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Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Garapati, N. et al West Virginia University
Dec 20, 2019
13 Resources
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13 Resources
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Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications
The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 01, 2011
2 Resources
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2 Resources
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OM300 Direction Drilling Module
OM300 Geothermal Direction Drilling Navigation Tool A prototype directional drilling navigation tool capable of high temperature operation in geothermal drilling with:
Accuracies of 0.1 degree Inclination and Tool Face, 0.5 degree Azimuth
Environmental Ruggedness typical of existi...
MacGugan, D. Honeywell International, Inc.
Aug 22, 2013
3 Resources
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3 Resources
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Raw Pressure Data from Observation Wells at Brady's Hot Springs
This .csv files contain the raw water pressure data from three observation wells during pumping tests performed in the Spring of 2016. Included is a "read me" file explaining the details of where and how the data were collected.
Lim, D. University of Wisconsin
Mar 13, 2016
6 Resources
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6 Resources
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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data
These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.
Coleman, T. California State University
Feb 27, 2015
5 Resources
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5 Resources
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Nevada Play Fairway Steptoe Valley Geodatabase and Modeling Data
This package contains data and metadata for the 3d thermal model, well lithology logs, gravity grids and depth to basement inversions, play fairway modelling, and ArcGIS geodatabase resources.
This project focused on defining geothermal play fairways and development of a detailed...
Faulds, J. Nevada Bureau of Mines and Geology
Aug 25, 2018
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1 Resources
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Matlab Scripts and Sample Data Associated with Water Resources Research Article
Scripts and data acquired at the Mirror Lake Research Site, cited by the article submitted to Water Resources Research:
Distributed Acoustic Sensing (DAS) as a Distributed Hydraulic Sensor in Fractured Bedrock
M. W. Becker(1), T. I. Coleman(2), and C. C. Ciervo(1)
1 California St...
Becker, M. and Coleman, T. California State University
Jul 18, 2015
2 Resources
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2 Resources
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Geothermal Play-Fairway Analysis of Washington State Prospects: Final Report
This package includes the final technical report for the Play-Fairway project in Washington State. It includes all activities and reporting from phases 1, 2, and 3. The primary goal of this study is to develop a suite of tools and methods that help identify a ?fairway? where the t...
Steely, A. et al Washington Geological Survey
Sep 30, 2021
1 Resources
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Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Faulds, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
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3 Resources
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Utah FORGE: Phase 3A Year 1 Annual Report for 2020
This is the Utah FORGE annual report for Phase 3A year 1, which was completed on December 28th, 2020. This report includes site infrastructure, site operations, seismic monitoring, a conceptual geological model, outreach, and communications for the Utah FORGE project during Phase ...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Dec 28, 2020
1 Resources
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1 Resources
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Utah FORGE 1-2409: Zonal Isolation Solution for Geothermal Wells Workshop Presentation
This is a presentation on the Zonal Isolation Solution for Geothermal Wells project by PetroQuip Energy Services, presented by VP of operations Robert Coon. The project's objective was to design and develop a multi-stage system for zonally isolating fluids inside and outside of g...
Coon, R. et al PetroQuip Energy Services
Sep 08, 2023
1 Resources
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1 Resources
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Utah FORGE 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2024 Annual Workshop Presentation
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Ghassemi, A. and Jeffery, R. Energy and Geoscience Institute at the University of Utah
Sep 02, 2024
1 Resources
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1 Resources
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Utah FORGE 1-2409: PetroQuip Energy Services Zonal Isolation Solution for Geothermal Wells 2024 Annual Workshop Presentation
This is a presentation on the Zonal Isolation Solution for Geothermal Wells by PetroQuip Energy Services, presented by Robert Coon. This video slide presentation discusses the proposed design and development of a multi-stage system consisting of an Open-Hole Packer (OHP), a Locki...
Coon, R. and Long, R. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 Resources
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1 Resources
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Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution 2024 Annual Workshop Presentation
This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution by Rice University, presented by Jonathan Ajo-Franklin. This video slide presentation discusses the development of an end-to-end fiber-optic sensing approach for EGS to track the (1) initial zo...
Ajo-Franklin, J. et al Energy and Geoscience Institute at the University of Utah
Aug 13, 2024
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1 Resources
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Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures ...
Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah
Sep 13, 2024
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Utah FORGE 8-3637: Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency 2024 Annual Workshop Presentation
This is a presentation on the Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency by Texas Tech University, presented by Smith Leggett. This video slide presentation discusses the ID squared technical objectives to develop and integrate diagnostic tools to deter...
Leggett, S. Energy and Geoscience Institute at the University of Utah
Sep 14, 2024
1 Resources
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1 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
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Utah FORGE 2-2446: Report on Laboratory Block Experiments with Six Different Combinations of Stresses and Rock Fabrics
This report documents a series of block-scale hydraulic fracturing experiments, simulating Utah FORGE conditions to investigate how different combinations of in situ stress regimes, well orientations, and thermal stress conditions influence fracture initiation and propagation. The...
Bunger, A. and Lu, Y. Lawrence Livermore National Laboratory
Jan 30, 2025
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Utah FORGE: LBNL Reports on VEMP Electromagnetic Data Collection and Processing 2024
This archive contains reports related to Vertical Electromagnetic Profiling (VEMP) tool data collection and processing at Utah FORGE in 2024. The first report describes LBNL's effort to collect electromagnetic geophysical data with the tool in well 78-32B and a downhole electrode ...
Alumbaugh, D. et al Los Alamos National Laboratory
Mar 02, 2025
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Smith, J. Cornell University
Oct 29, 2019
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6 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Chai, C. et al Oak Ridge National Laboratory
Apr 20, 2020
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7 Resources
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Hawaii Play Fairway Analysis: Noble Gas Raw Data for Hawaii, Maui, Oahu, Kauai, and Lanai islands
Noble gas raw data for the Hawaiian islands of Big Island, Maui, Oahu, Lanai, and Kauai. Based on results from prior phases of the Hawaii Play Fairway Analysis, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, Oahu, and Kauai for sampling of dissolved noble ga...
Ferguson, C. and Lautze, N. University of Hawaii
Oct 06, 2020
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Geothermal Exploration Cost and Time Metric
The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of RD&D funding on the cost and time required for geothermal exploration activities. The development of this cost and time metric included collecting cost and time da...
Jenne, S. et al National Renewable Energy Laboratory
Jan 01, 2013
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Geothermal Exploration Cost and Time
This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the ...
Jenne, S. National Renewable Energy Laboratory
Feb 13, 2013
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1 Resources
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