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Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets

Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM

Rose, K. National Energy Technology Laboratory

Apr 22, 2016
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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
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Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual 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 by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...

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

Aug 25, 2024
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CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado

Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of ...

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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Utah FORGE: Area 0.5 m LiDAR Data

During the Fall of 2016 AGRC and the Utah Geological Survey acquired ~205 square miles of 8 points per meter Quality Level 1 LiDAR of The Frontier Observatory for Research in Geothermal Energy (FORGE) area around Milford, Utah in Beaver and Millard Counties in western Utah. The 0....

Allis, R. Energy and Geoscience Institute at the University of Utah

Oct 01, 2016
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Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...

Duzgun, H. et al Colorado School of Mines

Jan 08, 2021
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InSAR Maps of Deformation Covering Raft River, Idaho from 2007 to 2010

This dataset contains maps of deformation covering Raft River, Idaho from 2007 to 2010 calculated from interferometric synthetic aperture radar data. This dataset is used in the study entitled "Inferring geothermal reservoir processes at the Raft River Geothermal Field, Idaho, US...

Reinisch, E. University of Wisconsin

Mar 11, 2007
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DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...

Pauling, H. et al National Renewable Energy Laboratory

Jun 30, 2023
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