Reservoir time-lapse variations and coda wave interferometry  

基于尾波干涉的储层时移特性监测方法研究（英文）

作　　者：唐杰[1] 李晶晶 姚振岸 邵婕 孙成禹[1] 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,青岛266580

出　　处：《Applied Geophysics》2015年第2期244-254,276,共12页应用地球物理（英文版）

基　　金：sponsored by the 973 Program of China(No.2013CB228604);the Natural Science Foundation of Shandong Province(No.ZR2013DQ020);the Fundamental Research Funds for the Central Universities(No.15CX08002A);the National Natural Science Foundation of China(No.41374123)

摘　　要：Coda waves are multiply scattered waves that arrive much later than the major waves. Small seismic velocity variations are observed in reservoirs because of small variations in reservoir properties, which affect the first arrivals. Hence, first arrivals cannot be used to detect small seismic velocity variations. However, small variations can be reliably detected by the coda waves because of the amplification owing to multiple scattering. We investigate the ability of coda wave interferometry to detect seismic velocity variations and monitor time-lapse reservoir characteristics using numerical simulations and experimental data. We use the Marmousi II model and finite-difference methods to build model seismic data and introduce small seismic velocity variations in the target layer. We examine the model seismic data before and after the changes and observe the coda waves. We find that velocity changes can be detected by coda wave interferometry and demonstrate that coda wave interferometry can be used in monitoring time- lapse reservoir characteristics.尾波是持续时间比主要波型长得多的多重散射波,它包含了直达波之外的部分有用信号。在油气田的开采过程中,由储层物性参数的微小变化而导致的储层速度的微小变化对初至的影响很小,无法通过初至变化直接观测,但是因为尾波为多重散射波,故储层速度的微小变化会在尾波的传播过程中被放大,因此利用尾波可以观测到这种变化。本文通过实验与数值模拟研究了尾波干涉方法在储层微小时移差异监测方面的有效性。合成地震数据是基于部分MarmousiⅡ模型采用有限差分波动方程正演方法计算获得,为了模拟时移地震中的储层波速变化,在模型中选取波速发生微小变化的目标区,计算速度扰动前后的合成地震数据,进而观测尾波变化。研究表明利用尾波干涉可检测储层物性的微小变化,为时移地震信号监测提供新的方法和手段,从而提高时移监测的准确度,也为开发生产工作提供可靠的指导。

关 键 词：time-laose coda wave. interferornetrv wave velocity SCATTERING 

分 类 号：P631.4[天文地球—地质矿产勘探] P618.13[天文地球—地质学]