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Title: SE Great Basin Play Fairway Analysis

Abstract

Within this submission are multiple .tif images with accompanying metadata of magnetotelluric conductor occurrence, fault critical stress composite risk segment (CRS), permeability CRS, Quaternary mafic extrusions, Quaternary fault density, and Quaternary rhyolite maps. Each of these contributed to a final play fairway analysis (PFA) for the SE Great Basin study area.

Creator(s)/Author(s):
Publication Date:
Other Number(s):
642
DOE Contract Number:  
EE0006732
Product Type:
Dataset
Research Org.:
DOE Geothermal Data Repository; 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; Utah; SE great basin; exploration; play fairway analysis; pfa; crs; composite risk segment; MT; critical stress; permeability; basalt; fault; rhyolite; quaternary; map; utah; magnetotelluric; mt; conductor; occurence; fluid flow; lineaments; faults; quaternary faults; fault density; probability
OSTI Identifier:
1261950
DOI:
10.15121/1261950

Citation Formats

Brandt, Adam. SE Great Basin Play Fairway Analysis. United States: N. p., 2015. Web. doi:10.15121/1261950.
Brandt, Adam. SE Great Basin Play Fairway Analysis. United States. doi:10.15121/1261950.
Brandt, Adam. 2015. "SE Great Basin Play Fairway Analysis". United States. doi:10.15121/1261950. https://www.osti.gov/servlets/purl/1261950. Pub date:Sun Nov 15 00:00:00 EST 2015
@article{osti_1261950,
title = {SE Great Basin Play Fairway Analysis},
author = {Brandt, Adam},
abstractNote = {Within this submission are multiple .tif images with accompanying metadata of magnetotelluric conductor occurrence, fault critical stress composite risk segment (CRS), permeability CRS, Quaternary mafic extrusions, Quaternary fault density, and Quaternary rhyolite maps. Each of these contributed to a final play fairway analysis (PFA) for the SE Great Basin study area.},
doi = {10.15121/1261950},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {11}
}

Dataset:

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