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Related Experiment Videos

Cross-property correlations and permeability estimation in sandstone.

Christoph H Arns1, Mark A Knackstedt, Nicos S Martys

  • 1Department of Applied Mathematics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, Australia.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 31, 2005
PubMed
Summary

This study computationally links fluid permeability to conductive properties in sedimentary rocks. Permeability estimation using critical channel diameter (c) from mercury porosimetry proved most reliable among tested pore size parameters.

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Area of Science:

  • Geosciences
  • Computational Rock Physics
  • Pore Network Modeling

Background:

  • Understanding fluid flow in sedimentary rocks is crucial for resource exploration and management.
  • Cross-property correlations can simplify the estimation of rock properties.

Purpose of the Study:

  • To computationally investigate correlations between fluid permeability and conductive properties in sedimentary rocks.
  • To evaluate various pore size parameters for their reliability in predicting permeability.

Main Methods:

  • Utilized three-dimensional digitized rock images for computational analysis.
  • Focused on pore volume-to-surface-area ratio (V(p)/S), critical channel diameter (c), nuclear magnetic resonance (NMR) relaxation time T2, and mean survival time (tau).

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Main Results:

  • All investigated correlations showed good agreement with simulation results.
  • Permeability estimates derived from the critical channel diameter (c) were found to be the most reliable.

Conclusions:

  • The critical channel diameter (c) is a robust parameter for estimating fluid permeability in sedimentary rocks.
  • Computational investigation provides valuable insights into pore-scale transport phenomena.