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Utah FORGE: Microseismic Event Catalogues from the Well 16A(78)-32 Stimulation in April, 2022

This dataset includes three microseismic event catalogues from the three stages of stimulation in April 2022 of well 16A(78)-32 derived by Geo Energie Suisse. Each spreadsheet contains source times, xy location, depth, and seismic moment magnitude. An animation of the order in whi...

Karvounis, D. et al University of Utah Seismograph Stations

Oct 10, 2023
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Utah FORGE: Earthquake Catalog

This is the set of earthquake catalogs developed for the Utah FORGE project covering December of 2016 through March of 2018. These are discussed in the "Utah FORGE Phase 2B Final Topical Report," which can be found on GDR under id: 1038 (See link 'Final Topical Report' in resource...

Pankow, K. Energy and Geoscience Institute at the University of Utah

Mar 21, 2018
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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
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Utah FORGE: Phase 2C Topical Report

This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...

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

Dec 11, 2019
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Utah FORGE: Induced Seismicity Mitigation Plan

This is the current induced seismicity mitigation plan (ISMP) for the Utah FORGE project. Information that was collected during Phases 1 and 2 of the Utah FORGE project has been incorporated, as have literature searches and risk assessments. The purpose of this report is to identi...

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

Dec 30, 2020
2 Resources
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Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin

Streig, A. and Wells, R. Portland State University

Dec 04, 2018
3 Resources
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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs

This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...

Madara, B. et al Pennsylvania State University

Jan 01, 2018
5 Resources
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Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata

This metadata submission includes the coordinates of the DAS and DTS surface and borehole arrays, the list of file names, and the list of recorded files during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. Testing was completed during March 2016.

Fratta, D. University of Wisconsin

Mar 31, 2016
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Utah FORGE: Final Topical Report 2018

This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results associated with the conceptual geologic model, deep well 58-32, rock geomechanics, reservoir temperatures, seismic survey...

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

Apr 07, 2018
2 Resources
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Brady's Geothermal Field DAS Earthquake Data

The submitted data correspond to the vibration caused by a 3.4 M earthquake and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. Data is available in the original .sgy formats, as well as in standardized .h5 formats. Earthquake information : M ...

Feigl, K. University of Wisconsin

Mar 21, 2016
10 Resources
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Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...

Zhu, T. Pennsylvania State University

May 05, 2021
4 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations

This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area: An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...

Abraham, S. et al Energy and Geoscience Institute at the University of Utah

Mar 26, 2019
6 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...

Chai, C. et al Oak Ridge National Laboratory

Apr 20, 2020
7 Resources
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Utah FORGE: Well 58-32 Stimulation Conference Paper and Data

The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...

Best, S. Energy and Geoscience Institute at the University of Utah

Apr 24, 2019
2 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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Utah FORGE: Fault Shear Reactivation Experimental Data for Fluid Injection-Rate Controls on Seismic Moment

Included are experimental data recorded from shear experiments that specifically explore the link between fluid-injection rate and seismic moment resulting from shear reactivation of laboratory faults. Raw mechanical data from three experiments are included alongside corresponding...

Roseboom, M. et al Pennsylvania State University

Nov 07, 2023
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Utah FORGE: Fault Reactivation Through Fluid Injection Induced Seismicity Laboratory Experiments

Included are results from shear reactivation experiments on laboratory faults pre-loaded close to failure and reactivated by the injection of fluid into the fault. The sample comprises a single-inclined-fracture (SIF) transecting a cylindrical sample of Westerly granite. All expe...

Yu, J. et al Pennsylvania State University

Jul 01, 2023
27 Resources
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