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2016 Passive Seismic Imaging of the Dixie Valley Geothermal Well Field for EGS Favorability and Fault Mapping
This submission provides reports on the results of seismic data analyses, statistical data sets of rock properties under the DVGWF, GIS data for new maps of EGS favorability, and a link to raw seismogram data archived by the IRIS-DMS.
Louie, J. et al University of Nevada, Reno
Nov 01, 2015
7 Resources
0 Stars
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7 Resources
0 Stars
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Oregon Cascades Play Fairway Analysis: Maps
The maps in this submission include: heat flow, alkalinity, Cl, Mg, SiO2, Quaternary volcanic rocks, faults, and land ownership. All of the Oregon Cascade region. The work was done by John Trimble, in 2015, at Oregon State University.
Trimble, J. University of Utah
Dec 15, 2015
9 Resources
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9 Resources
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Drill 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 coupled plasma mass spectrometry (ICP-MS) measurement of major, trace and rare earth elements in drill core from geothermal wells in Reykjanes, Iceland. Total Fe was analyzed as FeO, therefore is not included under t...
Fowler, A. University of California
Apr 01, 2015
1 Resources
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1 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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7 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
4 Resources
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4 Resources
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Preliminary Geologic Map of the Wabuska Quadrangle, Lyon County, Nevada Wabuska Geothermal Area
This geologic map of the Wabuska Geothermal Area outlines the locations of quaternary deposits, late tertiary volcanic and sedimentary rocks, late tertiary intrusive rocks and veins, Oligocene ash-flow tuffs and sedimentary rocks, and Triassic sedimentary rocks.
Suggested citatio...
Hinz, N. University of Nevada
Oct 31, 2013
1 Resources
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1 Resources
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Rare Earth Geochemistry of Rock Core form WY Reservoirs
These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.
*Note Link below contains updated version of spreadsheet (6/14/2017)
Quillinan, S. et al University of Wyoming
Oct 01, 2016
2 Resources
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2 Resources
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Rare Earth Element Geochemistry of Produced Waters in WY
Update of rare earth element data from oil and gas reservoirs. These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.
Quillinan, S. et al University of Wyoming
Jun 01, 2017
2 Resources
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2 Resources
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Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV
This dataset contains data spreadsheets and figures that summarize the results of a stochastic analysis of temperatures at depth below the West Virginia University campus in Morgantown, WV. These results are extracted from a study by Smith (2019), whose results are included in a G...
Smith, J. West Virginia University
Dec 19, 2019
3 Resources
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3 Resources
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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
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4 Resources
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Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Johnston, H. and Young, D. National Renewable Energy Laboratory
May 23, 2019
8 Resources
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8 Resources
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Laboratory Drilling Test Data of PDC bits with Sierra White Granite Rock
This file contains unprocessed drilling data tests on Sierra White Granite (SWG) using two new PDC bits. The tests were conducted at Sandia National Laboratories (SNL) in the Hard Rock Drilling Facility (HRDF). The collected data includes ROP data at rotational speeds of 80, 120, ...
Al Dushaishi, M. and Hareland, G. Oklahoma State University
Oct 14, 2020
5 Resources
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5 Resources
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Fallon FORGE: Gravity and Magnetics Data
This package contains principal facts for new gravity data collected September November 2017 in support of the Fallon FORGE project. Also included are rock core density and magnetic susceptibility data for key core intervals, used in modeling 2D and 3D gravity inversions.
Indivi...
Blankenship, D. et al Sandia National Laboratories
Mar 09, 2018
4 Resources
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4 Resources
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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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5 Resources
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Tularosa Basin Play Fairway: Weights of Evidence Models
These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...
Brandt, A. University of Utah
Dec 01, 2015
2 Resources
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2 Resources
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PoroTomo Project: Brady's Geothermal Field: GPS station deployment and data analysis
Brady's Field PoroTomo project. GPS station deployment and data analysis. Links to data files and website with station and time-series information
Kreemer, C. University of Nevada
Apr 26, 2016
8 Resources
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8 Resources
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PoroTomo: Brady Geothermal Field InSAR Data
Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for Terr...
Reinisch, E. University of Wisconsin
Jul 11, 2017
6 Resources
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6 Resources
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Snake River Plain Geothermal Play Fairway Analysis Project MT Data
MT is measured in the field by using induction coils to measure the time-varying magnetic source for frequencies between 1000-0.001~Hz, and electric dipoles to measure the Earth's electrical response. Because the magnetic source field is polarized, orthogonal directions of the f...
Peacock, J. et al United States Geological Survey
May 06, 2018
3 Resources
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3 Resources
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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
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1 Resources
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Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Geomechanical Packer Formation Model Iteraction
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This presentation outlines the work in rock modelling and interaction with the ...
Ghassemi, A. et al Welltec
Jun 20, 2023
2 Resources
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2 Resources
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Utah FORGE Project 2439: A Multi-Component Approach to Characterizing In-Situ Stress
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Bunger, A. et al Battelle Memorial Institute
Dec 13, 2022
4 Resources
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4 Resources
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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
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1 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 22, 2021
14 Resources
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14 Resources
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Utah FORGE: 2019 ARMA Overview Slide Presentation
This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.
Moore, J. Energy and Geoscience Institute at the University of Utah
Aug 17, 2019
1 Resources
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1 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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3 Resources
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