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Method for measuring local hydraulic permeability using magnetic resonance imaging.

M Bencsik1, C Ramanathan

  • 1Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, England. bencsik@magres.nottingham.ac.uk

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 21, 2001
PubMed
Summary

This study presents a noninvasive method using gas phase magnetic resonance imaging to measure hydraulic permeability in porous rocks. The technique offers a new way to understand fluid flow in geological materials.

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Area of Science:

  • Geophysics
  • Materials Science
  • Fluid Dynamics

Background:

  • Hydraulic permeability is a key property of porous media, crucial for understanding fluid flow.
  • The classical Darcy law defines permeability but direct measurement can be invasive.
  • Non-destructive techniques are needed for accurate characterization of porous materials.

Purpose of the Study:

  • To present a novel noninvasive method for measuring the local permeability tensor of porous media.
  • To demonstrate the application of gas phase magnetic resonance imaging for permeability assessment.
  • To explore the capabilities and limitations of this new measurement technique.

Main Methods:

  • Utilized gas phase magnetic resonance imaging (MRI) for non-destructive measurement.

Related Experiment Videos

  • Focused on determining one projection of the local permeability tensor.
  • Conducted one-dimensional experiments on dry porous rock samples.

    • Main Results:

    • Successfully demonstrated the noninvasive measurement of a permeability tensor projection.
    • Obtained results for one-dimensional experiments on dry porous rocks.
    • Identified limitations of the current method for permeability assessment.

    Conclusions:

    • The presented gas phase MRI method offers a noninvasive approach to measure hydraulic permeability.
    • Further development is needed to extend the technique to three-dimensional permeability imaging.
    • This method has potential applications in geosciences and materials characterization.