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Title: Geothermal Exploration Raster Files for Utah Play Fairway Analysis

Abstract

This submission contains raster files associated with several datasets that include earthquake density, Na/K geothermometers, fault density, heat flow, and gravity. Integrated together using spatial modeler tools in ArcGIS, these files can be used for play fairway analysis in regard to geothermal exploration.

Creator(s)/Author(s):
Publication Date:
Other Number(s):
936
DOE Contract Number:  
EE0006732
Product Type:
Dataset
Research Org.:
DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Subject:
15 Geothermal Energy
Keywords:
geothermal; energy; exploration; play fairway analysis; gravity; heat; earthquake; fault; geothermometer; utah; sevier; PFA; western; raster; heat flow; fault systems; spatial; geospatial; eastern; great basin; eastern great basin; geospatial data; geophysics; characterization
OSTI Identifier:
1366426
DOI:
10.15121/1366426

Citation Formats

Wannamaker, Phil. Geothermal Exploration Raster Files for Utah Play Fairway Analysis. United States: N. p., 2017. Web. doi:10.15121/1366426.
Wannamaker, Phil. Geothermal Exploration Raster Files for Utah Play Fairway Analysis. United States. doi:10.15121/1366426.
Wannamaker, Phil. 2017. "Geothermal Exploration Raster Files for Utah Play Fairway Analysis". United States. doi:10.15121/1366426. https://www.osti.gov/servlets/purl/1366426. Pub date:Fri Jun 16 00:00:00 EDT 2017
@article{osti_1366426,
title = {Geothermal Exploration Raster Files for Utah Play Fairway Analysis},
author = {Wannamaker, Phil},
abstractNote = {This submission contains raster files associated with several datasets that include earthquake density, Na/K geothermometers, fault density, heat flow, and gravity. Integrated together using spatial modeler tools in ArcGIS, these files can be used for play fairway analysis in regard to geothermal exploration.},
doi = {10.15121/1366426},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {6}
}

Dataset:

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