Washington Geothermal Play Fairway Analysis Heat, Permeability, and Fracture Model Data


This submission contains raster and vector data for the entire state of Washington, with specific emphasis on the three geothermal play fairway sites: Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV), and Mount Baker (MB). Data are provided for 3 major geothermal models: heat, permeability, and fluid-filled fractures, and an additional infrastructure model. Both of the permeability and fluid-filled-fracture models are produced at 200 m and at 2 km depths; the heat model is only produced at the 200 m depth. Values are provided for both model favorability and model confidence. A combined model at 200m and 2 km depths is provided for favorability, confidence, and exploration risk.

Raster data are provided in GeoTiff format and have a statewide coverage. Cell size is 104.355 ft; file type is unsigned 8-bit integer (0-255); 0 represents no favorability or confidence; 255 represents maximum favorability or confidence. The NAD83(HARN)/Washington South (ftUS) projection is used (EPSG:2927). Vector data are provided in shapefile or comma-delimited text file formats. Geographic coordinates, where provided, are in WGS84. A readme file accompanies each folder and provides an overview and description of the enclosed data.

The heat model combines 5 intermediate raster layers (which are included in the download package): temperature gradient wells, young volcanic vents, hot springs, young intrusive volcanic rocks, and geothermometry. The permeability model combines 8 intermediate raster layers: density of mapped faults, 2D dilation tendency of mapped faults, 2D slip tendency of mapped faults, seismicity, 3D dilation tendency, 3D slip tendency, 3D maximum coulomb shear stress, and 3D slip gradients. The fluid-filled fracture model combines up to 4 intermediate rasters: resistivity from magneto-telluric 3D inversions, seismicity, Vp/Vs anomalies from passive seismic tomography, and Vs anomalies from ambient-noise tomography.

A statewide infrastructure model is also provided that formalizes land-use constraints and restrictions relevant for geothermal prospecting and development. This model combines 10 intermediate rasters: areas off limits to drilling, existing or proposed geothermal leases, DNR-owned land, land-use restrictions along the Columbia River Gorge, areas inundated by water, availability of potential process water, proximity to existing roads, proximity to transmission lines, distance from urban areas, and snow-related elevation restrictions.

Supporting vector data for the development of each raster layer is provided.

For details on the areas of interest and modeling process please see the 'WA_State_Play_Fairway_Phase_2_Technical_Report' in the download package.

9 Resources

*downloads since 2019

Related Datasets

Datasets associated with the same DOE project
  Submission Name Resources Submitted Status

Additional Info

DOE Project Name: Geothermal Play-Fairway Analysis of Washington State Prospects
DOE Project Number: EE0006728
DOE Project Lead: Eric Hass
DOI: 10.15121/1452728
Last Updated: over a year ago
Data from December, 2017
Submitted Dec 24, 2017


Washington Geological Survey



Publicly accessible License 


Alex Steely
Washington Geological Survey
Corina Forson
Washington Geological Survey
Trenton Cladouhos
AltaRock Energy Inc
Mike Swyer
AltaRock Energy Inc
Nicholas Davatzes
Temple University
Megan Anderson
Colorado College
Brent Ritzinger
U.S. Geological Survey
Jonathan Glen
U.S. Geological Survey
Jared Peacock
U.S. Geological Survey
William Schermerhorn
Western Washington University


geothermal, energy, play fairway, Washington, model, confidence, favorability, risk, mt, magnetotellurics, seismicity, seismic, velocity, p-wave, s-wave, geothermometry, intrusive rock, springs, temperature gradient, volcanic vents, land use, process water, transmission, urban, water, groundwater, geophysics, fault, slip, dilation, tendancy, coulomb shear stress, slip gradient, poly3d, pfa, shapefiles, ArcGIS, shape file, geospatial data, modeling, mapping, integrated, inverse, inversion, Washington State


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