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Washington Play Fairway Analysis Analysis of High Precision GPS Time Series and Strain Rates for the Cascade Range

Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscope's Plate Boundary Observatory (PBO) and Central Washington University's Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the "spli...

Swyer, M. AltaRock Energy Inc

Feb 22, 2015
2 Resources
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EGS Collab Experiment 2: Wireline Geophysical Well Logs

This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #2 testbed. A metadata fill is included within the dataset explaining the logs, fracture picks, etc. Eleven boreholes were drilled for this testbed and each one was logged with north s...

Ulrich, C. and Schwering, P. Lawrence Berkeley National Laboratory

Jul 09, 2019
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GEOPHIRES files for DDU techno-economic simulations

During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...

Beckers, K. and Kolker, A. National Renewable Energy Laboratory

Mar 31, 2021
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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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S-Layer Nanosheet Binding of Zn and Gd

This data characterizes binding of Zn2+ and Gd3+ to engineered nanosheets at 40C and in a brine solution. The engineered nanosheets are composed of surface-layer (S-layer) proteins which form 2 D crystalline sheets and display Zn2+ or Gd3+-binding domains on these sheets. Their ab...

Ajo-Franklin, C. et al Lawrence Berkeley National Laboratory

Apr 15, 2016
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Effective Elastic and Neutron Capture Cross Section Calculations Corresponding to Simulated Fluid Properties from CO2 Push-Pull Simulations

The submission contains a .xls files consisting of 10 excel sheets, which contain combined list of pressure, saturation, salinity, temperature profiles from the simulation of CO2 push-pull using Brady reservoir model and the corresponding effective compressional and shear velocity...

Chugunov, N. and Altundas, B. Lawrence Berkeley National Laboratory

Mar 07, 2018
1 Resources
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Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Full Moment Tensors and Stress Inversion Catalogs

This submission contains 167 full moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities. Also included are the azimuth and plunge angles for the three main stress directions sigma1, sigma 2 and sigma 3 at the P...

Gritto, R. et al Array Information Technology

Sep 26, 2018
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EGS Collab: 3D Geophysical Model Around the Sanford Underground Research Facility

This package contains data associated with a proceedings paper (linked below) submitted to the 44th Workshop on Geothermal Reservoir Engineering. The Geophysical Model text file contains density, P and S-wave seismic speeds on a 3D grid. The file has six columns and provides latit...

Chai, C. et al Lawrence Berkeley National Laboratory

Feb 06, 2019
3 Resources
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EGS Collab Experiment 1: Common Discrete Fracture Network

This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...

Schwering, P. et al Sandia National Laboratories

Sep 18, 2019
4 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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GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

This submission includes example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Kahunanui (KHN) fictional geothermal power plant, which uses synthetic data to model a fictional plant. Includes data curation, histo...

Taverna, N. et al Upflow

Jan 30, 2023
10 Resources
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In progress

Investigation of Stimulation-Response Relationships for Complex Fracture Systems in Enhanced Geothermal Reservoirs

Hydraulic fracturing is currently the primary method for stimulating low-permeability geothermal reservoirs and creating Enhanced (or Engineered) Geothermal Systems (EGS) with improved permeability and heat production efficiency. Complex natural fracture systems usually exist in ...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2011
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Glass Buttes Exploration and Drilling: 2010 Geothermal Technologies Program Peer Review Presentation

Glass Buttes Exploration and Drilling: 2010 Geothermal Technologies Program Peer Review Presentation, Walsh, et al, Ormat

Walsh, P. Ormat Nevada Inc

Jan 01, 2010
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GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...

Beckers, K. National Renewable Energy Laboratory

Jun 30, 2020
1 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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Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques

This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associa...

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications

The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2011
2 Resources
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Identifying Pathways for Enhanced Collaboration between the Mining and Geothermal Industries Techno-Economic Analysis and Data Summaries

These spreadsheets include a Techno-Economic Analysis (TEA) summary and descriptions and links to mining data analyzed as part of this study. The TEA summary includes the results from several mining data-informed geothermal development models analyzed using the DOE's Geothermal El...

Rhodes, G. et al National Renewable Energy Laboratory

Mar 31, 2020
2 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
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Evaluation Data of a High Temperature COTS (Commercial Off-the-Shelf) Flash Memory Module (TI SM28VLT32) for Use in Geothermal Electronics Packages

The accompanying raw data is composslection. Each file is 3 columns and tab-delimited with the first column being the data address, the second column being the first byte of the data, and the third column being the second byte of the data.

Cashion, A. Sandia National Laboratories

Aug 29, 2014
22 Resources
1 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
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Structural Data for the Columbus Salt Marsh Geothermal Area GIS Data

Shapefiles and spreadsheets of structural data, including attitudes of faults and strata and slip orientations of faults. Detailed geologic mapping of ~30 km2 was completed in the vicinity of the Columbus Marsh geothermal field to obtain critical structural data that would elucid...

E., J. University of Nevada

Dec 31, 2011
1 Resources
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Funding Mechanisms for Federal Geothermal Permitting

This submission includes a presentation and paper for the Geothermal Resources Council (GRC) that discuss: Federal agency revenues received for geothermal projects, including: (1) lease revenues, (2) fixed fees, and (3) cost recovery fees for the Bureau of Land Management (BLM) a...

Young, K. et al National Renewable Energy Laboratory

Sep 30, 2013
2 Resources
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EGS Collab Experiment 2: Core Logs

Core logs and photos from the EGS Collab project Experiment 2 for the Top Vertical well (TV4100) and the Top Horizontal well (TV 4100) on the 4100 Level of SURF (the Sanford Underground Research Facility). The core logs are stored in a single PDF file with 5-ft run intervals. In t...

Dobson, P. et al Lawrence Berkeley National Laboratory

Jul 08, 2019
7 Resources
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Practices Maintain Straight Hole in Crooked Hole Conditions, While Also Enabling Significant Gains in Drill Rate

Bottom hole assembly (BHA) designs were assessed in field trials for their ability to achieve critical low inclination requirements, while simultaneously enabling high drill rates. Because angle has historically been controlled by reducing weight on bit (WOB), these are often com...

Knudsen, S. et al Sandia National Laboratories

Apr 30, 2014
2 Resources
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Curated

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