Prediction of reservoir fracture is the key to explore fracture-type reservoir. When a shear-wave propagates in anisotropic media containing fracture,it splits into two polarized shear waves: fast shear wave and slow ...Prediction of reservoir fracture is the key to explore fracture-type reservoir. When a shear-wave propagates in anisotropic media containing fracture,it splits into two polarized shear waves: fast shear wave and slow shear wave. The polarization and time delay of the fast and slow shear wave can be used to predict the azimuth and density of fracture. The current identification method of fracture azimuth and fracture density is cross-correlation method. It is assumed that fast and slow shear waves were symmetrical wavelets after completely separating,and use the most similar characteristics of wavelets to identify fracture azimuth and density,but in the experiment the identification is poor in accuracy. Pearson correlation coefficient method is one of the methods for separating the fast wave and slow wave. This method is faster in calculating speed and better in noise immunity and resolution compared with the traditional cross-correlation method. Pearson correlation coefficient method is a non-linear problem,particle swarm optimization( PSO) is a good nonlinear global optimization method which converges fast and is easy to implement. In this study,PSO is combined with the Pearson correlation coefficient method to achieve identifying fracture property and improve the computational efficiency.展开更多
本文根据美国睡眠医学研究院(American Academy of Sleep Medicine)提供的人体睡眠质量指数与志愿者相应的性别、年龄、可信度、精神质、神经质、性格六种可能影响人体睡眠质量指标的数据对睡眠质量进行分析。多项研究表明,性别对人体...本文根据美国睡眠医学研究院(American Academy of Sleep Medicine)提供的人体睡眠质量指数与志愿者相应的性别、年龄、可信度、精神质、神经质、性格六种可能影响人体睡眠质量指标的数据对睡眠质量进行分析。多项研究表明,性别对人体睡眠质量指数影响不大[1],但是对其他可能影响人体睡眠质量指标的影响较大。基于这一个前提,首先,本文利用Pearson相关系数分析法和Spearman相关系数分析法,通过SPSS对六种可能影响人体睡眠质量指标与人体睡眠质量指标进行相关性分析,然后结果表明:可信度、神经质对人体睡眠质量影响较为显著,年龄、性别对睡眠质量影响不大,但是精神质和性格因素在不同性别人群中表现出截然不同的显著性。精神质对男性的睡眠质量有显著影响,而性格因素对女性的睡眠质量有显著影响。展开更多
文摘Prediction of reservoir fracture is the key to explore fracture-type reservoir. When a shear-wave propagates in anisotropic media containing fracture,it splits into two polarized shear waves: fast shear wave and slow shear wave. The polarization and time delay of the fast and slow shear wave can be used to predict the azimuth and density of fracture. The current identification method of fracture azimuth and fracture density is cross-correlation method. It is assumed that fast and slow shear waves were symmetrical wavelets after completely separating,and use the most similar characteristics of wavelets to identify fracture azimuth and density,but in the experiment the identification is poor in accuracy. Pearson correlation coefficient method is one of the methods for separating the fast wave and slow wave. This method is faster in calculating speed and better in noise immunity and resolution compared with the traditional cross-correlation method. Pearson correlation coefficient method is a non-linear problem,particle swarm optimization( PSO) is a good nonlinear global optimization method which converges fast and is easy to implement. In this study,PSO is combined with the Pearson correlation coefficient method to achieve identifying fracture property and improve the computational efficiency.
文摘本文根据美国睡眠医学研究院(American Academy of Sleep Medicine)提供的人体睡眠质量指数与志愿者相应的性别、年龄、可信度、精神质、神经质、性格六种可能影响人体睡眠质量指标的数据对睡眠质量进行分析。多项研究表明,性别对人体睡眠质量指数影响不大[1],但是对其他可能影响人体睡眠质量指标的影响较大。基于这一个前提,首先,本文利用Pearson相关系数分析法和Spearman相关系数分析法,通过SPSS对六种可能影响人体睡眠质量指标与人体睡眠质量指标进行相关性分析,然后结果表明:可信度、神经质对人体睡眠质量影响较为显著,年龄、性别对睡眠质量影响不大,但是精神质和性格因素在不同性别人群中表现出截然不同的显著性。精神质对男性的睡眠质量有显著影响,而性格因素对女性的睡眠质量有显著影响。
