Fluid Inclusion Gas Analysis

Dilley, Lorie

doi:10.15121/1154925

Title: Fluid Inclusion Gas Analysis

Dataset
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Abstract

Fluid inclusion gas analysis for wells in various geothermal areas. Analyses used in developing fluid inclusion stratigraphy for wells and defining fluids across the geothermal fields. Each sample has mass spectrum counts for 180 chemical species.

Authors:: Dilley, Lorie

Publication Date:: 2013-01-01

Other Number(s):: 189

DOE Contract Number:: GO18188

Research Org.:: USDOE Geothermal Data Repository (United States); Hattenburg Dilley and Linnell

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office

Collaborations:: Hattenburg Dilley and Linnell

Subject:: 15 Geothermal Energy

Keywords:: geothermal; fluid inclusion; gas analysis; fluid inclusion stratigraphy; mass spectrometry; coso; fallon; hawthorne; karaha telga bodegas; beowawe; steamboat springs

OSTI Identifier:: 1154925

DOI:: https://doi.org/10.15121/1154925

Citation Formats


                    Dilley, Lorie. Fluid Inclusion Gas Analysis.  United States: N. p., 2013. 
        Web.  doi:10.15121/1154925.

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                    Dilley, Lorie. Fluid Inclusion Gas Analysis.  United States.  doi:https://doi.org/10.15121/1154925

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                    Dilley, Lorie. 2013.  
"Fluid Inclusion Gas Analysis".  United States.  doi:https://doi.org/10.15121/1154925.  https://www.osti.gov/servlets/purl/1154925. Pub date:Tue Jan 01 00:00:00 EST 2013

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@article{osti_1154925,

  title        = {Fluid Inclusion Gas Analysis},

  author       = {Dilley, Lorie},

  abstractNote = {Fluid inclusion gas analysis for wells in various geothermal areas. Analyses used in developing fluid inclusion stratigraphy for wells and defining fluids across the geothermal fields. Each sample has mass spectrum counts for 180 chemical species.},

  doi          = {10.15121/1154925},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {1}

}

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DOI: https://doi.org/10.15121/1154925

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