摘要
地震勘探中地层薄层特征的描述对提高地震分辨率十分重要。谱反演是建立在谱分解、时频分析基础上的一种反演方法。本文在已知子波的情况下,采用全局搜索的非常快速模拟退火算法(VFSA)对高信噪比的叠后地震资料进行谱反演。有效的识别了调谐厚度以下的薄层,得到近似反射系数的剖面,同时拓展了原始资料的频带宽度,提高了资料的分辨率,为解释资料的局部细微特征起到重要作用。
The description of thin bed in seismic prospecting is very important for obtaining high frequency.Spectral inversion is a method based on the spectral resolution and time-frequency analysis,which can effectively determine the layer thickness below the seismic tuning thickness.In this paper,a global search method——Very Fast Simulated Annealing（VFSA） is used to spectral inversion in high SNR post-stack seismic data.As the presence of noise,in experiment,band spectrum is used in spectral inversion.The result is Quiasi-reflection coefficient.The method expands the bandwidth of the original data,and enhances the data resolution.It is an important role to explain the subtle characteristics in seismic prospecting.
出处
《西北地震学报》
CSCD
北大核心
2012年第4期313-318,323,共7页
Northwestern Seismological Journal
基金
国家油气重大专项(2011ZX05014-001-010HZ)
中国石油科技创新基金(2011D-5006-0301)
中央高校基本科研业务费专项资金(11CX05006A)
关键词
地震分辨率
拓频
快速模拟退火
谱反演
薄层识别
Seismic resolution
Expand bandwith
Very Fast Simulated Annealing
Spectral inversion
Thin bed identification
