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Digital outcrop model

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Digital outcrop model

A Digital Outcrop Model (DOM), also called a virtual outcrop model, is a digital 3D representation of the outcrop surface, mostly in a form of textured polygon mesh.

Contents

DOMs allow for interpretation and reproducible measurement of different geological features, e.g. orientation of geological surfaces, width and thickness of layers. The quantity of identifiable and measurable geological features highly depends on the outcrop model resolution and accuracy.

Using remote sensing techniques enables these 3D models to cover areas with difficult accessibility, e.g. several meter high cliff walls. The fact that geological interpretation can be performed on the screen, also in inaccessible areas where using conventional fieldwork methods may be unsafe, and the large quantity of data that can be collected in relatively short time are the key advantages of using DOMs. Georeferencing digital outcrop models allows for integration with other spatial data, e.g. results of digital geologic mapping or GIS.

Alternatively to the photorealistic textured models 3D digital outcrop models may be represented by a point cloud coloured with the spectral (RGB) data from the corresponding images. Such surface model representation accurately describes the topography of the outcrop but due to its discrete nature is often difficult to interpret (see Figure 1.). Texturing digital polygonal outcrop models with images enhances the models with high resolution continuous data and therefore facilitates geological interpretation.

Creation techniques

Creation of textured DOMs can be divided into three main steps:

  • creation of the outcrop surface model,
  • pre-processing and registration of images covering the outcrop,
  • texture mapping.
  • In order to achieve the required model resolution and accuracy data are mostly collected from the ground (terrestrial) or from a helicopter platform (mobile mapping). Airborne and satellite data may also be integrated but mostly as complementary datasets for the outcrop areas where close-range data are missing.

    Digital outcrop surface model

    Creation of the digital outcrop surface model consists of the following steps:

    1. Data acquisition
    2. Merging point clouds and georeferencing3. Point cloud cleaning and decimation4. 3D triangulation and triangle mesh optimization

    Digital images

    1. Image registration
    2. Image pre-selection and colour balancing

    Texture mapping

    Different texture mapping algorithms exist, e.g.: single image texturing, texture colour blending or view-dependant texturing. The single image texturing approach is often used, due to its simplicity and efficiency.

    Visualization

    Visualization of large textured 3D models is still somewhat problematic and highly dependent on the hardware. The 3D nature of DOMs (multiple values for each X,Y position) results in a form of data that is not suitable for inputting to most geographical information systems. However several off-the-shelf visualization software packages exist that also allow for geological interpretation and measurements:

  • RiSCAN PRO by Riegl Product website
  • Sirovision by CAE Mining Product website
  • ShapeMetrix3D by 3G Software & Measurement Product website; also allows for surface model extraction from multiple images
  • 3DM Analyst by Adamtech Product website; also allows for surface model extraction from multiple images
  • Virtual Reality Geological Studio by the University of Manchester Product website
  • SketchUp by Google Product website; Not designed for handling large models with many texture materials
  • Digital outcrop models vs. photo panels

    A photo panel is a mosaic of several images, commonly used in geology for outcrop documentation and reference to geometric object properties. Scale of such photo panels is approximately established to assess size of different geological features. However, these measures normally contain errors associated with the distortion produced during the transformation of 3D outcrops into 2D image plane and with the imprecision of the manual image stitching process.

    Due to their 3D nature digital outcrop models provide correct and accurate measures of the features listed in the next section.

    Data extractable from Digital Outcrop Models

  • 3D lines representing e.g.:
  • clinoform contacts
  • channel bodies and sedimentary structures
  • facies contacts
  • fractures
  • fault
  • delineation of fill-in features
  • stratigraphic horizons
  • local sedimentary features, e.g. tidal bundles
  • strike and dip angles
  • thickness and width of sedimentary units
  • the material composition
  • observation of various factors change over distance
  • Complementary data

    Analysis of the digital outcrop models may be enhanced with wide variety of georeferenced digital data, e.g.:

  • aerial photos
  • satellite imagery
  • digital terrain models
  • topographic maps
  • geological maps and sections
  • seismic images
  • gravity data
  • magnetic data
  • data acquired with a ground penetrating radar.
  • hyperspectral imagery
  • well core data
  • well logs
  • data resulting from digital geologic mapping
  • Using not georeferenced data with DOMs is possible but requires more work to position the auxiliary data relative to the DOM.

    Applications

  • Use of DOMs for outcrop analogue characterisation (i.e. geological formations similar to subsurface formations containing resources like hydrocarbons) in areas with limited accessibility or the cost of obtaining data is too high
  • Geologic modelling
  • increased fine-scale understanding of the geological processes
  • enhancement of the reservoir model with high resolution measurements
  • enhance the understanding of subsurface rock formations
  • input data for geological modelling derived directly from DOMs
  • Enhanced oil recovery
  • Teaching purposes: DOMs available prior to a field trip allow students to familiarize themselves with a location and enable the possibility to verify some of the discussion theses afterwards.
  • References

    Digital outcrop model Wikipedia


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