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Related Experiment Videos

Two-dimensional nuclear magnetic resonance petrophysics.

Boqin Sun1, Keh-Jim Dunn

  • 1Subsurface Characterization/Energy Technology Company/ChevronTexaco San Ramon, CA 94583, USA.

Magnetic Resonance Imaging
|April 19, 2005
PubMed
Summary

Two-dimensional nuclear magnetic resonance (2D NMR) effectively separates oil and water in porous rocks using T2 relaxation and diffusion coefficients. This technique enhances petroleum logging by analyzing fluid properties in complex rock formations.

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Area of Science:

  • Petrophysics
  • Geophysics
  • Analytical Chemistry

Background:

  • Nuclear Magnetic Resonance (NMR) is crucial for characterizing porous media.
  • Distinguishing between multiple fluid types (e.g., oil and water) in rocks is essential for petroleum exploration.
  • Traditional NMR methods can struggle to differentiate fluids with similar properties.

Purpose of the Study:

  • To explore the application of two-dimensional nuclear magnetic resonance (2D NMR) in petrophysics.
  • To demonstrate the impact of 2D NMR on petroleum logging technology.
  • To delineate and extract information from multiple fluids with different diffusion coefficients in porous media.

Main Methods:

  • Utilizing Carr-Purcell-Meiboom-Gill (CPMG) measurements.
  • Employing regular pulsing sequences and modified two-window sequences.

Related Experiment Videos

  • Analyzing data using a 2D NMR plot with T2 relaxation time and diffusion coefficient as independent variables.

    • Main Results:

    • Clear separation of oil and water signals in rocks was achieved.
    • The 2D NMR approach successfully delineated fluids based on their diffusion coefficients.
    • The method proved effective for systems with multiple fluids having distinct diffusion properties.

    Conclusions:

    • 2D NMR is a powerful tool for petrophysical analysis and petroleum logging.
    • The combination of T2 relaxation time and diffusion coefficient in 2D NMR enables precise fluid identification.
    • This 2D NMR concept is extendable to other fluid-saturated porous media studies with different variable combinations.