油页岩的地球物理识别和评价方法  

A geophysical method for the identification and evaluation of oil shale

作　　者：张佳佳[1] 李宏兵[1] 姚逢昌[1] 

机构地区：[1]中国石油勘探开发研究院,北京100083

出　　处：《石油学报》2012年第4期625-632,共8页Acta Petrolei Sinica

基　　金：国家重大科技专项"油页岩资源勘查与评价"(2008ZX05018-001)资助

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。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 （△logR overlapping） by overlapping seismic acous- tic 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 in- verting 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 △logR 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.

关 键 词：油页岩 ΔlogR重叠法 波阻抗 岩石物理反演 地震多属性预测 

分 类 号：TE122.9[石油与天然气工程—油气勘探]