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SMP Preparation, Programming, and Characterization

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

Oil and Gas Basins in Alaska

Oil and gas basins in Alaska, available as GIS shape files. Digitized by Alaska Department of Natural Resources (ADNR), Information Resource Management Section. Digitized from DGGS publication, Special Report 32, Oil and Gas Basins Map of Alaska 1983, by Arlen Ehm. ### License ...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 1983
2 Resources
0 Stars
In curation

Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
Publicly accessible

Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
Publicly accessible

Alaska's Coal Resources: Special Report SR 37 (1986)

This GIS data contains the location of coal resources within the Sate of Alaska and was created in cooperation with the Alaska Coal Association. Total hypothetical coal resources in Alaska exceed 5.5 trillion short tons, equal to about half the estimated coal resources of the Unit...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Nov 29, 2007
2 Resources
0 Stars
In curation

Geothermal Resources of Alaska (published 1983)

Geothermal resources in Alaska, provided as GIS shape files and .kmz files (for viewing in Google Earth). Between 1979 and 1982, the Alaska Division of Geological and Geophysical Surveys (DGGS) and the Geophysical Institute, University of Alaska Fairbanks, undertook an assessment ...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Aug 30, 2006
2 Resources
0 Stars
In curation

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...

Tripp, C. et al National Renewable Energy Laboratory

May 20, 2022
4 Resources
0 Stars
Publicly accessible

Iowa High Resolution Wind Resource

Annual average wind resource potential for the state of Iowa at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was generate...