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GEO3D Three-Dimensional Computer Model of a Ground Source Heat Pump System

This file is the setup file for GEO3D, a computer program written by Jim Menart to simulate vertical wells in conjunction with a heat pump for ground source heat pump (GSHP) systems. This is a very detailed three-dimensional computer model. This program produces detailed heat tran...

Menart, J. Wright State University

Jun 07, 2013
3 Resources
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Oregon Cascades Play Fairway Analysis: Faults and Heat Flow Maps

This submission includes a fault map of the Oregon Cascades and backarc, a probability map of heat flow, and a fault density probability layer. More extensive metadata can be found within each zip file. For information about "Oregon Faults," contact John David Trimble, Oregon Sta...

Trimble, J. University of Utah

Nov 15, 2015
4 Resources
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Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...

Tester, J. Cornell University

Jan 01, 2015
3 Resources
0 Stars
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Transparent Cost Database: Generation, BioFuels, Vehicle Levelized Costs

For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy...

Staff, T. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
7 Resources
1 Stars
In curation

EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test

This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from...

Zhang, Y. et al Stanford University

Jan 01, 2022
4 Resources
0 Stars
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EERE Energy Analysis Data and Tools

On this website, energy analysts and policymakers can access energy analysis products, including published analyses, energy data and maps, and analysis tools from EERE and the broader DOE-supported energy analysis community. While the website provides links to important energy ana...

Ma, S. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
0 Stars
In curation

Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data

These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.

Coleman, T. California State University

Feb 27, 2015
5 Resources
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STRESSINVERSE Software for Stress Inversion

The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...

Gritto, R. Array Information Technology

Oct 31, 2018
1 Resources
0 Stars
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2019 Annual Technology Baseline ATB Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline ATB in an Excel workbook that contains detailed cost and performance data both current and projected for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This update...

Vimmerstedt. . et al National Renewable Energy Laboratory

Jul 23, 2019
5 Resources
0 Stars
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Hawaii Play Fairway Analysis: Hawaii Conservation District Subzones

Conservation district subzones for the state of Hawaii.

Lautze, N. University of Hawaii

Nov 15, 2015
1 Resources
0 Stars
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Utah FORGE: Updated FMI Fracture Log from Well 16A(78)-32

This dataset consists of an Excel spreadsheet detailing the fracture picks from a reinterpretation of the formation micro-imaging (FMI) log from Utah FORGE well 16A(78)-32. The provided information details fracture location, geometry, and type. Also included here is a link to the...

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

Apr 17, 2024
3 Resources
0 Stars
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Finite Volume Based Computer Program for Ground Source Heat Pump System Final Scientific Report

The goal of this project was to develop a detailed computer simulation tool for GSHP (ground source heat pump) heating and cooling systems. Two such tools were developed as part of this DOE (Department of Energy) grant; the first is a two-dimensional computer program called GEO2D ...

Menart, J. and Frederick, J. Wright State University

Jul 31, 2013
3 Resources
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Utah FORGE: Downhole Geophone Seismic Data (August 2022)

This is a link to downhole geophone data collected by Schlumberger. These data were collected in the Utah FORGE deep seismic monitoring wells 58-32 and 56-32. The format is a standard SEGY and the units are bits. To convert to acceleration (m/s2) multiply by 2.333 x 10-7. Use one ...

Pankow, K. and Schlumberger, S. University of Utah Seismograph Stations

Aug 25, 2022
3 Resources
0 Stars
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Raw Pressure Data from Observation Wells at Brady's Hot Springs

This .csv files contain the raw water pressure data from three observation wells during pumping tests performed in the Spring of 2016. Included is a "read me" file explaining the details of where and how the data were collected.

Lim, D. University of Wisconsin

Mar 13, 2016
6 Resources
0 Stars
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Renewable Electricity Futures Study Volume One

Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...

Hand. . et al National Renewable Energy Laboratory

Jan 19, 2016
3 Resources
0 Stars
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DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...

Reinisch, E. et al University of Wisconsin

Jun 27, 2018
20 Resources
0 Stars
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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
0 Stars
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Utah FORGE: Roosevelt Hot Springs Analytical Well-Based Temperature Model Data

This submission contains a cumulative record of one-dimensional temperature modeling based off of well data in the vicinity of the Utah FORGE site. Temperature log data from wells used, and in some cases were extrapolated below the bottom of a number of wells. The data were corre...

Podgorney, R. and Allis, R. Idaho National Laboratory

Dec 07, 2018
2 Resources
0 Stars
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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
2 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
4 Resources
0 Stars
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Hydroshear Simulation Lab Test 2, Additional Data Sheets

This file contains additional data for this test (hydroshear test 3.2). In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details ca...

Bauer, S. Sandia National Laboratories

Aug 01, 2014
2 Resources
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Utah FORGE: 2024 Stimulations Microseismic Event Catalog from Seismic Surface Network

This archive provides a a link to a microseismic event catalog of the 2024 stimulations at Utah FORGE. The catalog was derived from data collected with the surface monitoring network consisting of 5 permanent seismic stations deployed by the University of Utah Seismograph Station...

Niemz, P. et al University of Utah Seismograph Stations

Jul 29, 2024
2 Resources
0 Stars
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Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone

This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic bore...

Um, E. et al Lawrence Berkeley National Laboratory

Nov 15, 2022
4 Resources
0 Stars
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Brady's Field GPS Time-Series Data

Daily position time-series for GPS station BRAD and BRDY in the NA12 reference frame.

Kreemer, C. University of Nevada

Dec 20, 2014
1 Resources
0 Stars
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...

Mustafa, A. et al Battelle Memorial Institute

Sep 28, 2023
3 Resources
0 Stars
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