GeoServer Web Feature Service

kgra_merge (gt_prospector:kgra_merge)

NULL

slp_gt30_dis (gt_prospector:slp_gt30_dis)

NULL

state_geothermal_ (gt_prospector:state_geothermal_)

This coverage shows the regions favorable for the discovery and shallow depth (less than 1000m) of thermal water of sufficient temperature for direct-heat applications. It is probable that only small areas of this region are truly underlain by such thermal water; the region represents that part of the state that deserves exploration for thermal areas. The region is defined on the basis of various geothermal and tectonic phenomena such as locations of thermal wells and springs, above-normal heat flow, youthful volcanism, mineralization, and seismicity

GT Geophysical Data (gt_prospector:gtp_gaptype_geophysical_data)

Data gap analysis funded by the Geothermal Technology Office aimed to determine high potential hydrothermal areas where critical data are needed to support initial exploration. Information was collected about existing data using a semi-automated process and data coverage maps were then created. Ten data types were chosen, including fault maps, geochemistry data, geological maps, geophysical data, lineament maps, mineral occurrence maps, structural maps, surface deformation maps, surface fault data, and well data. Some data types lack any usable data. 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 the data types. For more information, see: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf

smu_wells (gt_prospector:smu_wells)

Geochemical Data: SMU Well Data bases, Source: Southern Methodist University (SMU) (http://smu.edu/geothermal/georesou/usa.htm)

wa_geologic_map (gt_prospector:wa_geologic_map)

These data contain 1:100,000-scale polygons defining the extent and label of each geologic unit. The label is an abbreviation that represents the age, lithology, and name of a geologic unit. This feature class is part of a geodatabase that contains statewide 1:100,000-scale geology data for Washington State. Other feature classes are age_date_100k, contact_100k, dike_100k, dike_swarm_line_100k, dike_swarm_poly_100k, fault_100k, fold_100k, geologic_unit_point_100k, line_100k, structure_100k, and volcanic_vent_100k.

surfgeol_500k (gt_prospector:surfgeol_500k)

This dataset represents surficial geology of Wyoming at 1:500,000-scale. The layer contains 577 separate surficial feature (landforms) and deposit descriptions present on the surface in the state. Compiled from aerial photography and existing maps this layer represents the first comprehensive surficial geology map of Wyoming.

GT Geological Maps (gt_prospector:gtp_gaptype_geological_maps)

Data gap analysis funded by the Geothermal Technology Office aimed to determine high potential hydrothermal areas where critical data are needed to support initial exploration. Information was collected about existing data using a semi-automated process and data coverage maps were then created. Ten data types were chosen, including fault maps, geochemistry data, geological maps, geophysical data, lineament maps, mineral occurrence maps, structural maps, surface deformation maps, surface fault data, and well data. Some data types lack any usable data. 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 the data types. For more information, see: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf

gb_wells (gt_prospector:gb_wells)

Temperature at depth (O&G wells): Great Basin well database, Source: U.S. Geological Survey (http://pubs.usgs.gov/of/1999/of99-425/webmaps/database.xls)

all_wells_ten_million (gt_prospector:all_wells_ten_million)

public_lands_acecs (gt_prospector:public_lands_acecs)

REQUIRED: A brief narrative summary of the data set.

or_wa_land_ownership (gt_prospector:or_wa_land_ownership)

This theme portrays information related to surface jurisdiction of lands located in the states of Oregon and Washington.

minown (gt_prospector:minown)

This data was collected by the U.S. Bureau of Land Management (BLM) in New Mexico at both the New Mexico State Office and at the various field offices. This dataset is meant to depict the federal mineral (or subsurface) interest of land parcels within New Mexico. No attempt is made to depict the mineral interest of non-federal entities. BLMs Master Title Plats are the official land records of the federal government and serve as the primary data source for depiction of federal mineral interest lands. Auxilliary source are referenced, as well, for the depiction of federal mineral interest. Collection of this dataset began in the 1980s using the BLMs ADS software to digitize information at the 1:24,000 scale. In the mid to late 1990s the data was converted from ADS to ArcInfo software and merged into tiles of one degree of longitude by one half degree of latitude. These tiles were regularly updated. The tiles were merged into a statewide coverage. The source geodatabase for this shapefile was created by loading the merged ArcInfo coverage into a personal geodatabase. The geodatabase data were snapped to a more accurate GCDB derived land network, where available. In areas where GCDB was not available the data were snapped to digitized PLSS. This shapefile has been created by exporting the geodatabase feature class.

public_lands_trails (gt_prospector:public_lands_trails)

REQUIRED: A brief narrative summary of the data set.

kbge (gt_prospector:kbge)

NULL

EGS Favorability 2009 (gt_prospector:egsfavorability2009)

Source data for deep EGS includes temperature at depth from 3 to 10 km provided by Southern Methodist University Geothermal Laboratory (Blackwell and Richards, 2009) and analyses (for regions with temperatures >= 150 degrees C) performed by NREL (2009). Class values reflect relative favorability, with 1 being most favorable, 5 being least favorable, and 999 not having been assessed due to temperatures less than 150 degrees C at 10 km depth.

nfs_lands_merge (gt_prospector:nfs_lands_merge)

REQUIRED: A brief narrative summary of the data set.

favorabilitysurface (gt_prospector:favorabilitysurface)

NULL

GT Fault Maps (gt_prospector:gtp_gaptype_fault_maps)

Data gap analysis funded by the Geothermal Technology Office aimed to determine high potential hydrothermal areas where critical data are needed to support initial exploration. Information was collected about existing data using a semi-automated process and data coverage maps were then created. Ten data types were chosen, including fault maps, geochemistry data, geological maps, geophysical data, lineament maps, mineral occurrence maps, structural maps, surface deformation maps, surface fault data, and well data. Some data types lack any usable data. 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 the data types. For more information, see: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf

stateown_region_surface (gt_prospector:stateown)

This dataset represents Surface and Mineral Ownership for the state of Wyoming. This dataset is intented to represent the ownership information on Master Title Plats(MTPs). Surface ownership will be identified by the Agency of Juridiction, when the surface is Federal. All other parcels will be identified as either Private or State. Private parcels do not identify the name of the individual owner. Mineral ownership identifies only the Federal interest.

Geologic Mapping (gt_prospector:gtp_datagap_geologic_mapping)

Geologic Mapping Geothermal Data Gap Analysis identified candidate sites for geologic mapping. Assessed data availability and proximity to existing projects produced by the National Renewable Energy Laboratory. Last updated December 4, 2012.

GT Geochemistry Data (gt_prospector:gtp_gaptype_geochemistry_data)

Data gap analysis funded by the Geothermal Technology Office aimed to determine high potential hydrothermal areas where critical data are needed to support initial exploration. Information was collected about existing data using a semi-automated process and data coverage maps were then created. Ten data types were chosen, including fault maps, geochemistry data, geological maps, geophysical data, lineament maps, mineral occurrence maps, structural maps, surface deformation maps, surface fault data, and well data. Some data types lack any usable data. 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 the data types. For more information, see: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf

geothermallcoe_noexclusionsforatlas (gt_prospector:geothermallcoe_noexclusionsforatlas)

Qualitative assessment of geothermal potential (Enhanced Geothermal System EGS) for the US based on Levelized Cost of Electricity.

public_lands_wsas (gt_prospector:public_lands_wsas)

REQUIRED: A brief narrative summary of the data set.

Test Data - More than a Million (gt_prospector:all_wells_temp)

Active Leases (gt_prospector:gtp_datagap_active_leases)

Sites with Active Leases Geothermal Data Gap Analysis identified sites with active leases. Assessed data availability and proximity to existing projects produced by the National Renewable Energy Laboratory. Last updated December 4, 2012.

geohgb_0 (gt_prospector:geohgb_0)

Geothermometry (waters): GB hot spring & well analyses, Source: Great Basin College and the University of Nevada, Reno

nvblmleasenom09 (gt_prospector:nvblmleasenom09)

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