以松南断陷查干花气田火石岭组火山岩为例，平均孔隙度、渗透率分别为4.5%和0.08×10^-3 μm²,储层致密且非均质性强，需要大套储层一起试气才能达标，储层分类标准难以确定。利用物性数据、高压压汞、核磁共振等实验进行火山岩储层微观结构分析，通过多参数对比建立了微观分类标准，采用核磁测井作为衔接，从微观参数推导到宏观参数，综合建立了火山岩储层分类评价标准，其中包括微观结构的孔喉半径、排驱压力、退汞饱和度等，以及核磁测井和实验的T₂谱分布、离心饱和度，还有宏观参数孔隙度、渗透率、饱和度、声波时差、岩性密度、电阻率，将储层由好到坏划分为A、B和C类，该方法可操作性强，为新钻井的测试方案以及勘探、开发水平井的“甜点”层优选提供了可靠依据。研究方法与认识对开展火山岩储层的分类研究具有一定的参考意义。

In the Chaganhua Gas Field within the Songnan Fault Depression, the Huoshiling Formation's volcanic reservoirs exhibit an average porosity of 4.5% and a permeability of 0.08×10^-3 μm, indicating a dense and highly heterogeneous nature. Due to this complexity, a comprehensive approach, testing a broad set of reservoirs, is required to establish effective classification criteria. This study used physical property data, high-pressure mercury injection, nuclear magnetic resonance, and other experiments to analyze the microstructure of volcanic reservoirs. Through multi parameter comparison, a microscopic classification standard was established. Nuclear magnetic logging served as a bridge between microscopic and macroscopic parameters, facilitating the creation of a comprehensive evaluation framework for classifying volcanic reservoirs. This framework encompasses microscopic structural features such as pore throat radius, displacement pressure, mercury saturation, alongside macroscopic parameters obtained from nuclear magnetic logging and other experiments, such as the T2 spectrum distribution, centrifugal saturation, porosity, permeability, saturation, acoustic time difference, lithology density, and resistivity. Reservoirs are categorized from high to low quality into classes A, B, and C based on this comprehensive set of criteria. This method has strong operability and provides a reliable basis for the testing plan of new drilling and the optimization of sweet spots in exploration and development of horizontal wells. The research methods and understanding have certain reference significance for the classification research of volcanic reservoirs.