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Basin-Scale Structural Features Database

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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.

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Data and Resources

    Gathering Resources...

Keywords

Spatial Extent

"OpenStreetMap contributors"

OSTI Info

Field Value
Sponsor Organization USDOE Office of Fossil Energy (FE)
Contact Organization National Energy Technology Laboratory
DOE Contract Number FE1025007
DOI Number 10.18141/2425893

Additional Info

Field Value
Maintainer Gabriel Creason
Last Updated May 5, 2025, 08:46 (LMT)
Created August 1, 2024, 21:21 (LMT)
AI/ML Product yes
AI/ML Submission Types Generated Resource
Citation Scott Pantaleone, Devin Justman, Jay Antonio Oliver, Karla Hoover, Stephen Leveckis, Kelly Rose, Gabriel Creason, Basin-Scale Structural Features Database, 4/30/2025, https://edx.netl.doe.gov/dataset/basin-scale-structural-features-database, DOI: 10.18141/2425893
Fgdc Compliancy yes
Geospatial yes
Netl Product yes
Organization National Energy Technology Laboratory
Osti yes
Poc Email luciane.cunha@netl.doe.gov
Point Of Contact Luciane Cunha
Program Or Project EDX4CCS
Project Number FE1025007
Publication Date 2025-04-30
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