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:
-
- 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}
}
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