1887

Abstract

Summary

Large area high-resolution scanning electron microscopy montages are often taken of shales to characterise variability in composition. Although resolution can be superb in such montages, details can be hard to ascertain from the full images, and observations made from single high-resolution tiles are difficult to place within the context of the whole sample. This paper presents a new method that utilizes the individual images collected from such montages, to produce contoured coloured maps to better visualise heterogeneous distributions within shales. The method repurposes previously collected backscattered electron images, through batch image analysis processing, to quickly extract numerical data and produce coloured maps of a range of important parameters. Examples of maps for mean gray value, pyrite, quartz, calcite, porosity and permeability distribution are illustrated and discussed. Such maps allow variability in distribution to be graphically displayed in a fashion that clearly displays any heterogeneity at the millimetre to centimetre scale, as well as numerically defining any variation present.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900312
2019-04-28
2024-04-19
Loading full text...

Full text loading...

References

  1. Buckman, J., Bankole, S., Zihms, S.G., Lewis, H., Couples, G. and Corbett, P.W.M.
    [2017] Quantifying porosity through automated image collection and batch image processing: Case study of three carbonates and an aragonite cemented sandstone. Geosciences, 7, 70. https://doi.org/10.3390/geosciences7030070.
    [Google Scholar]
  2. Buckman, J.O., Mahoney, C., Bankole, S., Couples, G., Lewis, H., Wagner, T., Marz, C., Blanco, V. and Stow, D.
    [2018] Workflow model for the digitization of mudrocks. In: Dowey, P., Osborne, M. and Volk, H. (Eds.) Application of Analytical Techniques to Petroleum Systems.Geological Society, London, Special Publications, 484. https://doi.org/10.1144/SP484.2.
    [Google Scholar]
  3. Buckman, J., Charalampidou, E., Zihms, S., Lewis, H., Corbett, P., Couples, G., Jiang, Z. and Huang, T.
    [in press] High-resolution large area scanning electron microscopy: an imaging tool for porosity and diagenesis of carbonate rock systems. Journal of Sedimentary Petrology, Special issue.
    [Google Scholar]
  4. Jiang, Z., Wu, K., Couples, G., van Dijke, M., Sorbie, K.S. and Ma, J.
    [2007] Efficient extraction of pore networks from three-dimensional porous media. Water Resources Research, 43, 2578–2584.
    [Google Scholar]
  5. Jiang, Z., van Dijke, M.I.J., Wu, K., Couples, G.D., Sorbie, K.S. and Ma, J.
    [2012] Stochastic pore network generation from 3D rock images. Transport in Porous Media, 94, 571–593.
    [Google Scholar]
  6. Huang, T., Jiang, Z., van Dijke, R., Geiger, S. and Petrovskyy, D.
    [2018] Reconstruction of complex 3D pore structure in carbonates from 2D images using global optimization. Interpore 2018, New Orleans, USA.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900312
Loading
/content/papers/10.3997/2214-4609.201900312
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error