Synergetic effects of matrix components and diagenetic processes on pore properties were investigated from macroscale to nanoscale. Methods were combined to explore shales selected from well J1 in South China, in terms of elements measurement, organic geochemistry analysis, X-ray diffraction, nuclear magnetic resonance and direct imaging observation (2D wide horizon and 3D reconstruction). Three lithofacies were identified and porosity/permeability decrease in the order: authigenic siliceous shale > detrital clastic-rich shale > carbonate-rich shale. Further, different porous properties among lithofacies can be detected via image stitching technology, to achieve compatibility of large vision and high resolution. In this way, pore parameters are intuitively linked to related matrixes, which facilitates the elaboration of internal relationship between properties of pores and diagenetic mechanisms of matrixes. Authigenic siliceous shale is characterized by small pore size distribution (30–60 nm), high SEM-based surface porosity (6.04%) and good connectivity rate (60.66%), which is attributed to authigenic quartzes providing pre-existing frameworks and abundant OM contributing pore volumes. Detrital clastic-rich shale is characterized by broad pore size distribution (20–600 nm), moderate SEM-based surface porosity (3.09%) and fair connectivity rate (27.84%), since abundant detrital grain and lean OM trigger the domination of inorganic-related pore which are isolated with large diameters and small amounts. Carbonate-rich shale is characterized by small pore size distribution (10–100 nm), low SEM-based surface porosity (0.77%) and poor connectivity rate (12.86%), due to strong compaction, intensive cementation and limited OM migration. Even with similar geological history, diverse pore types and porous properties can be detected among the three lithofacies, which may attribute to different matrix components and their diagenetic processes. At over-mature stage, brittle minerals (quartz and calcite/dolomite) control OM distribution and prevent secondary pores from compaction. Whereas, ductile matrixes (clay and OM) provide the dominant pore volumes. Especially, OM can facilitate connectivity with porous attribute and migrating ability.

从宏观尺度到纳米尺度研究了基质组分和成岩过程对孔隙特性的协同作用。结合元素测量、有机地球化学分析、X射线衍射、核磁共振和直接成像观测（二维宽视位和三维重建）等方法，对华南J1井页岩进行了勘探。识别出3种岩相，孔隙度/渗透率依次降低：自生硅质页岩>碎屑富碎屑页岩>富碳酸盐页岩。此外，还可以通过图像拼接技术检测岩相之间不同的孔隙特性，实现大视野和高分辨率的兼容。这样，孔隙参数直观地与相关矩阵联系起来，这有助于阐明孔隙性质与基质成岩机制之间的内在关系。自生硅质页岩的特点是孔径分布小（30-60 nm），基于SEM的高表面孔隙率（6.04%）和良好的连通率（60.66%），这归因于自生石英提供预先存在的框架和丰富的OM贡献孔隙体积。富含碎屑碎屑页岩的特征是孔径分布宽（20-600 nm），基于扫描电镜的中等表面孔隙度（3.09%）和中等连通率（27.84%），因为丰富的碎屑颗粒和贫OM触发了无机物的支配-相关的孔，以大直径和小量被隔离。富含碳酸盐的页岩的特点是孔径分布小（10-100 nm），基于扫描电镜的表面孔隙率低（0. 77%) 和较差的连通率 (12.86%)，由于压实强、胶结强度大和 OM 迁移有限。即使具有相似的地质历史，在三种岩相中也可以检测到不同的孔隙类型和多孔性质，这可能归因于不同的基质成分及其成岩过程。在过成熟阶段，脆性矿物（石英和方解石/白云石）控制 OM 分布并防止次生孔隙被压实。而韧性基质（粘土和 OM）提供了主要的孔隙体积。特别是，OM 可以促进具有多孔属性和迁移能力的连接。这可能归因于不同的基质成分及其成岩过程。在过成熟阶段，脆性矿物（石英和方解石/白云石）控制 OM 分布并防止次生孔隙被压实。而韧性基质（粘土和 OM）提供了主要的孔隙体积。特别是，OM 可以促进具有多孔属性和迁移能力的连接。这可能归因于不同的基质成分及其成岩过程。在过成熟阶段，脆性矿物（石英和方解石/白云石）控制 OM 分布并防止次生孔隙被压实。而韧性基质（粘土和 OM）提供了主要的孔隙体积。特别是，OM 可以促进具有多孔属性和迁移能力的连接。