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吴进波, 张海荣, 陈现. 核磁测井资料在岩石粒度反演中的应用[J]. 海洋石油, 2022, 42(3): 67-73. DOI: 10.3969/j.issn.1008-2336.2022.03.067
引用本文: 吴进波, 张海荣, 陈现. 核磁测井资料在岩石粒度反演中的应用[J]. 海洋石油, 2022, 42(3): 67-73. DOI: 10.3969/j.issn.1008-2336.2022.03.067
WU Jinbo, ZHANG Hairong, CHEN Xian. The Application of NMR Logging Data in the Inversion of Rock Grain Size[J]. Offshore oil, 2022, 42(3): 67-73. DOI: 10.3969/j.issn.1008-2336.2022.03.067
Citation: WU Jinbo, ZHANG Hairong, CHEN Xian. The Application of NMR Logging Data in the Inversion of Rock Grain Size[J]. Offshore oil, 2022, 42(3): 67-73. DOI: 10.3969/j.issn.1008-2336.2022.03.067

核磁测井资料在岩石粒度反演中的应用

The Application of NMR Logging Data in the Inversion of Rock Grain Size

  • 摘要: 岩石粒度参数是储层岩石物理分析的关键评价参数。研究岩心核磁共振T2谱与岩石粒度分布曲线之间的关系,发现核磁共振T2分布与岩石粒度分布直接相关,因此可以利用核磁T2谱资料来反演岩石粒度分布。首先基于岩心实验结果对每块岩心采用分段非线性刻度转换方法由核磁T2分布计算岩石粒度分布,调整刻度参数使得计算得到的粒度分布与岩心分析粒度分布逼近,误差最小时即获得每块岩心的转换刻度参数。然后结合孔渗参数对岩心进行分类,确定每类岩心的刻度参数。最后根据实际核磁测井T2分布曲线对井下岩石粒度进行反演,反演结果与岩心分析结果对比效果良好,验证了方法的可靠性,为地质储层岩石物理分析提供准确的连续岩石粒度分布剖面。

     

    Abstract: Rock grain size parameter is the key parameter of reservoir rock physics analysis. The study of the relationship between NMR T2 spectrum and rock grain size distribution curve showed NMR T2 distribution directly related to and particle size distribution of rock. Hence NMR T2 spectral data can be used to retrieve the size distribution of rock. Firstly, based on the core experiment results, the rock particle size distribution is calculated from the NMR T2 distribution, using the conversion method of piecewise nonlinear calibration for each core, adjusting the calibration parameters to make the particle size distribution calculated approximate with the particle size distribution got thourgh core analysis, then obtain each core conversion scale parameter when error is minimum. Then classify the core and obtain scale parameters of each type according to the parameters of pore and permeability. At last, the granularity of down-hole rocks is inversed according to the actual NMR T2 distribution curve. It turned out that the inversion results fitted most core analysis results, which suggested the method is reliable and can provide accurate, continuous rock size distribution profile for geological reservoir rock physics analysis.

     

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