基于角度部份叠加地震数据的流体识别技术  

FLUID IDENTIFICATION TECHNOLOGY BASED ON PARTIAL ANGLE STACK DATA

作　　者：张广智 郑静静 印兴耀 陈怀震 

机构地区：[1]中国石油大学地球物理系,山东青岛266555

出　　处：《物探化探计算技术》2011年第5期467-476,461,共10页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：国家重点基础研究计划(973)项目(2007CB209605);国家油气重大专项(2008ZX05014-001-010HZ)

摘　　要：角度部份叠加地震数据是对叠前和叠后两种数据的优点进行了折中,既具有相对较高的信噪比,又保留了丰富的信息量,所以从角道集出发研究流体识别和储层预测,能够更加准确、可靠。这里以Zoeppritz方程的Shuey近似为基础,借鉴Sm ith提出的流体因子表示方法,提出了三种流体识别和储层预测的方法与技术,从而为油藏精细描述提供较为可靠的依据。应用模型和实际数据对作者提出的方法进行了验证,结果证明了本方法可以有效地预测储层,识别流体。Angle partial stack data is the compromise of merits of seismic prestack data and post-stack data.It has higher signal-to-noise and can keep abundant information.It is more accurate and reliable for fluid identification and reservoir prediction from angle partial stack data.Learning from representation of Smith's fluid factor,this paper proposed three fluid identification and reservoir prediction methods and techniques based on Shuey approximation,which provides a reliable basis for reservoir description.Models and real seismic data are used to test the methods.The results showed that the methods in this paper can effectively predict reservoir and identify fluid.

关 键 词：角度部份叠加数据 流体因子 流体识别 CURVELET变换 

分 类 号：P631.443[天文地球—地质矿产勘探]