Tularosa Basin Play Fairway Analysis

Brandt, Adam

doi:10.15121/1234656

Title: Tularosa Basin Play Fairway Analysis

Dataset
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Abstract

This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.

Authors:

Brandt, Adam

University of Utah

Publication Date:: Sun Nov 15 04:00:00 UTC 2015

Other Number(s):: 649

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; Fairway; Geothermal; Play; Tularosa; analysis; basin; certainty; composite; crs; dissolve; fort bliss; geothermal; heat; heat crs; mcgregor range; new mexico; pfa; play fairway analysis; risk; segment; sites; training; tularosa; union; weights of evidence

OSTI Identifier:: 1234656

DOI:: https://doi.org/10.15121/1234656

Citation Formats


                    Brandt, Adam. Tularosa Basin Play Fairway Analysis.  United States: N. p., 2015. 
        Web.  doi:10.15121/1234656.

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                    Brandt, Adam. Tularosa Basin Play Fairway Analysis.  United States.  doi:https://doi.org/10.15121/1234656

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                    Brandt, Adam. 2015.  
"Tularosa Basin Play Fairway Analysis".  United States.  doi:https://doi.org/10.15121/1234656.  https://www.osti.gov/servlets/purl/1234656. Pub date:Sun Nov 15 04:00:00 UTC 2015

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@article{osti_1234656,

  title        = {Tularosa Basin Play Fairway Analysis},

  author       = {Brandt, Adam},

  abstractNote = {This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.},

  doi          = {10.15121/1234656},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Nov 15 04:00:00 UTC 2015},

  month        = {Sun Nov 15 04:00:00 UTC 2015}

}

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DOI: https://doi.org/10.15121/1234656

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