4100 Foot Level Elastic Property Data
Static and dynamic elastic properties (Young's modulus, Shear Modulus, P-wave Modulus, and Poisson's Ratio) of amphibolites and rhyolites from the TV4100 and TH4100 boreholes at the Sanford Underground Research Laboratory (SURF). Elastic properties include Young's modulus, Poisson...
Jahnke, B. et al Lawrence Berkeley National Laboratory
Dec 18, 2020
4 Resources
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4 Resources
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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Williams, J. Energy and Geoscience Institute at the University of Utah
Sep 17, 2024
1 Resources
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1 Resources
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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...
Kelley, M. and Bunger, A. Battelle Memorial Institute
Sep 08, 2023
1 Resources
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1 Resources
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Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...
Alumbaugh, D. Energy and Geoscience Institute at the University of Utah
Aug 25, 2024
1 Resources
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1 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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Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Bunger, A. et al Battelle Memorial Institute
Dec 13, 2022
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4 Resources
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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...
Bunger, A. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 Resources
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1 Resources
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...
White, M. et al Pacific Northwest National Laboratory
Jun 07, 2022
31 Resources
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31 Resources
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Utah FORGE 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Vasco, D. et al Lawrence Berkeley National Laboratory
Apr 29, 2022
4 Resources
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4 Resources
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Utah FORGE: 2024 Discrete Fracture Network Model Data
The Utah FORGE 2024 Discrete Fracture Network (DFN) Model dataset provides a set of files representing discrete fracture network modeling for the FORGE site near Milford, Utah. The dataset includes four distinct DFN model file sets, each corresponding to different time frames and ...
Finnila, A. and Jones, C. Energy and Geoscience Institute at the University of Utah
Sep 08, 2024
5 Resources
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5 Resources
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MT Survey on the Glass Buttes Geothermal Exploration Project in Lake County, Oregon
Zonge Geosciences, Inc. performed a magnetotelluric (MT) survey for the Glass Buttes Project at the request of Ormat Technologies Inc. during the period of 7 October 2010 to 8 November 2010. This report provides the deep electromagnetic data and methods that were used to assist O...
Akerley, J. Ormat Nevada Inc
Nov 08, 2010
1 Resources
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1 Resources
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Summary of Cement Formulations Tested by BNL for Self-Healing Ability Tests Conditions and Data
A table of cement formulations tested by Brookhaven National Laboratory in 2016-2017 in the frame of the "Self-healing and Re-Adhering Cements with Improved Toughness at Casing and Formation Interfaces for Geothermal Wells" project.
Sugama, T. Brookhaven National Laboratory
Sep 27, 2017
2 Resources
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2 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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Deep Direct-Use Feasibility Study Estimation of Reservoir Properties for the Tuscarora Sandstone
This dataset contains black-and-white photographic images of individual core segments from well Preston 119 and photomicrographs taken of petrographic thin sections from well Clay 513. Minipermeameter measurement results of 2,260 samples for fracture and matrix permeability on cor...
McDowell, R. West Virginia University
Dec 19, 2019
5 Resources
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5 Resources
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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
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2 Resources
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