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Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report
This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...
Bunger, A. et al University of Pittsburgh
Dec 22, 2025
1 Resources
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1 Resources
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Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...
Lu, G. et al University of Pittsburgh
Jun 05, 2025
2 Resources
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2 Resources
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Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales
Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel methods for drilling, stimulation, and maintenance, under operating conditions that ...
Walsh, S. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
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1 Resources
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Observation-Based Wind Dataset with Copula-based Bias Correction and Multi-Model Fusion at 23 U.S. Locations
The Observation-Based Wind Dataset provides hourly wind speed data from 2015-2020 at 23 geographically diverse locations across the United States. The dataset includes original physics-based model outputs, bias-corrected model outputs, and an integrated probabilistic wind product ...
Zhang, W. et al National Laboratory of the Rockies (NLR)
Jun 15, 2026
23 Resources
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In progress
23 Resources
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In progress
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
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Publicly accessible
2 Resources
0 Stars
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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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Operational Performance Requirements For Motor Power Sections Used in Geothermal Drilling Based Upon Minimum Specific Energy
Operational performance requirements are needed to support development of specifications for downhole motor power sections to be used for drilling hard rock during geothermal wellbore construction. Theoretical torque specifications are derived based upon a widely-accepted rock-re...
Raymond, D. Sandia National Laboratories
Sep 10, 2014
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 2025 Workshop Presentation
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to esti...
Williams, J. GTC Analytics
Sep 18, 2025
3 Resources
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3 Resources
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Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity October, 2025
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included t...
Williams, J. et al Global Technology Connection, Inc.
Oct 13, 2025
1 Resources
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1 Resources
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Data of High-Temperature Dynamic LCM Testing Setup
Data from high temperature dynamic sealing tests for various fracture widths, at various temperatures (degrees F), with 5 wt.% bentonite-based mud containing various material fiber contents, at 100 to 400 psi differential pressure.
Data from pressure test and evaluation of the dy...
Magzoub, M. et al University of Oklahoma
May 31, 2021
11 Resources
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11 Resources
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Geomechanical Modeling for Thermal Spallation Drilling
Wells for Engineered Geothermal Systems (EGS) typically occur in conditions presenting significant challenges for conventional rotary and percussive drilling technologies: granitic rocks that reduce drilling speeds and cause substantial equipment wear. Thermal spallation drilling,...
Walsh, S. et al Lawrence Livermore National Laboratory
Aug 24, 2011
1 Resources
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1 Resources
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Pressure Sensor and Telemetry Methods for Measurement while Drilling in Geothermal Wells
Project status report as of end of 2011. Key milestones and accomplishments in the year 2011 include:
Proof of feasibility of analog and digital components with their lifetime tested for more than 500 hours at 300 degrees C,
Demonstration of ceramic-based packaging capable of su...
Vert, A. GE Global Research
Jan 01, 2012
1 Resources
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1 Resources
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Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering
Includes six mp4 and one PDF files. The mp4 files show the percolation of ferrofluid in porous media under a magnetic field. The names of the authors are available in the PDF file. The data are from an experimental study performed at the Michigan Technological University. The expe...
Askari, R. and Khurana, M. Michigan Tech
Feb 27, 2021
8 Resources
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8 Resources
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Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
Williams, J. et al Global Technology Connection, Inc.
Jan 21, 2025
3 Resources
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3 Resources
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Utah FORGE: Seismic and Other Shapefiles from the Roosevelt Hot Springs Area
Three shapefiles in this submission show the position of proposed seismic line surveys. The mid-crustal velocity anomaly file shows the extent of an anomalously low P-wave velocity zone in the subsurface. Two other files show the extent of known hydrothermal systems in the Rooseve...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 22, 2016
7 Resources
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7 Resources
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Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE Final Report
This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project obje...
Ghassemi, A. The University of Oklahoma
Jun 30, 2025
1 Resources
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1 Resources
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Proposed Drill Sites
Proposed drill sites for intermediate depth temperature gradient holes and/or deep resource confirmation wells. Temperature gradient contours based on shallow TG program and faults interpreted from seismic reflection survey are shown, as are two faults interpreted by seismic contr...
Lane, M. Oski Energy LLC
Jun 28, 2013
2 Resources
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2 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Folsom, M. et al Ormat Technologies, Inc.
Nov 09, 2016
11 Resources
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11 Resources
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Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration
The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...
Shervais, J. et al Utah State University
Feb 21, 2014
1 Resources
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1 Resources
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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
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4 Resources
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TEAMER: OpenFAST Modeling and Simulation of the Aquantis AQ10 Marine Hydrokinetic Turbine
This dataset was developed under TEAMER technical support (CRD-21-17763-0) to model the Aquantis AQ10, a spar buoy-based marine hydrokinetic turbine, using the OpenFAST simulation framework. The project transitioned modeling from the proprietary Tidal Bladed tool to OpenFAST to en...
Swales, H. and Tran, T. Aquantis, Inc.
Jul 31, 2025
3 Resources
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3 Resources
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Stanford Thermal Earth Model for the Conterminous United States
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Aljubran, M. and Horne, R. Stanford University
Mar 14, 2024
9 Resources
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9 Resources
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Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Schroeder, J. et al Argonne National Laboratory
Aug 31, 2013
11 Resources
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11 Resources
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Stability of Elastomers Subjected to Geothermal Well-Like Conditions
The aim of this study is to understand how commercially available elastomers perform under geothermal well-like conditions and make recommendations to the community based on these results. This poster highlights the mechanical performance of several elastomers (including EPDM, Vit...
Redline, E. et al Sandia National Laboratories
Aug 10, 2014
1 Resources
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1 Resources
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Preliminary Drill Sites
Preliminary locations for intermediate depth temperature gradient holes and/or resource confirmation wells based on compilation of geological, geophysical and geochemical data prior to carrying out the DOE-funded reflection seismic survey.
Lane, M. Oski Energy LLC
Jun 28, 2013
2 Resources
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2 Resources
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