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Utah FORGE: Orientation of Borehole and Surface Seismic Stations

The University of Utah Seismograph Stations (UUSS) are responsible for the seismic monitoring of the experiments and have installed a series of permanent surface and borehole seismic instruments around the Utah FORGE project site. This report discusses the methods used for proper ...

Bradshaw, P. et al University of Utah Seismograph Stations

Jun 21, 2023
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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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Brady Geothermal Field PoroTomo Laboratory Deployment Map

Map of the PoroTomo Laboratory at Brady Field, Nevada. Map includes locations of GPS Stations, Shaker Stations, Vibroseis Sites, Seismometers, Fiber-Optic Cables, and wells

Lopeman, J. University of Wisconsin

Mar 01, 2016
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Brady's Geothermal Field Seismic Network Metadata

Brady's geothermal field seismic network station locations and dates of operation.

Foxall, W. University of Wisconsin

Dec 21, 2014
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Utah FORGE: Seismograph Stations

This is a website containing Utah seismograph stations. It is maintained at the University of Utah. This site contains data relevant to the Utah FORGE project.

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

Feb 29, 2016
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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
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Pressure-Temperature Simulation at Brady Hot Springs

These files contain the output of a model calculation to simulate the pressure and temperature of fluid at Brady Hot Springs, Nevada, USA. The calculation couples the hydrologic flow (Darcy's Law) with simple thermodynamics. The epoch of validity is 24 March 2015. Coordinates are ...

Feigl, K. Temple University

Jul 11, 2017
3 Resources
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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
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Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report

This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...

Gritto, R. et al Array Information Technology

Sep 01, 2018
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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
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EGS Collab Experiment 1: Microseismic Monitoring

The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...

Schoenball, M. et al Lawrence Berkeley National Laboratory

Jul 29, 2019
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