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Utah FORGE 2-2446: Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity 2024 Annual Workshop Presentation

This is a presentation on Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity by Lawrence Livermore National Laboratory, presented by Matteo Cusini. The video discusses the combination of high-fidelity simulations and true-triaxial block fracturing tests...

Cusini, M. et al Energy and Geoscience Institute at the University of Utah

Aug 26, 2024
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Community Geothermal: Subsurface and Seismic Interpretations Carbondale, CO

This report, developed as part of the Community Geothermal Heating and Cooling Design and Deployment initiative, presents subsurface and seismic interpretations for Carbondale and the surrounding Roaring Fork Valley. The analysis incorporates historical well data, seismic data, ge...

Marlin, D. Clean Energy Economy for the Region (CLEER)

Sep 29, 2024
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Generalized Displacement Correlation Method for Estimating Stress Intensity Factors

This paper presents a generalized form of the displacement correlation method (the GDC method), which can use any linear or quadratic finite element type with homogeneous meshing without local refinement. These two features are critical for modeling dynamic fracture propagation pr...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2012
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Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...

Vasco, D. et al Lawrence Berkeley National Laboratory

Apr 28, 2025
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ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...

Elbert, S. et al Pacific Northwest National Laboratory

Aug 05, 2024
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Poroelastic References

This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porou...

Morency, C. Lawrence Livermore National Laboratory

Dec 12, 2014
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Investigation of Stimulation-Response Relationships for Complex Fracture Systems in Enhanced Geothermal Reservoirs

Hydraulic fracturing is currently the primary method for stimulating low-permeability geothermal reservoirs and creating Enhanced (or Engineered) Geothermal Systems (EGS) with improved permeability and heat production efficiency. Complex natural fracture systems usually exist in ...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2011
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Utah FORGE 5-2557: Final Report and Presentation for the Role of Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes for Enhanced Geothermal Systems

This contains a final technical report and closeout presentation recording summarizing the results from Utah FORGE Project 5-2557 on the role of fluid pressure and temperature in fracture mechanics and coupled thermo-hydro-mechanical-chemical (THMC) processes relevant to enhanced ...

Pyrak-Nolte, L. Purdue University

Nov 30, 2025
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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
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...

Tripp, C. et al National Renewable Energy Laboratory

Dec 30, 2022
9 Resources
2 Stars
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...

Ayyanar, R. et al Arizona State University

Feb 01, 2025
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EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...

Guglielmi, Y. Lawrence Berkeley National Laboratory

Sep 24, 2020
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Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...

Brown, S. and Smith, C. Nevada Bureau of Mines and Geology

Jun 30, 2022
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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
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EGS Collab Experiment 2: Co-Injection Sewer Camera Survey Videos

On April 21, 2022, sewer camera surveys were conducted in boreholes TN and TL as part of Experiment 2 of the EGS Collab project. These surveys were performed during fluid injection into three zones in borehole TC to identify the depths of active fracture intersections. The goal wa...

Hopp, C. et al Lawrence Berkeley National Laboratory

May 20, 2025
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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
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...

Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)

May 04, 2021
8 Resources
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Utah FORGE 5-2419: Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants 2024 Annual Workshop Presentation

This is a presentation on the Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants by Stevens Institute of Technology, presented by Cheng Chen. This video slide presentation discusses well controlled la...

Chen, C. et al Energy and Geoscience Institute at the University of Utah

Sep 14, 2024
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Preserving the National Geothermal Data System's Geothermal Features and Observations Dataset (AASG-GDS)

This repository provides access to legacy data from the Association of American State Geologists (AASG) node of the National Geothermal Data System (NGDS), which originally served as part of a nationwide, distributed network aggregating geoscientific information from state geologi...

Zaffos, A. and Richard, S. The University of Arizona

Dec 08, 2025
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Shear Induced Permeability Test: Stripa Granite Temperature Pressure and Displacement Data

Spreadsheet containing the raw measured data, calibrated data, and brief explanation of data for Test1 Stripa Granite Geomechanical/Geochemical Test. Stress on fracture ~20.7 MPa.

Kneafsey, T. Lawrence Berkeley National Laboratory

Jun 21, 2014
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Utah FORGE 5-2565: Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions 2024 Annual Workshop Presentation

This is a presentation on the Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions by United States Geological Survey, presented by Tamara Jeppson. This video slide presentation, by the USGS, discusses the determination of how thermal, ...

Jeppson, T. et al Energy and Geoscience Institute at the University of Utah

Sep 15, 2024
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Utah FORGE 9-3635: Testing of Proppants for EGS and Simulation of EM Fracture Mapping Using Electrically-Conductive Proppants 2025 Workshop Presentation

This is a presentation on High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants by Stevens Institute of Technology, presented by Dr. Cheng Chen. This video slide presentation describes laboratory te...

Chen, C. Stevens Institute of Technology

Sep 18, 2025
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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: 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
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Transportation Secure Data Center

The Transportation Secure Data Center (TSDC) at https://www.nlr.gov/tsdc provides free access to detailed transportation data from travel surveys and studies conducted across the nation. It features millions of data points including second-by-second GPS readings, vehicle character...

Garikapati, V. and Gonder, J. National Renewable Energy Laboratory

Mar 28, 2016
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