Overview
The Structural Domain Maps Module, part of the Data Augmentation suite, creates a continuous raster that shows how structural orientations change across the Area of Interest (AOI). It converts point structural measurements, such as orientations of faults, veins, bedding, or other planar/linear features, into a predicted fabric field based directly on measured azimuths.
The output highlights where orientations are similar and where they differ. Areas with similar orientations form consistent fabrics, while areas with greater variation mark changes in structural patterns. These changes can outline structural domains and indicate where different fabrics interact or where geological complexity increases.
The module extends measured orientations outward using inverse distance weighting rather than synthetic modelling. This keeps the output closely tied to real measurements, even where data spacing is uneven.
Topic | Summary |
Module Name | Structural Domain Maps |
Purpose | Converts point structural measurements into a continuous raster showing how structural orientations vary |
Input Format | Point shapefile with XYZ location and structural strike |
Recommended Data | Faults, veins, bedding, foliation, or any point dataset that includes azimuth |
Output Format | One raster for each selected structural type |
Key Parameters | Grid resolution, structural type selection, right-hand rule adjustment |
Processing Summary | Interpolates azimuths using inverse distance weighting to create a fabric field showing orientation consistency and variation |
Typical Use Cases | Highlighting structural complexity, identifying domain boundaries, comparing fabrics to mapped faults or mineralization trends |
Validation or QC | No formal QC metric; results depend on measurement density, spacing, and consistency |
Common Pairings | VRIFY Prospectivity Score (VPS), mapped faults, form-line interpretations |
Notable Output Notes |
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How It’s Used in Exploration
Structural Domain Maps help geologists see where structural fabrics change across a project area. By showing how orientations vary spatially, the output supports interpretation of domain boundaries, structural breaks, and changes in geological style.
Within DORA, this module provides a structural context layer that can be used alongside modelling outputs. Users can compare predicted mineralization with areas of high or low structural variability.
Outside DORA, the module supports general structural interpretation. It is especially useful when structural measurements are unevenly distributed. The method can also be applied to other azimuth-based point datasets, such as form-line interpretations or EM plate picks, to examine fabric changes in different geological or geophysical datasets.
Value and Benefits
The Structural Domain Module provides a practical way to turn scattered structural measurements into a continuous surface. The output clearly shows where orientations are consistent and where they change.
This helps identify structural patterns that may be difficult to recognize from point data alone, especially in large areas or regions with limited exposure.
By using a consistent interpolation method, the module reduces the subjectivity of manual structural domain mapping. Within DORA workflows, it helps place model results in a structural context and supports exploration decisions by highlighting areas where changes in orientation may influence mineralization.
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Still Have Questions?
Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.