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Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory

DOI 10.15121/1597113
Publicly accessible License 

The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The primary impetus of this work is a collaboration between West Virginia Geological and Economic Survey (WVGES) and NETL to characterize core from multiple wells to better understand the geologic framework of key stratigraphic units in West Virginia. As part of this effort, bulk scans of core were obtained from the Pres-119 well, provided by the WVGES. This report, and the associated scans generated, provide detailed datasets not typically available for researchers to analyze.

This dataset contains CT scan images collected from the cores obtained from Clay 513, Harrison 79, and Preston 119 wells. Additional processing of the CT scan data from Preston 119 well is performed to semi-quantitatively assess fracture volume. These results are summarized in figures, and spreadsheets.
Software Requirement Note:
Free software may be required to view some of the information provided. Software used for data analysis include ilastik, FIJI and ImageJ2.

Citation Formats

TY - DATA AB - The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The primary impetus of this work is a collaboration between West Virginia Geological and Economic Survey (WVGES) and NETL to characterize core from multiple wells to better understand the geologic framework of key stratigraphic units in West Virginia. As part of this effort, bulk scans of core were obtained from the Pres-119 well, provided by the WVGES. This report, and the associated scans generated, provide detailed datasets not typically available for researchers to analyze. This dataset contains CT scan images collected from the cores obtained from Clay 513, Harrison 79, and Preston 119 wells. Additional processing of the CT scan data from Preston 119 well is performed to semi-quantitatively assess fracture volume. These results are summarized in figures, and spreadsheets. Software Requirement Note: Free software may be required to view some of the information provided. Software used for data analysis include ilastik, FIJI and ImageJ2. AU - Brown, Sarah A2 - Moore, Jessica A3 - Moore, Johnathan A4 - Crandall, Dustin A5 - Workman, Scott A6 - Dinterman, Philip DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1597113 KW - geothermal KW - energy KW - Appalachian Basin KW - WVU KW - WVGES KW - Tuscarora Sandstone KW - Computed Tomography KW - Image J KW - CT KW - CT scanner KW - characterization KW - core samples KW - lithology KW - density values KW - DDU KW - deep direct use KW - feasibility KW - core KW - Pres-119 KW - Preston 119 KW - Clay 513 KW - Harrison 79 KW - fracture volume LA - English DA - 2020/01/10 PY - 2020 PB - West Virginia University T1 - Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory UR - https://doi.org/10.15121/1597113 ER -
Export Citation to RIS
Brown, Sarah, et al. Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory. West Virginia University, 10 January, 2020, GDR. https://doi.org/10.15121/1597113.
Brown, S., Moore, J., Moore, J., Crandall, D., Workman, S., & Dinterman, P. (2020). Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory. [Data set]. GDR. West Virginia University. https://doi.org/10.15121/1597113
Brown, Sarah, Jessica Moore, Johnathan Moore, Dustin Crandall, Scott Workman, and Philip Dinterman. Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory. West Virginia University, January, 10, 2020. Distributed by GDR. https://doi.org/10.15121/1597113
@misc{OEDI_Dataset_7334, title = {Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory}, author = {Brown, Sarah and Moore, Jessica and Moore, Johnathan and Crandall, Dustin and Workman, Scott and Dinterman, Philip}, abstractNote = {The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The primary impetus of this work is a collaboration between West Virginia Geological and Economic Survey (WVGES) and NETL to characterize core from multiple wells to better understand the geologic framework of key stratigraphic units in West Virginia. As part of this effort, bulk scans of core were obtained from the Pres-119 well, provided by the WVGES. This report, and the associated scans generated, provide detailed datasets not typically available for researchers to analyze.

This dataset contains CT scan images collected from the cores obtained from Clay 513, Harrison 79, and Preston 119 wells. Additional processing of the CT scan data from Preston 119 well is performed to semi-quantitatively assess fracture volume. These results are summarized in figures, and spreadsheets.
Software Requirement Note:
Free software may be required to view some of the information provided. Software used for data analysis include ilastik, FIJI and ImageJ2.
}, url = {https://gdr.openei.org/submissions/1200}, year = {2020}, howpublished = {GDR, West Virginia University, https://doi.org/10.15121/1597113}, note = {Accessed: 2025-05-29}, doi = {10.15121/1597113} }
https://dx.doi.org/10.15121/1597113

Details

Data from Jan 10, 2020

Last updated Feb 7, 2020

Submitted Jan 12, 2020

Organization

West Virginia University

Contact

Nagasree Garapati

304.293.5028

Authors

Sarah Brown

West Virginia Geological Economic Survey

Jessica Moore

West Virginia Geological Economic Survey

Johnathan Moore

U.S. Department of Energy

Dustin Crandall

U.S. Department of Energy

Scott Workman

U.S. Department of Energy

Philip Dinterman

West Virginia Geological Economic Survey

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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