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Project Hotspot Petrology, Geochemistry and Stratigraphy of the Kimama core hole, Snake River Plain, Idaho

Mar 19, 2019
Size unavailable
Publicly accessible
This submission contains links to two open source published papers on the Kimama core hole, Project Hotspot. "Volcanic stratigraphy and age model of the Kimama deep borehole (Project Hotspot)" Basalts erupted in the Snake River Plain of central Idaho and sampled in the Kimama dri...
Authors
Shervais, J. et al Utah State University
geothermalenergybasaltslimhole drillinggeochemistryborehole geophysicsprocessed dataidahokimamasnake river plain

Snake River Plain Play Fairway Analysis Favorability Models

Jun 01, 2020
Size unavailable
Publicly accessible
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...
Authors
DeAngelo, J. et al Utah State University
geothermalenergygissnake river plainplay fairway analysissrppfaidahorasterarcgisshapefileblindresourcecharacterizationgeospatial datafavorabilitymodelgeologicgeophysicalmodelingprocessed data

Model results and data for Nontechnical Barriers to Geothermal Development

Jul 25, 2022
73.96 kB
Publicly accessible
Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...
Authors
Rabinowitz, H. et al Pacific Northwest National Laboratory
geothermalenergyppapro formanontechnical barriersexcelprocessed dataostipower purchase agreementfeasibilityeconomiccostregression analysisassessmentu.s. department of energy office of scientific and technical informationelectricitypower production

Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

Feb 21, 2014
105.74 MB
Publicly accessible
The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...
Authors
Shervais, J. et al Utah State University
geothermalenergyslimhole drillingsnake river plaininnovative explorationkimamakimberlymountain homebasaltrhyolitegeophysicsgeochemistrytechnicalassessmentprocessed dataidahoconceptual model

Fallon FORGE: Seismic Reflection Profiles

Feb 01, 2018
33.35 MB
Publicly accessible
Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model. Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-...
Authors
Blankenship, D. et al Sandia National Laboratories
geothermalenergyforgeegsfallonnevadaseismicreflectionvetted-nodepth migrationgeophysicsprocessed dataprestackinterpretedsite mapsurvey mapreprocessed datareprocesseddata

Hourly Thermal Load Profiles for U.S. Manufacturing Subsectors

Apr 24, 2026
3.92 MB
Publicly accessible
This dataset includes a consistent framework of annual, quarterly, and hourly energy demand and operational profiles for 63 U.S. manufacturing subsectors defined by NAICS classification, building on the county-level demand dataset "Updated U.S. Low-Temperature Heating and Cooling ...
Authors
Oh, H. et al National Laboratory of the Rockies
geothermalenergythermal energy demandindustrial energy demandmanufacturingu.s. manufacturingnaicseia mecsqpchourly load profilesoperating schedulescapacity utilizationprocess heatingprocess coolingrefrigerationboiler usefacility heatingfacility coolingend-use energyfuel typeprocessed data

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
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...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical