基于广义S变换和JADE算法的储层识别

Reservoir identification based on GST and JADE algorithm

(1.数学地质四川省重点实验室，四川成都610059；2.成都理工大学管理科学学院,四川成都610059；3.成都理工大学地球物理学院,四川成都610059；4.江苏科技大学数理学院,江苏镇江212003)

Xu Deping, Key Lab of Geomathematics of Sichuan Province,Chengdu 610059,China

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.

10.3969/j.issn.1000-1441.2011.04.001