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A global inversion method for multi-dimensional NMR logging.

Boqin Sun1, Keh-Jim Dunn

  • 1ChevronTexaco Energy Technology Company, 6001 Bollinger Canyon Rd, San Ramon, CA 94583, USA. bsun@chevrontexaco.com

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|December 14, 2004
PubMed
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This study introduces a multi-dimensional NMR logging method for identifying and quantifying oil and water in petroleum reservoirs. The technique uses diffusion and relaxation times to determine fluid properties and saturations.

Area of Science:

  • Petroleum Geoscience
  • Nuclear Magnetic Resonance (NMR) Logging
  • Reservoir Characterization

Background:

  • Accurate pore fluid typing and quantification are crucial for effective petroleum exploration and reservoir management.
  • Traditional NMR logging methods may have limitations in distinguishing complex fluid mixtures and determining fluid properties.
  • Multi-dimensional NMR offers enhanced capabilities for analyzing fluid characteristics within porous media.

Purpose of the Study:

  • To present a general global inversion methodology for multi-dimensional NMR logging.
  • To demonstrate the application of 2D (Diffusion-T2 relaxation) and 3D (Diffusion-T2-T1 relaxation) NMR for pore fluid analysis.
  • To enable precise quantification of oil and water saturations and estimation of oil viscosity and gas-oil ratio.

Main Methods:

Related Experiment Videos

  • Utilizing multi-dimensional NMR logging data, specifically focusing on 2D (D-T2) and 3D (D-T2-T1) proton density distributions.
  • Acquiring data through multiple CPMG echo trains with controlled echo spacing and wait times to encode diffusion, T1, and T2 relaxation information.
  • Leveraging the contrast in diffusion coefficients between oil and water for phase identification.

Main Results:

  • Successfully differentiated and identified oil and water phases within rock samples using 2D and 3D NMR data.
  • Obtained 2D/3D proton density distribution functions from processed NMR echo trains.
  • Determined water and oil saturations, with potential for estimating oil viscosity and gas-oil ratio.

Conclusions:

  • The developed multi-dimensional NMR inversion methodology provides a robust approach for pore fluid typing and quantification in petroleum exploration.
  • The 2D and 3D NMR techniques effectively distinguish between oil and water, enabling accurate saturation calculations.
  • The method's capability extends to estimating key fluid properties like oil viscosity and gas-oil ratio, enhancing reservoir characterization.