Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision

Jordan, Teresa E.

doi:10.15121/1495428

Title: Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision

Dataset
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Abstract

Tier 3 data for Appalachian Basin sectors of New York, Pennsylvania and West Virginia used in a Geothermal Play Fairway Analysis of opportunities for low-temperature direct-use applications of heat. It accompanies data and materials submitted as Geothermal Data Repository Submission "Natural Reservoir Analysis 2016 GPFA-AB" (linked below). Reservoir information are derived from oil and gas exploration and production data sets, or derived from those data based on further analysis. Data reported here encompass locations (horizontal and depth), geologic formation names, lithology, reservoir volume, porosity and permeability, and derived approximations of the quality of the reservoir. These differ from the linked 2015 data submission in that this file presents data for New York that are comparable to those in the other two states. In contrast, the 2015 data available measured differing attributes across the state boundaries.

Authors:

Jordan, Teresa E.

Cornell University

Publication Date:: Tue Dec 06 23:00:00 EST 2016

Other Number(s):: 881

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; GPFA-AB; Geothermal Play Fairway Analysis; New York; Pennsylvania; RFC; RPI; West Virginia; assessment; characterization; content model; deep direct use; district heating; favorability; formation; geologic; geothermal; lithology; location; low temp; low temperature; low-temperature; natural; permeability; porosity; productivity; quality; reservoir; reservoir flow capacity; reservoir productivity index; resource; sedimentary; utilization; volume

OSTI Identifier:: 1495428

DOI:: https://doi.org/10.15121/1495428

Citation Formats


                    Jordan, Teresa E. Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision.  United States: N. p., 2016. 
        Web.  doi:10.15121/1495428.

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                    Jordan, Teresa E. Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision.  United States.  doi:https://doi.org/10.15121/1495428

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                    Jordan, Teresa E. 2016.  
"Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision".  United States.  doi:https://doi.org/10.15121/1495428.  https://www.osti.gov/servlets/purl/1495428. Pub date:Tue Dec 06 23:00:00 EST 2016

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@article{osti_1495428,

  title        = {Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision},

  author       = {Jordan, Teresa E.},

  abstractNote = {Tier 3 data for Appalachian Basin sectors of New York, Pennsylvania and West Virginia used in a Geothermal Play Fairway Analysis of opportunities for low-temperature direct-use applications of heat. It accompanies data and materials submitted as Geothermal Data Repository Submission "Natural Reservoir Analysis 2016 GPFA-AB" (linked below). Reservoir information are derived from oil and gas exploration and production data sets, or derived from those data based on further analysis. Data reported here encompass locations (horizontal and depth), geologic formation names, lithology, reservoir volume, porosity and permeability, and derived approximations of the quality of the reservoir. These differ from the linked 2015 data submission in that this file presents data for New York that are comparable to those in the other two states. In contrast, the 2015 data available measured differing attributes across the state boundaries.},

  doi          = {10.15121/1495428},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Dec 06 23:00:00 EST 2016},

  month        = {Tue Dec 06 23:00:00 EST 2016}

}

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DOI: https://doi.org/10.15121/1495428

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