U.S. Department of EnergyOffice of Scientific and Technical Information
Basin-Scale Structural Features Database
Abstract
The Basin-Scale Structural Features database provides spatial datasets of faults, fractures, folds, and earthquakes compiled from public, authoritative sources (e.g., U.S. Geological Survey and State Geological Surveys) and aggregated into derivative forms to support subsurface assessments. Recognizing that characterizing basin-scale structural features requires interpreting data that are often ambiguous or lack key information, the source data were evaluated using a knowledge-data framework and geospatial fuzzy logic method (Justman et al., 2020) to represent both measured (observed) and predicted (inferred or potential) structural features as derivative datasets. This workflow employs conceptual models for known structural features and predicted structural features, incorporating geospatial data to estimate potential, even with limited data. The aim is to aid and support an understanding of basin-scale features and identify potential gaps in data and knowledge. As of 4/30/2025, the database includes resources for nine sedimentary basins: Appalachian, Denver, U.S. Gulf Coast, Illinois, Michigan, Permian, Sacramento, San Joquin and Williston. The database is organized by basin and then data category: 1) Faults, fractures, folds, 2) Earthquakes, 3) Topographic, 4) Structural contours and isopachs, 5) Geophysical, and 6) Structural feature density assessment maps.
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Other Number(s):
- 2549f651-8eda-4437-b9ec-ab0c5bbadc0a
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- basin scale; earthquakes; faults; folds; fractures; structural complexity; structural features
- OSTI Identifier:
- 2425893
- DOI:
- https://doi.org/10.18141/2425893
Citation Formats
Pantaleone, Scott, Justman, Devin, Oliver, Jay Anonio, Hoover, Karla, Leveckis, Stephen, Rose, Kelly, and Creason, Gabriel. Basin-Scale Structural Features Database. United States: N. p., 2025.
Web. doi:10.18141/2425893.
Pantaleone, Scott, Justman, Devin, Oliver, Jay Anonio, Hoover, Karla, Leveckis, Stephen, Rose, Kelly, & Creason, Gabriel. Basin-Scale Structural Features Database. United States. doi:https://doi.org/10.18141/2425893
Pantaleone, Scott, Justman, Devin, Oliver, Jay Anonio, Hoover, Karla, Leveckis, Stephen, Rose, Kelly, and Creason, Gabriel. 2025.
"Basin-Scale Structural Features Database". United States. doi:https://doi.org/10.18141/2425893. https://www.osti.gov/servlets/purl/2425893. Pub date:Wed Apr 30 04:00:00 UTC 2025
@article{osti_2425893,
title = {Basin-Scale Structural Features Database},
author = {Pantaleone, Scott and Justman, Devin and Oliver, Jay Anonio and Hoover, Karla and Leveckis, Stephen and Rose, Kelly and Creason, Gabriel},
abstractNote = {The Basin-Scale Structural Features database provides spatial datasets of faults, fractures, folds, and earthquakes compiled from public, authoritative sources (e.g., U.S. Geological Survey and State Geological Surveys) and aggregated into derivative forms to support subsurface assessments. Recognizing that characterizing basin-scale structural features requires interpreting data that are often ambiguous or lack key information, the source data were evaluated using a knowledge-data framework and geospatial fuzzy logic method (Justman et al., 2020) to represent both measured (observed) and predicted (inferred or potential) structural features as derivative datasets. This workflow employs conceptual models for known structural features and predicted structural features, incorporating geospatial data to estimate potential, even with limited data. The aim is to aid and support an understanding of basin-scale features and identify potential gaps in data and knowledge. As of 4/30/2025, the database includes resources for nine sedimentary basins: Appalachian, Denver, U.S. Gulf Coast, Illinois, Michigan, Permian, Sacramento, San Joquin and Williston. The database is organized by basin and then data category: 1) Faults, fractures, folds, 2) Earthquakes, 3) Topographic, 4) Structural contours and isopachs, 5) Geophysical, and 6) Structural feature density assessment maps.},
doi = {10.18141/2425893},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 30 04:00:00 UTC 2025},
month = {Wed Apr 30 04:00:00 UTC 2025}
}