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Related Experiment Videos

Modeling fracture porosity development using simple growth laws.

John P Bloomfield1, John A Barker, Nicola Robinson

  • 1Groundwater Systems and Water Quality Programme, British Geological Survey, Wallingford OX10 8BB, UK. jpb@bgs.ac.uk

Ground Water
|May 11, 2005
PubMed
Summary

This study models fracture aperture growth in aquifers, revealing how flow rate and initial distribution affect porosity. Complex channel networks emerge, impacting fluid flow predictability.

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Area of Science:

  • Hydrogeology
  • Geophysics
  • Computational modeling

Background:

  • Fracture networks are crucial for fluid flow in aquifers.
  • Understanding fracture aperture evolution is key to predicting aquifer behavior.
  • Existing models often simplify the complex geometries of evolved fracture arrays.

Purpose of the Study:

  • To develop a model investigating fracture aperture growth laws and their relation to fracture porosity.
  • To explore how initial aperture distribution and growth rate influence fracture array geometry.
  • To analyze the development of channel-like structures and their impact on flow paths.

Main Methods:

  • Simulated two-dimensional orthogonal fracture arrays with lognormal aperture distributions.
  • Modeled aperture growth rate proportional to flow rate, controlled by an exponent (e).

Related Experiment Videos

  • Analyzed geometrical phase changes based on growth exponent (e) and initial aperture standard deviation (sigma(z)).
  • Main Results:

    • Low e and sigma(z) result in bimodal distributions with preferential enlargement of flow-parallel apertures.
    • Moderate values lead to complex networks of channel-like structures.
    • High e values create array-spanning channels with tortuosity linearly dependent on sigma(z).

    Conclusions:

    • Fracture array geometry evolves significantly with varying growth exponents and initial aperture distributions.
    • The development of complex, channelized flow paths complicates prediction of aquifer evolution.
    • Predicting fracture array evolution requires detailed consideration of initial conditions and growth dynamics.