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<p>Based on experimental results, a new construction method is proposed. Firstly, the mean throat diameter is calculated using the geometric mean of <i>T</i><sub>2</sub> values extracted from nuclear magnetic resonance (NMR) <i>T</i><sub>2</sub> spectra. Then, the reservoir types are divided into five categories based on the mean throat diameter. Categories I and II are constructed using a two-segment power function to build the capillary pressure curve, while categories III, IV, and V are constructed using a two-segment power function and a linear function in a three-segment approach. The values of the breakpoints in the relationship between <i>P</i><sub>c</sub> and 1/<i>T</i><sub>2</sub> are determined using the geometric mean of <i>T</i><sub>2</sub> values. Finally, a model is developed to classify and segmentally construct the pseudo-capillary pressure curve for the entire region. The results obtained using this method show good agreement with the experimentally measured capillary pressure curve and accurately calculate the mean throat diameter. This method provides a technical foundation for expanding the application of nuclear magnetic resonance well logging.</p>

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Classification and Segmental Construction of Pseudo-Capillary Pressure Curve Using NMR T2 Spectrum

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • Yi Zhao

摘要

Based on experimental results, a new construction method is proposed. Firstly, the mean throat diameter is calculated using the geometric mean of T2 values extracted from nuclear magnetic resonance (NMR) T2 spectra. Then, the reservoir types are divided into five categories based on the mean throat diameter. Categories I and II are constructed using a two-segment power function to build the capillary pressure curve, while categories III, IV, and V are constructed using a two-segment power function and a linear function in a three-segment approach. The values of the breakpoints in the relationship between Pc and 1/T2 are determined using the geometric mean of T2 values. Finally, a model is developed to classify and segmentally construct the pseudo-capillary pressure curve for the entire region. The results obtained using this method show good agreement with the experimentally measured capillary pressure curve and accurately calculate the mean throat diameter. This method provides a technical foundation for expanding the application of nuclear magnetic resonance well logging.