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Title: Tularosa Basin Play Fairway: Weights of Evidence Models

Abstract

These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic and neural networks. It used to identify high values for potential geothermal plays and low values. The results are relative not only within the Tularosa Basin, but also throughout New Mexico, Utah, Nevada, and other places where high to moderate enthalpy geothermal systems are present (training sites).

Creator(s)/Author(s):
Publication Date:
Other Number(s):
657
DOE Contract Number:  
EE0006730
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; weights of evidence; play fairway analysis; pfa; wofe; tularosa; basin; new mexico; texas; exploration; stochastic; modelling; model; stochastic anlysis; geothermal exploration; post probability; probability
OSTI Identifier:
1261958
DOI:
10.15121/1261958

Citation Formats

Brandt, Adam. Tularosa Basin Play Fairway: Weights of Evidence Models. United States: N. p., 2015. Web. doi:10.15121/1261958.
Brandt, Adam. Tularosa Basin Play Fairway: Weights of Evidence Models. United States. doi:10.15121/1261958.
Brandt, Adam. 2015. "Tularosa Basin Play Fairway: Weights of Evidence Models". United States. doi:10.15121/1261958. https://www.osti.gov/servlets/purl/1261958. Pub date:Tue Dec 01 00:00:00 EST 2015
@article{osti_1261958,
title = {Tularosa Basin Play Fairway: Weights of Evidence Models},
author = {Brandt, Adam},
abstractNote = {These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic and neural networks. It used to identify high values for potential geothermal plays and low values. The results are relative not only within the Tularosa Basin, but also throughout New Mexico, Utah, Nevada, and other places where high to moderate enthalpy geothermal systems are present (training sites).},
doi = {10.15121/1261958},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {12}
}

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