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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.

Citation Formats

TY - DATA AB - 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. AU - Smith, Jared DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1593281 KW - geothermal KW - WVU KW - Cornell University KW - Appalachian Basin KW - Tuscarora Sandstone KW - reservoir flow geometry KW - reservoir productivity assessment KW - permeability KW - matrix KW - fracture KW - uncertainty analysis KW - reservoir productivity index KW - reservoir flow capacity KW - RPI KW - RFC KW - monte Carlo analysis KW - code KW - DDU KW - Deep Direct-Use KW - feasibility KW - favorability KW - eastern KW - east KW - uncertainty KW - EGS KW - shapefiles KW - geospatial data LA - English DA - 2019/12/19 PY - 2019 PB - West Virginia University T1 - Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV UR - https://doi.org/10.15121/1593281 ER -
Export Citation to RIS
Smith, Jared. Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV. West Virginia University, 19 December, 2019, GDR. https://doi.org/10.15121/1593281.
Smith, J. (2019). Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV. [Data set]. GDR. West Virginia University. https://doi.org/10.15121/1593281
Smith, Jared. Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV. West Virginia University, December, 19, 2019. Distributed by GDR. https://doi.org/10.15121/1593281
@misc{OEDI_Dataset_7325, title = {Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV}, author = {Smith, Jared}, abstractNote = {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. }, url = {https://gdr.openei.org/submissions/1191}, year = {2019}, howpublished = {GDR, West Virginia University, https://doi.org/10.15121/1593281}, note = {Accessed: 2025-05-06}, doi = {10.15121/1593281} }
https://dx.doi.org/10.15121/1593281

Details

Data from Dec 19, 2019

Last updated Sep 2, 2021

Submitted Dec 19, 2019

Organization

West Virginia University

Contact

Nagasree Garapati

304.293.5028

Authors

Jared Smith

Cornell University

Research Areas

DOE Project Details

Project Name Feasibility of Deep Direct Use Geothermal on the West Virginia University Campus-Morgantown, WV

Project Lead Arlene Anderson

Project Number EE0008105

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