摘要
将从地震资料中提取的地震子波代替S变换中的基本小波,实现了应用在地震资料中的广义S变换。通过对理论薄层模型的试验得出,基于广义S变换的频谱可将大于λ/8的薄层检测出来,证明了广义S变换具有高定位的时频谱,而且广义S变换具有自适应时频窗,输入长度不受时窗的限制等优点,克服了离散傅立叶变换时窗的局限性,因此在傅氏变换频谱分解的基础上实现了基于广义S变换的储集层频谱成像技术,并与傅氏变换频谱分解结果作了对比,取得了良好的效果,成功地应用在了印尼、塔里木、准噶尔等多个地区。
The generalized S-transform （GST） applied to seismic data interpretation is achieved by means of replacing the basic wavelet in S-transform （ST） by the seismic wavelet extracted from seismic data. It is shown from the test of thin layer model that the thin layer greater than k/8 can be detected by GST with the super time-frequency localization spectrum of ST. Moreover, the self-adapted timefrequency window of GST and the arbitrary input data length allow to deal with the limitations of discrete Fourier transform time window, and the reservoir imaging by energy spectrum can be realized based on the spectrum decomposition theory of Fourier transformation with good results by comparison between the two. This method has been applied to many areas such as Tarim, Junggar and Indonesia, successfully.
出处
《新疆石油地质》
CAS
CSCD
北大核心
2009年第5期629-632,共4页
Xinjiang Petroleum Geology
关键词
S变换
广义S变换
频谱分解
储集层成像
S-transform
generalized ST
spectrum decomposition
reservoir imaging
