首页> 外文期刊>Journal of Seismic Exploration >ANALYSIS OF SEISMIC SPECTRAL ATTENUATION BASED ON WIGNER-VILLE DISTRIBUTION FOR SANDSTONE RESERVOIR CHARACTERIZATION - A CASE STUDY FROM THE WEST SICHUAN DEPRESSION, CHINA
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ANALYSIS OF SEISMIC SPECTRAL ATTENUATION BASED ON WIGNER-VILLE DISTRIBUTION FOR SANDSTONE RESERVOIR CHARACTERIZATION - A CASE STUDY FROM THE WEST SICHUAN DEPRESSION, CHINA

机译:基于WIGNER-VILLE分布的砂岩储层特征化地震波衰减分析-以四川西部DE陷为例

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摘要

A mass of previous work has shown the application of seismic spectral decomposition for low frequency shadows detection and stratigraphic mapping. In this paper, we further analyze the characteristics of spectral attenuation in fractured sandstone reservoirs saturated with different fluids by Wigner-Ville distribution (WVD) based method. We give a description on the geometric structure of cross-terms due to bilinear nature of WVD with a multicomponent signal composed of three Gaussian time-frequency atoms. Then cross-terms are eliminated using improved WVD with time and frequency independent Gaussian kernels as smoothing windows, what is called the smoothed pseudo WVD (SPWVD). At last the SPWVD is applied to spectral decomposition of seismic data from West Sichuan depression of China. We focus our study on the comparison of characteristics of spectral attenuation in order to verify whether SPWVD can differentiate different fluids content. It shows that prolific gas reservoirs show higher peak spectral amplitude at higher peak frequency, which attenuate faster than low quality gas reservoirs and dry or wet reservoirs. SPWVD is able to separate prolific gas reservoirs from low-quality gas reservoirs nnd dry or wet reservoirs. This can be regarded as a spectral attenuation signature for future exploration in the study area.
机译:大量先前的工作表明了地震频谱分解在低频阴影检测和地层测绘中的应用。在本文中,我们基于Wigner-Ville分布(WVD)方法,进一步分析了在不同流体饱和的裂缝性砂岩油藏中的光谱衰减特征。由于WVD具有由三个高斯时频原子组成的多分量信号的双线性特性,我们对交叉项的几何结构进行了描述。然后,使用改进的WVD(具有时间和频率独立的高斯核作为平滑窗口)来消除交叉项,这称为平滑伪WVD(SPWVD)。最后将SPWVD应用于中国四川西部depression陷地震数据的频谱分解。我们将研究重点放在光谱衰减特性的比较上,以验证SPWVD是否可以区分不同的流体含量。结果表明,多产气藏在较高的峰值频率处显示出较高的峰频谱幅度,其衰减速度快于劣质气藏和干,湿气藏。 SPWVD能够将多产的气藏与劣质的气藏以及干,湿气藏分开。这可以被视为光谱衰减的特征,以供将来在研究区域进行探索。

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