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Deep Direct-Use Feasibility Study Estimation of Reservoir Properties for the Tuscarora Sandstone

This dataset contains black-and-white photographic images of individual core segments from well Preston 119 and photomicrographs taken of petrographic thin sections from well Clay 513. Minipermeameter measurement results of 2,260 samples for fracture and matrix permeability on cor...

McDowell, R. West Virginia University

Dec 19, 2019
5 Resources
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Laboratory Upgrade Point Absorber (LUPA) CAD Files

The Laboratory Upgrade Point Absorber (LUPA) is an open-source wave energy converter designed and tested by Oregon State University. The computer-aided design (CAD) files are provided here in two forms: the original SOLIDWORKS (2021) model as "LUPA SOLIDWORKS.zip" and as a STEP fi...

Beringer, C. et al Oregon State University

Nov 04, 2024
7 Resources
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Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS

EGS field projects have not sustained production at rates greater than half of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igne...

A., C. Pacific Northwest National Laboratory

Sep 25, 2013
19 Resources
0 Stars
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Utah FORGE: Phase 3 Native State Model 2022 Update

This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...

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

Jul 29, 2022
1 Resources
0 Stars
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USGS US Coal Resources Database (USCOAL), 1975

The U.S. Geological Survey Energy Resources Program has developed coal databases to monitor the location, quantity, and physical and chemical characteristics of U.S. coal and coal-related deposits. The National Coal Resources Data System (NCRDS) database is an integrated system u...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Dec 31, 1973
2 Resources
0 Stars
In curation

Memos Relating to High-Priority Geothermal Targets in Colorado Selected for Further Study Flint Geothermal 2012

This dataset contains several memos describing geothermal targets outlined by Flint personnel in Colorado. Phase 1 involved an ASTER and LANDSAT thermal infrared imagery assessment conducted by CIRES of the University of Colorado, which identified areas of warm ground that might i...

Zehner, R. Flint Geothermal, LLC

Feb 27, 2014
3 Resources
0 Stars
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SGW paper Rheological Properties of Drilling Fluids Containing Special Additives for Geothermal Drilling Applications

The paper was presented at the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 15-17, 2021. In this study, the effectiveness of different additives was evaluated in maintaining drilling fluid rheology at HPHT(high pressure and...

Mohamed, A. et al University of Oklahoma

Jan 04, 2023
1 Resources
0 Stars
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Tidal Current Cross-flow Turbine Wake ADV and PIV Data

Measurements in the wake of a high-solidity cross-flow turbine in a laboratory flume obtained using Acoustic Doppler Velocimetry and Particle Image Velocimetry for the purposes of characterizing the turbine wake and comparing the methods.

Polagye, B. University of Washington

Dec 06, 2016
6 Resources
0 Stars
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Utah FORGE 3-2535: Joint EM-Seismic-InSAR Imaging of Fracture Properties 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 project by Lawrence Berkeley National Laboratory, presented by Dr. David Alumbaugh, Staff Sc...

Alumbaugh, D. Lawrence Berkeley National Laboratory

Sep 08, 2023
1 Resources
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USGS Energy Geochemistry Database

The Energy Geochemistry Data Base (EGDB) contains chemical analysis data for crude oil, natural gas, coal, water, and rock samples analyzed by the USGS Ene...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Dec 31, 1988
2 Resources
0 Stars
In curation

Geothermal Sector Cybersecurity Vulnerability Assessment Presentation

As geothermal resource contributions to the energy sector grow, cybersecurity will be increasingly important to ensure resilient, reliable, and secure clean energy for years to come. An overview of the cybersecurity vulnerability assessment project was developed and presented at t...

Markel, T. et al National Renewable Energy Laboratory

Oct 20, 2020
1 Resources
0 Stars
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...

Smith, J. Cornell University

Oct 29, 2019
6 Resources
0 Stars
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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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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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Lidar ESRL WindCube 200s, Wasco Airport Processed Data

**Overview** The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)

Sep 24, 2015
1 Resources
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Drill Cutting and Core Major, Trace and Rare Earth Element Analyses from Wells RN-17B and RN-30, Reykjanes, Iceland

Analytical results for x-ray fluorescence (XRF) and Inductively Couple Plasma Mass Spectrometry (ICP-MS) measurement of major, trace and rare earth elements in drill cuttings from geothermal wells in Reykjanes, Iceland. Total Fe was analyzed as FeO, therefore is not included under...

Fowler, A. and Zierenberg, R. University of California

May 01, 2015
1 Resources
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Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa

Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding manuscript: DOI: 10.1002/bbb....

Happs. . et al National Renewable Energy Laboratory

Mar 16, 2022
1 Resources
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Lidar ESRL WindCube 200s, Arlington Airport Reviewed Data

**Overview** The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)

Aug 31, 2015
1 Resources
0 Stars
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Lidar ESRL WindCube 200s, Wasco Airport Reviewed Data

Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)

Aug 31, 2015
1 Resources
0 Stars
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Utah FORGE 8-3637: Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency 2024 Annual Workshop Presentation

This is a presentation on the Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency by Texas Tech University, presented by Smith Leggett. This video slide presentation discusses the ID squared technical objectives to develop and integrate diagnostic tools to deter...

Leggett, S. Energy and Geoscience Institute at the University of Utah

Sep 14, 2024
1 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
3 Resources
0 Stars
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Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...

Mohamed, A. et al University of Oklahoma

Apr 22, 2022
10 Resources
0 Stars
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Shear Induced Permeability Test: Stripa Granite X-Ray CT Files and Explanation

This folder contains X-ray CT images and an explanation related to the shear induced permeability testing of Stripa granite

Kneafsey, T. Lawrence Berkeley National Laboratory

Jan 21, 2014
1 Resources
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.

Jordan, T. et al Cornell University

Oct 27, 2019
27 Resources
0 Stars
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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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