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Related Experiment Videos

In situ fluid typing and quantification with 1D and 2D NMR logging.

Boqin Sun1

  • 1Chevron/Energy Technology Company/Earth Science, San Ramon, CA 94583, USA. bsun@chevron.com

Magnetic Resonance Imaging
|May 1, 2007
PubMed
Summary
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Nuclear magnetic resonance (NMR) fluid typing uses T(2) distributions and 2D NMR logging for accurate in situ fluid identification. Advanced inversion techniques and combined log analysis improve oil and water separation, enhancing reservoir characterization.

Area of Science:

  • Geophysics
  • Petroleum Engineering
  • Analytical Chemistry

Background:

  • In situ fluid typing is crucial for reservoir characterization.
  • Nuclear Magnetic Resonance (NMR) logging provides insights into fluid properties and pore structures.
  • Challenges exist in distinguishing fluids with overlapping T(2) relaxation times.

Purpose of the Study:

  • To review and describe advanced in situ fluid typing techniques using NMR logging.
  • To highlight methods for overcoming limitations in traditional T(2) distribution analysis.
  • To demonstrate the effectiveness of these techniques with field examples.

Main Methods:

  • Utilizing T(2) distributions with predetermined shapes for fluid component decomposition.
  • Employing two-dimensional (2D) NMR logging, analyzing T(2) relaxation and diffusion coefficients.

Related Experiment Videos

  • Integrating NMR logging data with resistivity and/or neutron/density logs.
  • Main Results:

    • Predetermined T(2) distributions enable fluid component decomposition and volume ratio determination.
    • 2D NMR effectively separates oil (especially heavy oil) from water signals due to distinct diffusion coefficients.
    • Combined log analysis offers a complementary approach for robust fluid typing.

    Conclusions:

    • Enhanced NMR logging techniques, including 2D NMR and advanced inversion, significantly improve in situ fluid typing accuracy.
    • These methods overcome the limitations of overlapping T(2) peaks, providing reliable fluid volume ratios.
    • The integration of multiple logging techniques enhances the understanding of reservoir fluid composition.