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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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Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation.
A preliminary 3D velocity model for the larg...
Gritto, R. Array Information Technology
Jan 30, 2023
1 Resources
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1 Resources
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EGS Collab Experiment 1: In-situ observation of pre-, co and post-seismic shear slip preceding hydraulic fracturing
Understanding the initiation and arrest of earthquakes is one of the long-standing challenges of seismology. Here we report on direct observations of borehole displacement by a meter-sized shear rupture induced by pressurization of metamorphic rock at 1.5 km depth. We observed the...
Guglielmi, Y. et al Lawrence Berkeley National Laboratory
May 22, 2018
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Improved Microseismicity Detection During Newberry EGS Stimulations
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
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
Utah FORGE: Well 78B-32 Daily Drilling Reports and Logs
This data set includes the daily drilling reports and Pason data for well 78B-32 and Schlumberger logs acquired after drilling completion. This well was drilled between June 27th and July 31st of 2021. Also included is raw and processed data for a variety of well data metrics incl...
McLennan, J. Energy and Geoscience Institute at the University of Utah
Aug 09, 2021
22 Resources
0 Stars
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22 Resources
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Utah FORGE: Mineral Mountains West Fault System Report
This archive contains a report on the Mineral Mountains West fault system as part of phase 2C and the evidence for the northern terminus of this structure. Geologic field mapping, reprocessing of 3D seismic reflection data, and soil gas surveys contributed to this effort.
Simmons, S. and Miller, J. Energy and Geoscience Institute at the University of Utah
Jul 01, 2019
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Utah FORGE: 2023 Induced Seismicity Mitigation Plan
This is the updated Utah FORGE Phase 3B induced seismicity mitigation plan (ISMP) covering the general Utah FORGE area. This new version incorporates newly collected seismic data, including data collected during the 2022 stimulation and a probabilistic seismic hazard assessment (...
Pankow, K. et al University of Utah Seismograph Stations
Aug 09, 2023
1 Resources
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Publicly accessible
1 Resources
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Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016
List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.
Robertson, M. University of Wisconsin
Jun 01, 2016
3 Resources
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Publicly accessible
3 Resources
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Publicly accessible
Improved Microseismicity Detection During Newberry EGS Stimulations
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Nov 01, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Brady 1D Seismic Velocity Model Ambient Noise Prelim
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
J., R. Lawrence Livermore National Laboratory
Oct 25, 2013
1 Resources
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Publicly accessible
1 Resources
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Utah FORGE 5-2419: Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging 2024 Annual Workshop Presentation
This is a presentation on Seismicity-Permeability Relationships Probed via Nonlinear Acoustic Imaging by Pennsylvania State University, presented by Derek Elsworth. This video slide presentation discussed controls and acoustic signatures of aseismic through seismic evolution of re...
Elsworth, D. et al Energy and Geoscience Institute at the University of Utah
Sep 05, 2024
1 Resources
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1 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
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Publicly accessible
4 Resources
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Publicly accessible
Utah FORGE 3-2417: Meteorological Data During 2024 Stimulation
This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the 16A/16B stimulation activities, largely March/April/May of 2024. This information may prove useful for understanding seismic and other instrumentati...
Ajo-Franklin, J. Rice University
May 09, 2024
5 Resources
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5 Resources
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Cape EGS: Frisco Pad Wells Flow Test Microseismic Data
This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...
Dadi, S. and Kanu, O. Fervo Energy
Nov 06, 2024
5 Resources
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5 Resources
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GEISER Project The Geysers Seismic Broadband Data 2012 2013
This link points to the Northern California Earthquake Data Center (NCEDC) to access The Geysers seismic broadband data. The two available data sets consist of continuous waveform data recorded at The Geysers from July 2012 to July 2013 and a processed catalog with earthquake info...
Gritto, R. Array Information Technology
Oct 31, 2018
2 Resources
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Publicly accessible
2 Resources
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Newberry EGS Demonstration: Well 55-29 Stimulation Data
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
T., T. AltaRock Energy Inc
Dec 08, 2012
136 Resources
0 Stars
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136 Resources
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Utah FORGE: 2019 ARMA Overview Slide Presentation
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.
Moore, J. Energy and Geoscience Institute at the University of Utah
Aug 17, 2019
1 Resources
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1 Resources
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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
17 Resources
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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
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22 Resources
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EGS Collab Experiment 1: Accelerometer orientations
Document describing the methodology used to determine the accelerometers' three-component orientations at the first EGS Collab testbed using Continuous Active-Source Seismic Monitoring (CASSM) data and hodogram analysis.
Original submission: gdr.openei.org/submissions/1166
Hopp, C. et al Lawrence Berkeley National Laboratory
Aug 19, 2020
2 Resources
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Publicly accessible
2 Resources
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Newberry EGS Demonstration: Stimulating the Existing Fracture Network Report
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
Cladouhos, T. et al AltaRock Energy Inc
Mar 10, 2014
1 Resources
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1 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
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1 Resources
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EGS Collab Experiment 1: Baseline Cross-well Seismic
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 ...
Schwering, P. et al Sandia National Laboratories
Apr 30, 2018
9 Resources
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9 Resources
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Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations
This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...
Templeton, D. et al Lawrence Livermore National Laboratory
Apr 18, 2014
1 Resources
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1 Resources
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