摘要
广义S变换具有良好的时频聚集性,能够获得反映储层性质的时频谱,但由此生成许多单频数据体,造成地震数据的分析和解释工作变得繁琐。为此,将广义S变换和特征矩阵联合近似对角化(JADE)算法相结合,进行储层识别。在时间域内对地震信号做广义S变换,然后在时频域内提取一些相互独立的有效频率分量,最后根据已知井的储层发育情况,选取对储层识别有效的频段分量进行储层预测。仿真和实际地震数据应用结果表明了该方法的有效性。
Generalized S Transform(GST)has good time-frequency focusing, and can obtain time-frequency spectrum for reflecting the properties of reservoir.However,the procedure will produce many single-frequency data bodies,which complicates the seismic data processing and interpretation subsequently.Therefore,we combined GST with Joint Approximate Diagonalization of Eigenmatrix (JADE)to identify reservoir.GST was proceeded on seismic signals in time domain.Then,some independent effective frequency components were extracted in time-frequency domain.Finally,by using the reservoir development information of some known wells, the frequency band components effectively for reservoir identification were selected for reservoir prediction.The simulation and actual application results show the validity of the method.
出处
《石油物探》
EI
CSCD
北大核心
2011年第4期319-323,23,共5页
Geophysical Prospecting For Petroleum
基金
国家自然科学青年基金项目(40904034)
中国地质调查局项目(1212010916040)
数学地质四川省重点实验室开放基金项目(SCSXDZ2009016)资助
关键词
广义S变换
联合对角化
时频分析
储层识别
Generalized S Transform(GST)
joint diagonalization
time-frequency analysis
reservoir identification
