Exploration Gap Assessment (FY13 Update)

Esposito, Ariel; Young, Katherine R.; Getman, Dan; Thorsteinsson, Hidda

doi:10.15121/1261919

Title: Exploration Gap Assessment (FY13 Update)

Dataset
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Abstract

This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data). The uploaded data are contained in two data files for each data category: A shape (SHP) file containing the grid, and a data file (CSV) containing the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to five data types: 1. well data 2. geologic maps 3. fault maps 4. geochemistry data 5. geophysical data

Authors:: Esposito, Ariel; Young, Katherine R.; Getman, Dan; Thorsteinsson, Hidda

Publication Date:: Mon Sep 30 00:00:00 EDT 2013

Other Number(s):: 263

DOE Contract Number:: FY13 AOP 2.2

Research Org.:: USDOE Geothermal Data Repository (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: National Renewable Energy Laboratory

Subject:: 15 Geothermal Energy

Keywords:: geothermal; shapefile; gap; nrel; gap assessment; ngds; national geothermal data system; geothermal prospector; well data; geologic maps; fault maps; geochemistry data; data coverage; data gaps; western US; dBase file; exploration; mineral; raw data; index file; geophysical; projection file; well; geologic; structure; structural maps; geochemistry; fault; paper; process; SGW; Stanford Geothermal Workshop; geospatial data

Geolocation:: 49.378264071349,-65.0816|24.906620000805,-65.0816|24.906620000805,-125.5392625|49.378264071349,-125.5392625|49.378264071349,-65.0816

OSTI Identifier:: 1261919

DOI:: https://doi.org/10.15121/1261919

Project Location:

Citation Formats


                    Esposito, Ariel, Young, Katherine R., Getman, Dan, and Thorsteinsson, Hidda. Exploration Gap Assessment (FY13 Update).  United States: N. p., 2013. 
        Web.  doi:10.15121/1261919.

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                    Esposito, Ariel, Young, Katherine R., Getman, Dan, & Thorsteinsson, Hidda. Exploration Gap Assessment (FY13 Update).  United States.  doi:https://doi.org/10.15121/1261919

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                    Esposito, Ariel, Young, Katherine R., Getman, Dan, and Thorsteinsson, Hidda. 2013.  
"Exploration Gap Assessment (FY13 Update)".  United States.  doi:https://doi.org/10.15121/1261919.  https://www.osti.gov/servlets/purl/1261919. Pub date:Mon Sep 30 00:00:00 EDT 2013

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@article{osti_1261919,

  title        = {Exploration Gap Assessment (FY13 Update)},

  author       = {Esposito, Ariel and Young, Katherine R. and Getman, Dan and Thorsteinsson, Hidda},

  abstractNote = {This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data). The uploaded data are contained in two data files for each data category: A shape (SHP) file containing the grid, and a data file (CSV) containing the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to five data types: 1. well data 2. geologic maps 3. fault maps 4. geochemistry data 5. geophysical data},

  doi          = {10.15121/1261919},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Sep 30 00:00:00 EDT 2013},

  month        = {Mon Sep 30 00:00:00 EDT 2013}

}

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DOI: https://doi.org/10.15121/1261919

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