平滑Wigner——Ville 谱分解技术在储层预测中的应用

通过Wigner--Ville 分布和平滑Wigner--Ville 分布的模拟信号对比，表明平滑Wigner--Ville 分布可以自适应的调节窗口长度，成为一种有效地消除交叉项的方法。为有效提取低频信息进行储层预测，我们利用基于平滑Wigner--Ville 的谱分解技术预测油气，针对含油气储层引起地震波高频能量衰减和低频能量增强的特点，将平滑Wigner--Ville 分布应用到某工区进行叠后资料处理，通过谱分解不同频率的切片响应，得到目的层段上的低频异常现象，表明基于高分辨率平滑Wigner--Ville 分布的地震谱分解技术能够更好地表征目的层的油气分布情况。

Application of decompositon techique of smooth Wigner-Ville spectral in reservoir prediction

Making a comprasion of the analog signal contrast of Wigner--Ville distribution with those of smooth Wigner--Ville distribution，it is shown that the smooth Wigner--Ville distribution can adjust the window length， which beacomes an effective method to eliminate the cross terms． For reservoir prediction based on the effective extraction with the low-frequency information，we use the smooth Wigner--Ville spectral decomposition technique for prediction of oil and gas reservior，and by making seismic waves of high energy attenuation and low-frequency energy enhancement features． Then we apply the smooth Wigner--Ville distribution in the working area for post-stake data processing，through the different frequency slice response of spectrum decomposition，and get the abnormal phenomenon of low frequency in target layer． The results show that based on high resolution smooth Wigner--Ville distribution， can point out thin layer better．