Li J N.Study on Pore Structure Characteristics and Connectivity of Shale Reservoir.Nanjing: Nanjing University, 2017. Wu S T, Zhu R K, Cui J G, et al.Characteristics of lacustrine shale porosity evolution, Triassic Chang 7 Member, Ordos Basin, NW China.Petroleum Exploration and Development, 2015, 42(2):167-176. Wang X Z, Zhang J C, Cao J Z, et al.A preliminary discussion on evaluation of continental shale gas resources:A case study of Chang 7 of Mesozoic Yanchang Formation in Zhiluo-Xiasiwan of Yanchang.Earth Science Frontiers, 2012, 19(2):192-197. Mastalerz M, Schimmelmann A, Drobniak A, et al.Porosity of Devonian and Mississippian New Albany Shale across a maturation gradient:Insights from organic petrology, gas adsorption, and mercury intrusion.AAPG Bulletin, 2013, 97(10):1621-1643. This work has laid a foundation for the study of the genesis and evolution of micropores. The shape coefficient of intra-crystal (particle) pores and inter-crystal (particle) pores were mainly between 0.3 and 0.7, which were mainly affected by the original pore morphology, compaction and dissolution.ĬONCLUSIONSThe combination of SEM and JMicroVision is an effective means to quantitatively study the development characteristics of different types of micropores. The shape coefficients of organic pores were mainly distributed between 0.6 and 0.7, and their shape were mainly oval or nearly circular. The probabilistic entropy of intra-crystal (particle) pores and organic pores were mainly distributed between 0.5 and 0.7, with a different shape coefficient distribution. RESULTSThe inter-crystal (particle) pores and organic pores were the most developed, followed by intra-crystal (particle) pores and crystal gap inter-crystal (particle) pores. By using JMicroVision image analysis software, the pore characteristics including the number of pore types, pore size, face rate, shape coefficient, probability entropy and other parameters were quantitatively described. Based on the form, position and origin of pores observed by argon ion polishing and Scanning Electron Microscopy, the types of different pores in the sample were classified. METHODS18 shale samples were selected as the research object in this study. OBJECTIVESTo classify the pore types and quantitatively characterize these pores in shale. However, the classification of micro-pore types in mud shale reservoirs in the literature was relatively diverse, and the quantitative characterization of pore based on SEM was relatively lacking. Scanning Electron Microscopy (SEM) has been widely used to describe the pore characteristics of shale. BACKGROUNDThe pore characteristics of shale are one of the key parameters for evaluation of the shale reservoir capacity.
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