Search GDR Data

Utah FORGE: Seismic DAS and Geophone Borehole Data Processing and 3D Imaging of Vp/Vs Ratio in the 2024 Stimulated Reservoir

This dataset includes a final report and a 3D velocity model derived from seismic DAS and geophone borehole data collected during the April 2024 stimulation of the reservoir at Utah FORGE. The report details the processing of over 50,000 P and S-wave travel times used in a tomogra...

Gritto, R. and Jarpe, S. EMR Solutions and Technology

Mar 17, 2025
2 Resources
0 Stars
Awaiting release

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
0 Stars
Publicly accessible

Appalachian Basin Play Fairway Analysis Gravity, Magnetics, and Earthquake Data

This archived dataset contains magnetic and gravity imaging data for the Appalachian Basin, compiled using Poisson Wavelet Multiscale Edge Detection, referred to as 'worm' for brevity, and stored in a PostGIS database, along with shapefiles and CSVs of relevant data. The archive ...

Horowitz, F. Cornell University

Jul 20, 2016
1 Resources
0 Stars
Publicly accessible

EGS Collab Experiment 2: Continuous Active Source Seismic Monitoring (CASSM)

The dataset contains continuous active-source seismic monitoring (CASSM) data collected during EGS Collab Experiment 2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to investigate enhanced geoth...

Hopp, C. et al Lawrence Berkeley National Laboratory

Jan 06, 2025
3 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...

Marone, C. Pennsylvania State University

May 05, 2021
1 Resources
0 Stars
Publicly accessible

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
5 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
Publicly accessible

kISMET Final Report and Highlights

The files in this submission describes the results of a series of stress measurement and hydraulic fracturing experiments conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. This report describes the accomplishments of the kISMET (permeability (k) and Induce...

Oldenburg, C. et al Lawrence Berkeley National Laboratory

Oct 31, 2016
2 Resources
0 Stars
Publicly accessible

Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...

Williams, J. et al Global Technology Connection, Inc.

Jan 21, 2025
3 Resources
0 Stars
Publicly accessible

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
3 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

EGS Collab Experiment 2: Microseismic Monitoring

This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Da...

Hopp, C. Lawrence Berkeley National Laboratory

May 28, 2024
4 Resources
1 Stars
Publicly accessible

Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014

The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun 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 ru...

Cladhouhos, T. et al AltaRock Energy Inc

Sep 03, 2015
54 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...

E. Jordan, T. Cornell University

Nov 18, 2015
12 Resources
0 Stars
Publicly accessible

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
46 Resources
0 Stars
Publicly accessible