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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
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17 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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Utah FORGE: Seismicity Associated with the 2019 Well 58-32 Stimulation
This catalog describes the seismicity associated with the 2019 stimulation at Utah FORGE. Containing both matched-filter detections (Dzubay et al., 2022) and Schlumberger-recorded events (detected with a 12-level geophone string), the final combined catalog contains a total of 534...
Pankow, K. University of Utah Seismograph Stations
Apr 30, 2019
1 Resources
1 Stars
Publicly accessible
1 Resources
1 Stars
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MT Data: Newberry 4D Monitoring EGS Project
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored.
Daily production reports- Oregon State University (OSU) had 6 stations running continuously.
--Dynamic survey map, KML f...
Rose, K. National Energy Technology Laboratory
Apr 12, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B
This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...
Khatara, S. et al Neubrex Energy Services (US), LLC
Nov 06, 2024
2 Resources
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2 Resources
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Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure
This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 31, 2012
2 Resources
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2 Resources
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Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA.
Citation:
Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Bershaw, J. et al Portland State University
Jun 29, 2020
2 Resources
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2 Resources
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Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32
These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additiona...
Dyer, B. et al University of Utah Seismograph Stations
Nov 09, 2022
1 Resources
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1 Resources
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Utah FORGE: Well 16B(78)-32 Stimulation Hydraulic Fracturing In-Well DAS Fiber Optic Monitoring Report April 2024
The report reviews results obtained by Neubrex using Distributed Acoustic Sensing (DAS) during the 16B(78)-32 hydraulic fracturing operations, Stages 1–4. It details DAS data acquisition, processing, and analysis, with a focus on acoustic noise signatures recorded during each st...
Jurick, D. et al Neubrex Energy Services (US), LLC
Apr 26, 2024
1 Resources
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1 Resources
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Updated Overpressures and Permeability Values for PNNL's StimuFrac Fluid
A corrigendum was submitted to the journal of Geothermics on our article "Environmentally friendly, rheoreversible, hydraulic-fracturing fluids for enhanced geothermal systems" Shao et al Geothermics 58 (2015) 22-31.
In the original article some permeability values were underesti...
Shao, H. et al Pacific Northwest National Laboratory
Apr 06, 2016
1 Resources
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1 Resources
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Utah FORGE: Phase 1a Tensor Strainmeter Data for the April, 2022 Stimulation of Well 16A(78)-32
Data from two Tensor Optical Fiber Strainmeters that were operational during Stages 1, 2, and 3 of the April, 2022 stimulation of well 16A(78)-32. Each csv file contains data from each stimulation stage (stage1, stage2, stage3) for both Phase 1a strainmeter installations (FS01, f...
DeWolf, S. and Murdoch, L. Clemson University
Sep 15, 2022
8 Resources
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8 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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3 Resources
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StimuFrac Compressibility as a Function of CO2 Molar Fraction
Compressibility values were obtained in a range of pressures at 250degC by employing a fixed volume view cell completely filled with PAA aqueous solution and injecting CO2 at constant flow rate (0.3mL/min). Pressure increase as a function of supercritical CO2 (scCO2) mass fraction...
A., C. Pacific Northwest National Laboratory
Apr 29, 2016
1 Resources
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1 Resources
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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: 2022 Well Stimulation Seismicity Data Including SeGY Data
This is a link to the Utah FORGE seismic data distribution site hosted by the University of Utah Seismograph Stations. The data was collected from downhole geophone strings in wells 56-32, 58-32 and 78B-32 during the 2022 stimulation of well 16A(78)-32. This dataset, which was upd...
Pankow, K. University of Utah Seismograph Stations
Apr 14, 2023
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network 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. Golder Associates Inc.
Jun 01, 2021
3 Resources
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3 Resources
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Summary Fracturing of Coso Samples with StimuFrac
Lab-scale stimulation was performed on Coso samples obtained from a single core (1623 feet TVD, reservoir Coso CGC 18-27) using StimuFrac and control fluid in the absence of stimuli-responsive polymer.
Fernandez, C. Pacific Northwest National Laboratory
Sep 06, 2016
1 Resources
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1 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: 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
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66 Resources
0 Stars
Publicly accessible