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Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)

These files are ambient noise correlation (ANC) functions calculated for 11 days of continuous seismic data recorded by the Lawrence Berkeley network in the Brady geothermal field. These are SAC formatted seismic waveforms. The stations included are BPB04, BPB05, BPB07, BPB08, BP...

Matzel, E. Lawrence Livermore National Laboratory

Jul 01, 2015
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Analyzed DTS Data, Guelph, ON Canada

Analyzed DTS datasets from active heat injection experiments in Guelph, ON Canada is included. A .pdf file of images including borehole temperature distributions, temperature difference distributions, temperature profiles, and flow interpretations is included as the primary analyz...

Coleman, T. University of Wisconsin

Jul 01, 2015
5 Resources
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Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core

This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...

Kroll, K. et al Lawrence Livermore National Laboratory

Jul 27, 2023
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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...

Kelley, M. and Bunger, A. Battelle Memorial Institute

Sep 08, 2023
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Utah FORGE 4-2541: Optimization and Validation of a Plug-and-Perf Stimulation Treatment Design Workshop Presentation

This is a presentation on the Optimization and Validation of a Plug-and-Perf Stimulation Treatment Design at Utah FORGE project by Fervo Energy, presented by Sireesh Dadi. The project's objective was to develop a multistage hydraulic stimulation approach designed specifically to t...

Dadi, S. and Norbeck, J. Fervo Energy

Sep 08, 2023
1 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Designs for Deep Injection and Monitoring Wells

The following information is provided about the design of deeps wells constructed in the Illinois Basin to store, sequester, or dispose of CO2, natural gas, and industrial wastes.

Lin, Y. et al University of Illinois

Mar 30, 2018
3 Resources
0 Stars
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2019 Geothermal Market Report Fact Sheet

The 2020 U.S. Geothermal Power Production and District Heating Market Report is being developed by the National Renewable Energy Laboratory and Geothermal Rising, previously Geothermal Resources Council (GRC), with support from the Geothermal Technologies Office of the U.S. Depart...

Robins, J. et al National Renewable Energy Laboratory

Oct 01, 2020
1 Resources
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Potential structures Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid...

Faulds, J. and Coolbaugh, M. Nevada Bureau of Mines and Geology

Feb 20, 2021
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Utah FORGE: Well 16A(78)-32 X-ray Diffraction Data

This submission contains x-ray diffraction data taken from 3,600 to 10,987 feet deep in well 16A(78)-32 in the Roosevelt Hot Springs Geothermal Area as part of the Utah FORGE project. 78 rock samples were taken. Samples are taken in a range of ten feet at 100 foot increments. Mine...

Jones, C. Energy and Geoscience Institute at the University of Utah

Jul 29, 2021
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Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation

This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...

Alumbaugh, D. Energy and Geoscience Institute at the University of Utah

Aug 25, 2024
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End Use Load Profile (EULP) of US Building Sector resulting from mass GHP retrofits

This collection of datasets describes the change (difference) in hourly energy consumption of the U.S. residential and commercial building stock while replacing existing HVAC systems with ground source heat pumps for all the balancing areas in the US, for all buildings eligible fo...

Liu, X. et al Oak Ridge National Laboratory

Apr 15, 2023
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PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...

Feigl, K. et al University of Wisconsin

Mar 29, 2016
20 Resources
1 Stars
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Brady's Geothermal Field Nodal Seismometer Data

This submission includes links to raw data, field notes, metadata, and p-wave arrival auto-picks from processed data (not provided) from the nodal seismometer array deployed at the PoroTomo Natural Laboratory in Brady's Hot Springs, Nevada during the March 2016 testing. The data i...

Parker, L. University of Wisconsin

Mar 30, 2016
7 Resources
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Resource Analysis for Deep Direct-Use Feasibility Study in East Texas

The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...

Richards, M. et al Southern Methodist University

Jun 28, 2018
13 Resources
0 Stars
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...

Folsom, M. et al Ormat Technologies, Inc.

Nov 09, 2016
11 Resources
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BRAD and BRDY GPS Station RINEX Files 03-26-2014

GPS RINEX Files and Time-Series FTP Locations

Kreemer, C. University of Wisconsin

Jan 01, 2015
7 Resources
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BRAD BRDY and BRD1 GPS Station RINEX Files 09-17-2015

CSV files with links to RINEX data for stations BRAD and BRDY for all days after those reported previous (i.e., since 21-JAN-2015) Links to websites that show the position time-series of both stations.

Kreemer, C. University of Wisconsin

Sep 17, 2015
7 Resources
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McGee Mountain Geoprobe Study, Humboldt County, Nevada

Geoprobes were developed by the environmental industry to collect water, gas and soil samples from contaminated sites at shallow depths (10-40 meters), with a minimum of environmental disturbance. A modified Geoprobe was used to collect bottom hole temperatures, and attempt to col...

Tullar, K. Geothermal Technical Partners, Inc.

Jun 19, 2010
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McGee Mountain Geoprobe Survey, Humboldt County, Nevada

This shapefile contains location and attribute data for a Geoprobe temperature survey conducted by Geothermal Technical Partners, Inc. during 2010. The purpose of direct push technology (DPT) probe activity at the McGee Mtn. Project, Nevada was to 1) determine bottom hole temperat...

Zehner, R. Geothermal Technical Partners, Inc.

Jun 01, 2010
2 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Long-Term Meteorological Data

This submission includes meteorological data recorded by National Weather Service at University of Illinois Willard Airport, Savoy IL for period 1972 to 2018. This data is for use in parameterizing the demand and life-cycle assessments associated with the project, and provides inf...

Lin, Y. University of Illinois

Mar 30, 2018
3 Resources
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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
3 Resources
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EGS Collab Experiment 2: Laser Scanned 4100 L Drift Map

The EGS Collab project is evaluating a site for Experiment 2 (hydraulic fracturing/shearing) at a depth of 1.25 km in the Sanford Underground Research Facility (SURF) on the 4100 Level. Two early test holes were drilled in an alcove (formerly known as Battery Charging Station) nea...

Neupane, G. et al Idaho National Laboratory

Dec 19, 2019
4 Resources
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Economic Impact of Permitting Timelines on Produced Geothermal Power

Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...

Neupane, G. and Adhikari, B. Idaho National Laboratory

Feb 15, 2022
3 Resources
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Literature Data on Foam Fracturing Fluid

At the beginning of this project, the Temple team spent significant effort to collect data relevant to foam fracturing. More than 40 articles/reports were found in the open literature that reported the properties of aqueous foams under various testing conditions. The foam properti...

Thakor, V. et al Temple University

Nov 08, 2021
2 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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