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Shallow EGS Regional Resource Potential and Map Snake River Plain

SMU Geothermal Lab developed a methodology to estimate shallow (1 km to 4 km) Enhanced Geothermal Systems (EGS) resource potential using an approach that utilizes recent geology and geophysical research along with new well data to improve the thermal conductivity model, mitigate i...

Batir, J. et al Southern Methodist University Huffington Department of Earth Sciences

Oct 30, 2020
2 Resources
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Snake River Plain Play Fairway Analysis: Phase 1 Report

This presents the results of Phase 1 of the Snake River Plain Play Fairway Analysis project, along with a proposed work for Phase 2. No new data were collected, but we list data sources for our compilation. The Snake River volcanic province (SRP) overlies a thermal anomaly that e...

Shervais, J. et al Utah State University

Jan 25, 2016
1 Resources
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Snake River Plain Geothermal Play Fairway Analysis Heat, Permeability, and Seal CRS Map Raster Files

Snake River Plain Play Fairway Analysis Phase 1 CRS Raster Files. This dataset contains raster files created in ArcGIS. These raster images depict Common Risk Segment (CRS) maps for HEAT, PERMEABILITY, AND SEAL, as well as selected maps of Evidence Layers. These evidence layers c...

Shervais, J. Utah State University

Oct 09, 2015
38 Resources
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Snake River Plain Play Fairway Analysis Favorability Models

This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...

DeAngelo, J. et al Utah State University

Jun 01, 2020
4 Resources
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Play Fairway Analysis Retrospective GeoRePORTs

NREL, as part of the Play Fairway Analysis (PFA) Retrospective and with assistance from PFA PIs, completed GeoRePORTs for the sites identified in Phases 1&2 of the DOE PFA projects. The GeoRePORT (geothermal resource portfolio optimization and reporting technique) uses two factor...

Kolker, A. et al National Renewable Energy Laboratory

Dec 01, 2020
36 Resources
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Awaiting release