赵斌, 尚彦军. 2018: 基于复杂网络理论的页岩纳米孔隙连通性表征. 工程地质学报, 26(2): 504-509. DOI: 10.13544/j.cnki.jeg.2017-067
    引用本文: 赵斌, 尚彦军. 2018: 基于复杂网络理论的页岩纳米孔隙连通性表征. 工程地质学报, 26(2): 504-509. DOI: 10.13544/j.cnki.jeg.2017-067
    ZHAO Bin, SHANG Yanjun. 2018: CHARACTERIZING CONNECTIVITY OF NANO-SIZED PORES OF SHALE BASED ON COMPLEX NETWORK THEORY. JOURNAL OF ENGINEERING GEOLOGY, 26(2): 504-509. DOI: 10.13544/j.cnki.jeg.2017-067
    Citation: ZHAO Bin, SHANG Yanjun. 2018: CHARACTERIZING CONNECTIVITY OF NANO-SIZED PORES OF SHALE BASED ON COMPLEX NETWORK THEORY. JOURNAL OF ENGINEERING GEOLOGY, 26(2): 504-509. DOI: 10.13544/j.cnki.jeg.2017-067

    基于复杂网络理论的页岩纳米孔隙连通性表征

    CHARACTERIZING CONNECTIVITY OF NANO-SIZED PORES OF SHALE BASED ON COMPLEX NETWORK THEORY

    • 摘要: 页岩孔隙结构的表征是页岩气储层评价的基础性工作。钻取岩芯,采集鄂尔多斯盆地上三叠系延长组页岩。使用纳米CT观测10 μm3、20 μm3、30 μm3、39 μm3空间内页岩的孔隙结构,获取孔隙、喉道数量,以及连通性数据,重构孔隙结构三维模型。将孔隙结构抽象为球-棍物理模型,采用复杂网络理论建立关于孔隙结构连通性的结点-边数学模型。依据无标度网络的数学特性,使用Matlab软件生成10 μm3空间内孔隙连通性网络。引入网络连通熵的概念,用于计算不同空间范围内孔隙连通性网络的网络连通熵,评价孔隙结构的异质性。结果表明:10 μm3、20 μm3、39 μm3空间内孔隙连通性网络度分布符合幂律分布;30 μm3空间内孔隙连通性网络度分布符合指数分布;网络连通熵增加,孔隙和喉道网络的连通性减小。该方法可用于评价页岩孔隙的连通性,进而评价页岩气储层的孔渗特性。

       

      Abstract: Characterizing pore structure of shale is the basic work for shale reservoir evaluation. Shale in this study is collected from the upper Triassic Yanchang formation in Ordos Basin. Pore structures including pores and throats, in spaces 10 μm3, 20 μm3, 30 μm3, 39 μm3, are investigated with Nano-CT(scanning accuracy is 65 nm). The numbers of pores and throats connecting with pores in different spaces are counted. Assuming pores and throats as balls and tubes, respectively, the physical models "ball-and -tube models" of pore structures are abstracted. The corresponding mathematical models of pore connectivity are founded through complex network theory. The pores and throats are respectively treated as nodes and edges. The pore connectivity network in 10 μm3 is constructed by Matlab software according to the mathematical characterizes of scale-free network. The conception of network connectivity entropy is introduced to assess the heterogeneity of pore connectivity networks. The investigation indicates that the pore connectivity networks in spaces 10 μm3, 20 μm3 and 39 μm3 are the scale free networks whose degree distribution conforms to power law distribution. The degree distribution of pore connectivity networks in spaces 10 μm3 accords with exponential distribution. The connectivity of pore and throat network decreases as the network connectivity entropy increases. The method in this study can be used to evaluate the connectivity of porous structures of shale, and assess the porous and permeable characteristics of shale gas reservoir.

       

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