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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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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...

Bunger, A. Energy and Geoscience Institute at the University of Utah

Sep 04, 2024
1 Resources
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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...

Kelley, M. and Bunger, A. Battelle Memorial Institute

Sep 08, 2023
1 Resources
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Utah FORGE 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2024 Annual Workshop Presentation

This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...

Ghassemi, A. and Jeffery, R. Energy and Geoscience Institute at the University of Utah

Sep 02, 2024
1 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...

Kelley, M. et al Battelle Memorial Institute

Jun 19, 2023
1 Resources
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Utah FORGE 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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Utah FORGE: GeoThermOPTIMAL Video

This is a project description video by Dr. William W. Fleckenstein related to their "Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores" R&D project at Utah FORGE which is linked...

Fleckenstein, W. Colorado School of Mines

Dec 12, 2022
2 Resources
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Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...

Fleckenstein, W. et al Colorado School of Mines

Oct 05, 2022
1 Resources
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Utah FORGE 1-2551: Development of a Multi-Stage Fracturing System and Wellbore Tractor 2024 Annual Workshop Presentation

This is a presentation on the Development of a Multi-Stage Fracturing System and Wellbore Tractor by Colorado School of Mines, presented by William Fleckenstein. This video describes (1) the development and use of a low-cost and rapid multistage fracture stimulation technology wit...

Fleckenstein, W. Energy and Geoscience Institute at the University of Utah

Jan 13, 1970
1 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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Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Pressure data from a phreatic aquifer was collected in the summer of 2013 during Multi-frequency Oscillatory Hydraulic Tomography pumping tests. All tests were performed at the Boise Hydrogeophysical Research Site. The data will be inverted using a fast steady-periodic adjoint-bas...

Lim, D. University of Wisconsin

Jul 17, 2013
20 Resources
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Programs and Code for Subsurface and MultiSite Geothermal Exploration Artificial Intelligence

This dataset provides Python scripts supporting both subsurface and surface geothermal exploration AI models developed for the project "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning." It includes two main components: (1) scripts fo...

Demir, E. and Duzgun, S. Colorado School of Mines

Sep 01, 2023
2 Resources
1 Stars
Curated

Utah FORGE 1-2551: Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores Workshop Presentation and Report

Included here are a presentation recording, slides, and report on the Multi-Stage Fracturing System and Well Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores project by Colorado School of Mines, presented by Dr. William W. Fleckenstei...

Fleckenstein, W. et al Colorado School of Mines

Sep 08, 2023
3 Resources
0 Stars
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PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...

Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)

Dec 18, 2018
5 Resources
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Maui LiDAR

Light Detection and Ranging (LiDAR) data for the Maui study area in South Maui, collected by Watershed Sciences, Inc. (WS) on October 29th, 2011 and from November 7th, 2011 to November 10th, 2011.

Akerley, J. Ormat Nevada Inc

Nov 10, 2011
1 Resources
0 Stars
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Wister, CA Downhole and Seismic Data

This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...

Akerley, J. Ormat Nevada Inc

Dec 18, 2010
16 Resources
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Ormat Maui Project 2011 Peer Review Presentation: Blind Geothermal System Exploration in Active Volcanic Environments

Geothermal Technologies Program Peer Review Presentation on Blind Geothermal System Exploration in Active Volcanic Environments. Includes plans and statuses for multi-phase geophysical and geochemical surveys in overt and subtle volcanic systems in Hawaii and Maui.

Martini, B. Ormat Nevada Inc

Jun 07, 2011
1 Resources
0 Stars
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Membrane Specifications for Multi-Configuration Membrane Distillation Model

The data includes the membrane properties and specifications used for multi-configuration membrane distillation desalination. In this study, membranes from CLARCOR, 3M, and Aquastill are tested in counter-current, co-current and air-gap configurations at Colorado School of Mines (...

Villa, D. et al National Renewable Energy Laboratory

Mar 01, 2018
7 Resources
0 Stars
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Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Seismic

The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...

Lowry, T. et al Nevada Bureau of Mines and Geology

Mar 29, 2018
6 Resources
0 Stars
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EGS Collab Experiment 1: Second Set Tracer Test Results

The EGS Collab project is developing ~10-20 m-scale field sites where fracture stimulation and flow models can be validated against controlled, small-scale, in-situ experiments. The first multi-well experimental site was established at the 4850 level in the Homestake Mine in Lead,...

Neupane, G. et al Idaho National Laboratory

Dec 19, 2019
4 Resources
0 Stars
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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
0 Stars
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Peer Review Presentation: Blind Geothermal System Exploration in Active Volcanic Environments

Martini, B. Ormat Nevada Inc

May 19, 2010
2 Resources
0 Stars
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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
0 Stars
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Kilauea Magnetotelluric Dataset

In 2002 and 2003 a collaborative effort was undertaken between Lawrence Berkeley National Laboratory, Sandia National Laboratories, the USGS Menlo Park, the USGS Hawaiian Volcano Observatory, and Electromagnetic Instruments Inc. to study the Kilauea volcano in Hawaii using the mag...

Hoversten, G. and Gasperikova, E. Lawrence Berkeley National Laboratory

Jun 16, 2022
72 Resources
0 Stars
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geophysics GIS Data

Lowry, T. Nevada Bureau of Mines and Geology

Mar 29, 2018
1 Resources
0 Stars
Publicly accessible

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