(1. School of Resources and Environment，Henan Polytechnic University，Jiaozuo，Henan 454003，China；2. Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization，Jiaozuo，Henan 454003，China；
3. The Collaborative Innovation Center of Coalbed Methane(Shale Gas) of Central Plains Economic Region，
Jiaozuo，Henan 454003，China)
Abstract：The pore structure of natural reservoirs perfroms a multi-scale assembly system of multi-geometry under the control of scale invariant for its various contributing factors. Its quantitative characterization is the key to accurately assessing reservoir static physical properties. And the meso-control mechanism of transport characters can be further effectively revealed. Recent research shows that fractal objects are dual-complexity systems，and they are composed of independent original complexity and behavioral complexity. Therefore，they are key to achieving quantitative characterization of pore structure，i.e. equivalent characterization of original complexity and unique definition of behavioral complexity. Thus，this paper systematically studied methods for characterizing complex pore structure and summarized their advantages and limitations. Following the definition of original complexity elements in fractal pore structures，we developed the pore-throat-solid-network-connectivity algorithm，and achieved equivalent characterization of any original complex types，i.e.，single/multi-scale，phase and type. With fractal topology theory，this research verified the unique definition of self-sameness，self-similarity and self-affinity in pore structures. Then，a unified characterization model of pore structure is constructed based on the concept of complexity assembly. The adaptability of the new model to the fine description of pore structures in natural reservoir is finally discussed beyond its fully verification. A theoretical and methodological system for quantitative characterization of fractal porous media.
金 毅1，2，3，刘丹丹1，郑军领1，董佳斌1，2，王俏俏1，黄 欢1，赵静妍1，刘顺喜1，2，3，宋慧波1，2，3. 自然分形多孔储层复杂类型及其组构模式表征：理论与方法[J]. 岩石力学与工程学报, 2023, 42(4): 781-797.
JIN Yi1，2，3，LIU Dandan1，ZHENG Junling1，DONG Jiabin1，2，WANG Qiaoqiao1，HUANG Huan1，. Principle and approach for the characterization of complexity types and their assembly pattern in natural fractal porous reservoir. , 2023, 42(4): 781-797.
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