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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
Curated
3 Resources
0 Stars
Curated
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
3 Resources
0 Stars
Curated
3 Resources
0 Stars
Curated
Utah FORGE: Seismograph Station Information and Data
This link leads to the University of Utah Seismograph Stations website Utah FORGE seismograph stations page. This page contains a location map and description of the Utah FORGE seismograph stations and other related information. Additionally, data can be downloaded for each statio...
Pankow, K. University of Utah Seismograph Stations
Jan 26, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: 2024 Stimulations Microseismic Event Catalog from Seismic Surface Network
This archive provides a a link to a microseismic event catalog of the 2024 stimulations at Utah FORGE. The catalog was derived from data collected with the surface monitoring network consisting of 5 permanent seismic stations deployed by the University of Utah Seismograph Station...
Niemz, P. et al University of Utah Seismograph Stations
Jul 29, 2024
2 Resources
0 Stars
Curated
2 Resources
0 Stars
Curated
Utah FORGE: Discrete Fracture Network (DFN) Data
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. and Podgorney, R. Golder Associates Inc.
Jun 24, 2020
66 Resources
0 Stars
Publicly accessible
66 Resources
0 Stars
Publicly accessible
Distributed Acoustic Sensing Experiment Data from Garner Valley, California
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes all DAS data recorded during the experiment.
The sampling rate ...
Lancelle, C. University of Wisconsin
Sep 11, 2013
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible
Sentinel-1 Input Data for PSInSAR Analysis
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a l...
Moraga, J. Colorado School of Mines
Apr 29, 2021
73 Resources
0 Stars
Curated
73 Resources
0 Stars
Curated
Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB)
This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylva...
E., T. Cornell University
Nov 15, 2015
50 Resources
0 Stars
Publicly accessible
50 Resources
0 Stars
Publicly accessible