Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Camp, Erin R.

doi:10.15121/1422756

Title: Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

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Abstract

*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-state analysis of all known potential geothermal reservoirs in sedimentary rocks in the Appalachian Basin region, ranked by their potential favorability. Favorability is quantified using three metrics: Reservoir Productivity Index for water; Reservoir Productivity Index; Reservoir Flow Capacity. The metrics are explained in the Reservoirs Methodology Memo (included in zip file). The product represents a minimum spatial extent of potential sedimentary rock geothermal reservoirs. Only natural porosity and permeability were analyzed. Shapefile and images of the spatial distributions of these reservoir quality metrics and of the uncertainty on these metrics are included as well. UPDATE: Accompanying geologic reservoirs data may be found at: https://gdr.openei.org/submissions/881 (linked below).

Authors:

Camp, Erin R.

Cornell University

Publication Date:: Thu Aug 18 00:00:00 EDT 2016

Other Number(s):: 867

DOE Contract Number:: EE0006726

Research Org.:: DOE Geothermal Data Repository; Cornell University

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Cornell University

Subject:: 15 GEOTHERMAL ENERGY; Appalachian Basin; CSV; GIS; GPFA-AB; Geothermal Play Fairway Analysis; Monte Carlo; NY; New York; PA; PFA; Pennsylvania; RPI RFC; Reservoirs; WV; West Virginia; county boundaries; deep direct use; district heating; explanation; favorability; file description; geospatial data; geothermal; low temperature; low-temperature; metadata; methods; northeastern united states; productivity; reservoir; reservoir flow capacity; reservoir productivity index; sensitivity analysis; shapefile

OSTI Identifier:: 1422756

DOI:: https://doi.org/10.15121/1422756

Citation Formats


                    Camp, Erin R. Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin.  United States: N. p., 2016. 
        Web.  doi:10.15121/1422756.

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                    Camp, Erin R. Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin.  United States.  doi:https://doi.org/10.15121/1422756

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                    Camp, Erin R. 2016.  
"Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin".  United States.  doi:https://doi.org/10.15121/1422756.  https://www.osti.gov/servlets/purl/1422756. Pub date:Thu Aug 18 00:00:00 EDT 2016

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@article{osti_1422756,

  title        = {Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin},

  author       = {Camp, Erin R.},

  abstractNote = {*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-state analysis of all known potential geothermal reservoirs in sedimentary rocks in the Appalachian Basin region, ranked by their potential favorability. Favorability is quantified using three metrics: Reservoir Productivity Index for water; Reservoir Productivity Index; Reservoir Flow Capacity. The metrics are explained in the Reservoirs Methodology Memo (included in zip file). The product represents a minimum spatial extent of potential sedimentary rock geothermal reservoirs. Only natural porosity and permeability were analyzed. Shapefile and images of the spatial distributions of these reservoir quality metrics and of the uncertainty on these metrics are included as well. UPDATE: Accompanying geologic reservoirs data may be found at: https://gdr.openei.org/submissions/881 (linked below).},

  doi          = {10.15121/1422756},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Aug 18 00:00:00 EDT 2016},

  month        = {Thu Aug 18 00:00:00 EDT 2016}

}

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DOI: https://doi.org/10.15121/1422756

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