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PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...

Kratt, C. et al Oregon State University

Jan 09, 2019
6 Resources
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EGS Collab: Hydraulic Fracturing Test Measurements on the 4100L of SURF

This package includes data from two days of testing at the Sanford Underground Research Facility (SURF) on the 4100 level. The tests were performed in borehole TV4100 in the battery charging alcove south of the Yates shaft. TV4100 is a vertical borehole ~50 meters deep. A series o...

Ingraham, M. et al Sandia National Laboratories

Aug 15, 2019
3 Resources
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Nevada Great Basin Play Fairway Analysis Reports & Appendices

This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...

Faulds, J. et al Nevada Bureau of Mines and Geology

Oct 28, 2015
3 Resources
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Brady Geothermal Field Borehole Pressure Data

This submission supersedes pressure data from March 2017 which can be found as a link in the submission resources. This submission contains 3 .csv files with time series pressure data in 3 observation wells at Brady Geothermal Field as part of the PoroTomo project. These pressure ...

Cardiff, M. and Lim, D. University of Wisconsin

Apr 01, 2016
4 Resources
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PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files October 30, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of October 30, 2017. The data is formatted as compressed GNSS RINEX observation files, accessible through .txt files, as well as in links to the complete daily time series data. Addit...

Kreemer, C. University of Wisconsin

Oct 30, 2017
9 Resources
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EGS Collab Experiment 1: Well Locations and Orientations.

The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...

Neupane, G. et al Idaho National Laboratory

Sep 05, 2018
12 Resources
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WISE-CASING: Surface Seismic Survey at Cymric Field, California Central Valley

This test was conducted at the Chevron Cymric oilfield in the California central valley near Bakersfield. A reflected seismic signal was observed in all three components (x, y, z) of the 3-component Episensor geophone, as well as all phones on the single component array. The arriv...

Wu, Y. et al Lawrence Berkeley National Laboratory

Apr 02, 2018
6 Resources
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Utah FORGE: Laboratory Experiments Examining the Effect of Thermal and Mechanical Processes on Hydraulic Transmissivity Evolution

Using laboratory slide-hold-slide experiments, at temperatures from 22 to 200 degrees C, to examine effects of fracture reactivation and quasi-static loading on the evolution of fluid transport properties of simulated fractures in Westerly granite. At all temperatures, the in-plan...

Lockner, D. et al United States Geological Survey

Apr 03, 2023
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EGS Collab Experiment 2: Core Photographs and Descriptions

This submission contains photographs of rock core collected from EGS Collab Experiment 2 (and 3) boreholes. Cores were generally photographed in about 1-foot sections using Nikon D3300 DSLR cameras from two angles about 90 degrees apart, wet and dry. Core photos are provided here ...

Kneafsey, T. et al Lawrence Berkeley National Laboratory

Aug 05, 2021
11 Resources
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Geothermal Electricity Technology Evaluation Model (GETEM) Individual Case Files and Summary Spreadsheet (GETEM version Spring 2013)

This group of files includes 10 GETEM individual scenario files and 1 summary spreadsheet. Each spreadsheet contains final data (following the revisions made between summer of 2011 and spring of 2013).

Entingh, D. et al Idaho National Laboratory

Mar 07, 2013
11 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
3 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
2 Resources
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Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...

Alumbaugh, D. et al Lawrence Berkeley National Laboratory

Dec 01, 2022
5 Resources
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EGS Collab Experiment 1: Earth Model Input Files

Neupane, G. and Sigma-V, T. Idaho National Laboratory

Dec 19, 2019
6 Resources
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Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...

Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory

Mar 09, 2018
11 Resources
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EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)

Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...

Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory

Nov 08, 2022
10 Resources
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Snake River Plain Play Fairway Analysis: Mountain Home Geothermal Area Natural State Model

The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...

Garg, S. et al Utah State University

Jul 28, 2015
4 Resources
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Geothermal Mineral Alterations in Brady and Desert Peak

Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.

Moraga, J. Colorado School of Mines

May 15, 2021
22 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the ...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
9 Resources
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WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...

Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory

Apr 30, 2019
7 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
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High-Temperature Inorganic Self-Healing Inorganic Cement Composites

The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...

Pyatina, T. and Sugama, T. Brookhaven National Laboratory

Sep 13, 2017
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Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project

The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....

Feigl, K. and PoroTomo Team, . University of Wisconsin

Mar 06, 2019
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SMP and Fracture Modeling

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
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SMP Preparation, Programming, and Characterization