Search GDR Data

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
0 Stars
Publicly accessible

Utah FORGE 3-2417: Simulations for Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity

This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files and results are presented from the perspective of digital acoustic sensing's (DAS) potential to differentiate the t...

Ward-Baranyay, M. et al Rice University

Jan 01, 2023
4 Resources
0 Stars
Publicly accessible

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

This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Matteo Cusini. The project's objective was to employ a combination of high-fidelity simulations and true...

Cusini, M. and Bunger, A. Lawrence Livermore National Laboratory

Sep 08, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...

Feigl, K. and Batzli, S. University of Wisconsin Madison

Aug 16, 2018
6 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Utah FORGE: 2023 Phase 3B Year 1 Annual Report

This report discusses the objectives, goals, accomplishments and results of Phase 3B Year 1 of the Utah FORGE project. The report includes infrastructure, seismic monitoring, modelling, external R&D, communications and outreach, data produced, lessons learned, conclusions, and pla...

Moore, J. et al Energy and Geoscience Institute at the University of Utah

Aug 09, 2023
1 Resources
0 Stars
Publicly accessible

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...

Taverna, N. et al Upflow

Jan 30, 2023
10 Resources
0 Stars
In curation

Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...

Finnila, A. Energy and Geoscience Institute at the University of Utah

Oct 02, 2023
17 Resources
0 Stars
Publicly accessible

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...

Pauling, H. et al National Renewable Energy Laboratory

Jun 30, 2023
22 Resources
0 Stars
Publicly accessible

DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
27 Resources
0 Stars
Publicly accessible

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...

Jogineedi, R. et al GTI Energy

Aug 30, 2024
56 Resources
0 Stars
Publicly accessible