Gap Assessment FY 13 Update
To help guide its future data collection efforts The DOE GTO funded a data gap analysis in FY2012 to identify high potential hydrothermal areas where critical data are needed. This analysis was updated in FY2013 and the resulting datasets are represented by this metadata. The original process was published in FY 2012 and is available here https//pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf Though there are many types of data that can be used for hydrothermal exploration five types of exploration data were targeted for this analysis. These data types were selected for their regional reconnaissance potential and include many of the primary exploration techniques currently used by the geothermal industry. The data types include 1. well data 2. geologic maps3. fault maps4. geochemistry data5. geophysical dataTo determine data coverage metadata for exploration data including data type data status and coverage information were collected and catalogued from nodes on the National Geothermal Data System NGDS. It is the intention of this analysis that the data be updated from this source in a semi-automated fashion as new datasets are added to the NGDS nodes. In addition to this upload an online tool was developed to allow all geothermal data providers to access this assessment and to directly add metadata themselves and view the results of the analysis via maps of data coverage in Geothermal Prospector http//maps.nrel.gov/gt_prospector. A grid of the contiguous U.S. was created with 88000 10-km by 10-km grid cells and each cell was populated with the status of data availability corresponding to the five data types. Using these five data coverage maps and the USGS Resource Potential Map sites were identified for future data collection efforts. These sites signify both that the USGS has indicated high favorability of occurrence of geothermal resources and that data gaps exist.The uploaded data are contained in two data files for each data category. The first file contains the grid and is in the SHP file format shape file. Each populated grid cell represents a 10k area within which data is known to exist. The second file is a CSV comma separated value file that contains all of 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. The attributes in the CSV include1.grid_id The id of the grid cell that the data intersects with2.title This represents the name of the WFS service that intersected with this grid cell3.abstract This represents the description of the WFS service that intersected with this grid cell4.gap_type This represents the category of data availability that these data fall within. As the current processing is pulling data from NGDS this category universally represents data that are available in the NGDS and are ready for acquisition for analytic purposes.5.proprietary_type Whether the data are considered proprietary 6.service_type The type of service7.base_url The service URL
- Originated 10/26/2016 by National Renewable Energy Laboratory.
2 ResourcesThis submission is not yet available for download.
Keywordsshapefile gap nrel gap assessment ngds national geothermal data system geothermal prospector dBase file exploration mineral raw data index file geophysical projection file well geologic structure structural maps geochemistry fault hydrothermal
National Renewable Energy Laboratory
by , Center 6A42
- Dan Getman
Cite this dataset:
Getman, Dan (2014): Gap Assessment FY 13 Update. National Renewable Energy Laboratory. https://dx.doi.org/10.15121/1148800
About this dataset
- Energy Analysis
- Geothermal Energy
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