Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV

doi:10.15121/1593280

Title: Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV

Abstract

This dataset contains grid files for subsurface maps created in GES interpretation software and exported as Zmap formated grid files. Depth values in SSTVD (subsea true vertical depth). The methods used for analysis and a detailed discussion of the results are presented in a paper by McCleery et al., (2018).

Creator(s)/Author(s):: McCleery, R. Scott; McDowell, Ronald R.; Moore, Jessica P.; Garapati, Nagasree; Carr, Timothy R.; Anderson, Brain J.

Publication Date:: 2019-12-19

Other Number(s):: 1190

DOE Contract Number:: EE0008105

Product Type:: Dataset

Research Org.:: DOE Geothermal Data Repository; West Virginia University

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

Subject:: 15 Geothermal Energy

Keywords:: geothermal; Appalachian Basin; WVU; Tuscarora Sandstone; 3-D structural surface; Conformable gridding; DDU; Deep Direct-Use; Core Analysis; Permeability Measurements; Computed Tomography; 3-D Geological Model; geophysics; 3D; 3-D; feasibility; EGS

OSTI Identifier:: 1593280

DOI:: 10.15121/1593280

Citation Formats


                    McCleery, R. Scott, McDowell, Ronald R., Moore, Jessica P., Garapati, Nagasree, Carr, Timothy R., and Anderson, Brain J. Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV.  United States: N. p., 2019. 
        Web.  doi:10.15121/1593280.

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                    McCleery, R. Scott, McDowell, Ronald R., Moore, Jessica P., Garapati, Nagasree, Carr, Timothy R., & Anderson, Brain J. Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV.  United States.  doi:10.15121/1593280.

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                    McCleery, R. Scott, McDowell, Ronald R., Moore, Jessica P., Garapati, Nagasree, Carr, Timothy R., and Anderson, Brain J. 2019.  
"Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV".  United States.  doi:10.15121/1593280.  https://www.osti.gov/servlets/purl/1593280. Pub date:Thu Dec 19 00:00:00 EST 2019

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@article{osti_1593280,

  title        = {Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV},

  author       = {McCleery, R. Scott and McDowell, Ronald R. and Moore, Jessica P. and Garapati, Nagasree and Carr, Timothy R. and Anderson, Brain J.},

  abstractNote = {This dataset contains grid files for subsurface maps created in GES interpretation software and exported as Zmap formated grid files. Depth values in SSTVD (subsea true vertical depth). The methods used for analysis and a detailed discussion of the results are presented in a paper by McCleery et al., (2018).},

  doi          = {10.15121/1593280},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {12}

}

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DOI: 10.15121/1593280

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Geothermal Data Repository (GDR)

Anderson, Arlene ; Weers, Jon

The Geothermal Data Repository (GDR) is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office (DOE GTO). The DOE GTO is providing access to its geothermal project information through the GDR. The GDR is powered by OpenEI, an energy information portal sponsored by the U.S. Department of Energy and developed by the National Renewable Energy Laboratory (NREL).

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Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV

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This dataset contains figures that summarize the Tuscarora Sandstone core permeability data collected from the Preston 119 well in Preston County, WV, and summary results of a stochastic analysis that was used to estimate reservoir productivity for the currently unexplored Tuscarora Sandstone below Morgantown, West Virginia. Uncertainties in reservoir productivity considered the thickness of the reservoir, rock permeability, and fluid viscosity. A Monte Carlo analysis of these uncertain properties was used to predict reservoir flow productivity for the case of a matrix-dominated reservoir, and a fracture-dominated reservoir. These results are summarized in figures, spreadsheets, and maps.
Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus

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The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia Geologic and Economic Survey, are analyzed by performing core analysis using CT scanning and permeability measurements via minipermeameter. Additional geological data are collected through cores, published literature, seismic data, and nearby, existing wells to estimate thickness, fracture network configuration and geothermal gradient to minimize the uncertainty of well deliverability. Using these estimated reservoir properties; a 3D conceptual model for themore »« less
Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV

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Deep Direct-Use Feasibility Study Tuscarora Sandstone Geophysical Log Digitization

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This dataset contains black-and-white photographic images of individual core segments from well Preston 119 and photomicrographs taken of petrographic thin sections from well Clay 513. Minipermeameter measurement results of 2,260 samples for fracture and matrix permeability on core segments for well Preston 119. These results are summarized in figures, spreadsheets, and PowerPoints. Microsoft Excel will be necessary to examine the permeability data and software capable of reading a .PDF file will be needed to view the file of annotated core CT scans. Microsoft Powerpoint will be necessary to view the photomicrograph presentation.

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Research Org:	National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:	USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G)