Washington Geothermal Play Fairway Analysis Data From Potential Field Studies

Anderson, Megan; Ritzinger, Brent; Glen, Jonathan; Schermerhorn, William

doi:10.15121/1452729

Title: Washington Geothermal Play Fairway Analysis Data From Potential Field Studies

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Abstract

A recent study which adapts play fairway analysis (PFA) methodology to assess geothermal potential was conducted at three locations (Mount Baker, Mount St. Helens seismic zone, and Wind River valley) along the Washington Cascade Range (Forson et al. 2017). Potential field (gravity and magnetic) methods which can detect subsurface contrasts in physical properties, provides a means for mapping and modeling subsurface geology and structure. As part of the WA-Cascade PFA project, we performed potential field studies by collecting high-resolution gravity and ground-magnetic data, and rock property measurements to (1) identify and constrain fault geometries (2) constrain subsurface lithologic distribution (3) study fault interactions (4) identify areas favorable to hydrothermal flow, and ultimately (5) guide future geothermal exploration at each location.

Authors:: Anderson, Megan; Ritzinger, Brent; Glen, Jonathan; Schermerhorn, William

Publication Date:: Wed Dec 20 00:00:00 EST 2017

Other Number(s):: 995

DOE Contract Number:: EE0006728

Research Org.:: USDOE Geothermal Data Repository (United States); Washington Geological Survey

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)

Collaborations:: Washington Geological Survey

Subject:: 15 Geothermal Energy

Keywords:: geothermal; energy; gravity; magnetics; potential fields; play fairway; washington; land use; process water; transmission; urban areas; water; shapefile; ArcGIS; geospatial data; GIS; site assessment; site characterization; geophysics; geophysical; survey; exploration; investigation; pfa

Geolocation:: 49.0,-117.0|45.5,-117.0|45.5,-125.0|49.0,-125.0|49.0,-117.0

OSTI Identifier:: 1452729

DOI:: https://doi.org/10.15121/1452729

Project Location:

Citation Formats


                    Anderson, Megan, Ritzinger, Brent, Glen, Jonathan, and Schermerhorn, William. Washington Geothermal Play Fairway Analysis Data From Potential Field Studies.  United States: N. p., 2017. 
        Web.  doi:10.15121/1452729.

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                    Anderson, Megan, Ritzinger, Brent, Glen, Jonathan, & Schermerhorn, William. Washington Geothermal Play Fairway Analysis Data From Potential Field Studies.  United States.  doi:https://doi.org/10.15121/1452729

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                    Anderson, Megan, Ritzinger, Brent, Glen, Jonathan, and Schermerhorn, William. 2017.  
"Washington Geothermal Play Fairway Analysis Data From Potential Field Studies".  United States.  doi:https://doi.org/10.15121/1452729.  https://www.osti.gov/servlets/purl/1452729. Pub date:Wed Dec 20 00:00:00 EST 2017

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@article{osti_1452729,

  title        = {Washington Geothermal Play Fairway Analysis Data From Potential Field Studies},

  author       = {Anderson, Megan and Ritzinger, Brent and Glen, Jonathan and Schermerhorn, William},

  abstractNote = {A recent study which adapts play fairway analysis (PFA) methodology to assess geothermal potential was conducted at three locations (Mount Baker, Mount St. Helens seismic zone, and Wind River valley) along the Washington Cascade Range (Forson et al. 2017). Potential field (gravity and magnetic) methods which can detect subsurface contrasts in physical properties, provides a means for mapping and modeling subsurface geology and structure. As part of the WA-Cascade PFA project, we performed potential field studies by collecting high-resolution gravity and ground-magnetic data, and rock property measurements to (1) identify and constrain fault geometries (2) constrain subsurface lithologic distribution (3) study fault interactions (4) identify areas favorable to hydrothermal flow, and ultimately (5) guide future geothermal exploration at each location.},

  doi          = {10.15121/1452729},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Dec 20 00:00:00 EST 2017},

  month        = {Wed Dec 20 00:00:00 EST 2017}

}

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DOI: https://doi.org/10.15121/1452729

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