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Updated: Feb 5, 2026

Quantifying Mixing using Magnetic Resonance Imaging
Published on: January 25, 2012
A new side-looking downhole magnetic resonance imaging tool.
Zhe Sun1, Lizhi Xiao2, Xueli Hou3
1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China.
This study introduces a novel side-looking downhole nuclear magnetic resonance (NMR) tool. This advanced tool provides crucial radial and depth information for reservoir characterization, especially in unconventional formations.
Area of Science:
- Geophysics
- Petroleum Engineering
- Nuclear Magnetic Resonance
Background:
- Conventional downhole NMR tools primarily provide depth information, neglecting crucial radial profile data.
- Radial reservoir information is vital for accurate formation evaluation and resource assessment.
- Improving pad or side-looking tools is essential for obtaining comprehensive downhole measurements.
Purpose of the Study:
- To design and construct a novel side-looking downhole NMR tool.
- To enable simultaneous acquisition of depth and radial reservoir information.
- To enhance reservoir characterization in challenging geological settings.
Main Methods:
- Developed a new side-looking NMR tool incorporating main and pre-polarized magnets.
- Utilized pre-polarized magnets to enhance magnetic field homogeneity and sample polarization.
- Designed a winding coil with multiple frequencies to match the static magnetic field for depth-specific measurements.
Main Results:
- The new tool successfully provides depth and radially resolved reservoir information.
- Demonstrated effective tool performance with a short echo time of 0.25 ms, ensuring data accuracy.
- The sensitive region creates a side-looking image of the borehole wall.
Conclusions:
- The developed side-looking NMR tool effectively addresses the limitations of conventional tools.
- This technology offers a significant advancement for the detection and characterization of unconventional reservoirs.
- The tool's ability to provide rich, accurate, and radially resolved data enhances reservoir understanding.
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