The compressibility of shale matrix reflects the effects of reservoir lithology, material composition, pore structure and tectonic deformation. It is important to understand the factors that influence shale matrix com...The compressibility of shale matrix reflects the effects of reservoir lithology, material composition, pore structure and tectonic deformation. It is important to understand the factors that influence shale matrix compressibility(SMC) and their effects on pore size distribution(PSD) heterogeneity in order to evaluate the properties of unconventional reservoirs.In this study, the volumes of pores whose diameters were in the range 6–100 nm were corrected for SMC for 17 shale samples from basins in China using high-pressure mercury intrusion and low-temperature nitrogen gas adsorption analyses,in order to investigate the factors influencing the SMC values. In addition, the variations in fractal dimensions before and after pore volume correction were determined, using single and multifractal models to explain the effects of SMC on PSD heterogeneity. In this process, the applicability of each fractal model for characterizing PSD heterogeneity was determined using statistical analyses. The Menger and Sierpinski single fractal models, the thermodynamic fractal model and a multifractal model were all used in this study. The results showed the following. The matrix compression restricts the segmentation of the fractal dimension curves for the single fractal Menger and Sierpinski models, which leads to a uniformity of PSD heterogeneity for different pore diameters. However, matrix compression has only a weak influence on the results calculated using a thermodynamic model. The SMC clearly affects the multifractal value variations, showing that the fractal dimension values of shale samples under matrix compression are small. Overall PSD heterogeneity becomes small for pores with diameters below 100 nm and the SMC primarily affects the PSD heterogeneity of higher pore volume areas. The comparison of fractal curves before and after correction and the variance analysis indicate that the thermodynamic model is applicable to quantitatively characterize PSD heterogeneity of shale collected from this sampling area. The results show that PSD heterogeneity increases gradually as micro-pore volumes increase.展开更多
页岩孔隙特征是页岩储层研究的重要内容.基于沁水盆地S-1井太原组、山西组页岩样品,利用氩离子抛光扫描电镜(argon ion polishing scanning electron microscope,Ar-SEM)对孔隙形态特征进行分析,并运用孔裂隙特征分析系统软件(pores and...页岩孔隙特征是页岩储层研究的重要内容.基于沁水盆地S-1井太原组、山西组页岩样品,利用氩离子抛光扫描电镜(argon ion polishing scanning electron microscope,Ar-SEM)对孔隙形态特征进行分析,并运用孔裂隙特征分析系统软件(pores and cracks analysis system,PCAS)对Ar-SEM照片中孔隙进行定量表征.结果显示样品孔隙以有机质孔、粒间孔、粒内孔为主,孔径多集中在<100nm,占比72.70%~82.13%,其中介孔占比39.76%~45.48%.随深度的增加孔隙结构越来越复杂,且越深的层位,随孔隙面积的增大其结构复杂程度增加的越缓慢.孔隙结构复杂程度在Ro,max=2附近存在拐点,高成熟阶段,随成熟度的增加孔隙结构复杂程度越来越低,且孔隙面积越大其结构复杂程度越低;过成熟阶段,随成熟度的增加孔隙结构复杂程度越来越高,且孔隙面积越大其结构复杂程度越高.展开更多
基金funded by grants from the Natural Science Foundation of Shandong Province, China (Nos. ZR2021QD072 and ZR2020QD040)。
文摘The compressibility of shale matrix reflects the effects of reservoir lithology, material composition, pore structure and tectonic deformation. It is important to understand the factors that influence shale matrix compressibility(SMC) and their effects on pore size distribution(PSD) heterogeneity in order to evaluate the properties of unconventional reservoirs.In this study, the volumes of pores whose diameters were in the range 6–100 nm were corrected for SMC for 17 shale samples from basins in China using high-pressure mercury intrusion and low-temperature nitrogen gas adsorption analyses,in order to investigate the factors influencing the SMC values. In addition, the variations in fractal dimensions before and after pore volume correction were determined, using single and multifractal models to explain the effects of SMC on PSD heterogeneity. In this process, the applicability of each fractal model for characterizing PSD heterogeneity was determined using statistical analyses. The Menger and Sierpinski single fractal models, the thermodynamic fractal model and a multifractal model were all used in this study. The results showed the following. The matrix compression restricts the segmentation of the fractal dimension curves for the single fractal Menger and Sierpinski models, which leads to a uniformity of PSD heterogeneity for different pore diameters. However, matrix compression has only a weak influence on the results calculated using a thermodynamic model. The SMC clearly affects the multifractal value variations, showing that the fractal dimension values of shale samples under matrix compression are small. Overall PSD heterogeneity becomes small for pores with diameters below 100 nm and the SMC primarily affects the PSD heterogeneity of higher pore volume areas. The comparison of fractal curves before and after correction and the variance analysis indicate that the thermodynamic model is applicable to quantitatively characterize PSD heterogeneity of shale collected from this sampling area. The results show that PSD heterogeneity increases gradually as micro-pore volumes increase.
文摘页岩孔隙特征是页岩储层研究的重要内容.基于沁水盆地S-1井太原组、山西组页岩样品,利用氩离子抛光扫描电镜(argon ion polishing scanning electron microscope,Ar-SEM)对孔隙形态特征进行分析,并运用孔裂隙特征分析系统软件(pores and cracks analysis system,PCAS)对Ar-SEM照片中孔隙进行定量表征.结果显示样品孔隙以有机质孔、粒间孔、粒内孔为主,孔径多集中在<100nm,占比72.70%~82.13%,其中介孔占比39.76%~45.48%.随深度的增加孔隙结构越来越复杂,且越深的层位,随孔隙面积的增大其结构复杂程度增加的越缓慢.孔隙结构复杂程度在Ro,max=2附近存在拐点,高成熟阶段,随成熟度的增加孔隙结构复杂程度越来越低,且孔隙面积越大其结构复杂程度越低;过成熟阶段,随成熟度的增加孔隙结构复杂程度越来越高,且孔隙面积越大其结构复杂程度越高.
