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Determination of surface relaxivity from NMR diffusion measurements
1Shell International Exploration and Production, Rijswijk, The Netherlands. w.f.j.slijkerman@siep.shell.com
Magnetic Resonance Imaging
|November 6, 1998
Summary
This study introduces a new method to directly measure surface relaxivity using Nuclear Magnetic Resonance (NMR) T2-decay and diffusion measurements. This advance enhances pore-size distribution analysis in rocks and aids reservoir characterization.
Area of Science:
- Geophysics
- Petrophysics
- Materials Science
Background:
- Nuclear Magnetic Resonance (NMR) T2-decay measurements are crucial for interpreting pore-size distributions in porous media.
- Accurate surface relaxivity values are essential for quantitative NMR applications, including NMR-derived capillary pressure curves.
- Existing methods often assume uniform pore systems, limiting their applicability to complex rock formations.
Purpose of the Study:
- To demonstrate a novel method for directly determining surface relaxivity from NMR measurements.
- To extend the application of NMR T2-decay analysis to realistic rock pore-size distributions.
- To enable new applications of NMR logging in oil and gas reservoir characterization.
Main Methods:
- Simultaneous measurement of T2 relaxation and restricted diffusion using NMR in a static magnetic field gradient.
- Combining restricted diffusion, which is independent of surface relaxivity, with T2 relaxation to isolate surface relaxivity.
- Laboratory NMR diffusion measurements performed on sandstone core plugs.
Main Results:
- Successfully determined surface relaxivity directly from NMR T2-decay and diffusion data.
- Validated the method by comparing results with those obtained from other established techniques.
- Demonstrated the method's capability to handle full pore-size distributions in realistic rock samples.
Conclusions:
- The developed NMR method provides a direct and accurate way to measure surface relaxivity.
- This technique overcomes limitations of previous methods, enabling analysis of complex pore structures.
- The approach has significant potential for in-situ reservoir characterization using NMR logging data.