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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).

Authors:

  1. University of Utah
Publication Date:
Other Number(s):
657
DOE Contract Number:  
EE0006730
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)
Collaborations:
University of Utah
Subject:
15 GEOTHERMAL ENERGY; basin; exploration; geothermal; geothermal exploration; model; modelling; new mexico; pfa; play fairway analysis; post probability; probability; stochastic; stochastic anlysis; texas; tularosa; weights of evidence; wofe
OSTI Identifier:
1261958
DOI:
https://doi.org/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:https://doi.org/10.15121/1261958
Brandt, Adam. 2015. "Tularosa Basin Play Fairway: Weights of Evidence Models". United States. doi:https://doi.org/10.15121/1261958. https://www.osti.gov/servlets/purl/1261958. Pub date:Tue Dec 01 04:00:00 UTC 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 = {Tue Dec 01 04:00:00 UTC 2015},
month = {Tue Dec 01 04:00:00 UTC 2015}
}