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This dataset contains a catalog of moment tensors derived from distributed acoustic sensing (DAS) data acquired during stimulation of Utah FORGE Well 16A, conducted between April 3 and April 7, 2024. The data were generated as part of the FOGMORE (Fiber Optic MOnitoring for Reserv...
This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geo...
As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
This is a presentation on the Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging project by Pennsylvania State University, presented by Derek Elsworth. The project's objectives were to explore controls and acoustic signatures of aseismic through seismic ev...
This dataset contains the final technical report and closeout presentation for the project A Strain Sensing Array to Characterize Deformation at the Utah FORGE Site, carried out from 2021 to 2025 by Clemson University in collaboration with the U.S. Geological Survey and UNAVCO. Th...
Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...
This submission contains the source code of the Hydrothermal Finite Element Simulator used for the Treasure Island and UC Berkeley campus geothermal simulation. It contains a report that summarizes the development and validation of this Hydrothermal Finite Element Simulator, with ...
This dataset contains temperature, conductivity, and pressure data collected from a geothermal test well in Seward, Alaska, from October 31, 2023, through May 14, 2024. The data from the sensors are used to assess the potential for geothermal heat exchange along the shoreline of t...
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
This dataset includes raw and processed seismic data from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 N, 119.409019 W. The first...
This report provides a first-order assessment of the producible energy from the Utah FORGE EGS reservoir, based on stimulation and circulation testing in 2024. The assessment is based on a stored heat calculation for a cylindrical volume of stimulated hot dry rock enveloping the d...
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 University of Pittsburgh, presented by Dr. Andrew Bunger. The project's objective was to characterize stress i...
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2492, which investigated advanced stimulation design and diagnostic approaches to improve fracture uniformity, inter-well connectivity, and energy recovery efficiency in enhanced ge...
Aeromagnetic data was collected over the Indian Wells Valley, CA in November 1994. It consisted of 9,033 line-kilometers covering ~4,150 square kilometers, flown at a 250 meter drape with principal line spacing of 0.54 kilometers and 10% cross-lines. The principal orientation is N65E.
This PDF outlines the experiments for determining the amount of ligand bleed from our Media #1 at various temperatures and pH's.
Report detailing data acquisition, quality, processing, and presentation for the gravity survey conducted on the Newberry Volcano.
(Validation of Innovative Exploration Technologies for Newberry Volcano: Gravity Report of Newberry prepared by Zonge GeoSciences 2012)
This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.
This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT.
The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 ac...
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
This is 2D and 3D seismic reflection data from Utah FORGE reprocessed during Phase 2c. The readme file containing an explanation of the data including data formats, software that can be used, processing, and projection and datum used. The Reprocessing document gives the rationale ...
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...
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...
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