【摘要】 利用地球物理方法识别和评价油页岩主要是依靠测井技术,地震方面研究非常薄弱。在现有的油页岩测井响应特征和测井评价方法(ΔlogR重叠法)的基础上对ΔlogR重叠法进行了拓展,引入波阻抗与常规测井响应特征进行重叠来评价油页岩;同时根据油页岩的岩石结构特征,建立油页岩岩石物理模型,提出了一种基于岩石物理模型的由速度反演油页岩有机质含量的方法;最后利用地震多属性预测技术将已知钻井的含油率信息反演外推到地震数据,得到预测的含油率数据。结果表明,波阻抗ΔlogR重叠法、岩石物理反演法和地震多属性预测法都可以有效地评价油页岩的有机碳含量和含油率。更多还原

【Abstract】 Currently,the identification and evaluation of oil shale in the way of geophysics is mainly depending on logging technology with few seismic means.We developed the logging evaluation method of oil shale(ΔlogR overlapping) by overlapping seismic acoustic impedance and conventional logging response characteristics to evaluate oil shale.Meanwhile,a petrophysical model for oil shale was established according to its structural characteristics and a new method to calculate the organic matter content of oil shale by inverting velocity was also presented based on this petrophysical model.Finally,the oil-cut information of a known well was inversely extrapolated to seismic data by using seismic multi-attribute prediction so as to get predicted oil-cut data.The results showed that the ΔlogR overlapping with seismic acoustic impedance,petrophysical velocity-inversion and seismic multi-attribute prediction methods are all able to effectively evaluate the total organic carbon and oil-cut of oil shale.更多还原