摘要
在地震资料处理中,最小熵原理或关于方差模的最优化技术得到了广泛的应用。当地震记录的分辨率在某种意义上达到最佳时,可以认为地震记录的熵达到最小或方差模达到极值,这就是所谓的“集约化”准则。集约可以定义为地震记录作为随机过程在时间排布上的结构化程度;而结构化程度是指所研究的随机过程在从无序到有序的所有可能排布状态中所处的位置。具体地说,就是地震道经过集约化过程后达到最简练结构化的程度。集约化过程包括反褶积、常相位滤波、纯相位滤波、频谱外推以及叠加处理等。本文从集约化准则的意义上说明了这些过程并分析了集约化过程的某些技术性问题。
Optimum techniques based on the minimum entropy principle (or variance norm)are widely used in seismic data processing.When the resolution of seismic da- ta becomes optimum in a sense,the entropy of seismic data can be thought to be minimum;that is to say,the variance norm gets to the limit value.This is so called “parsimonious criterion”.Parsimony is defined as structuralization degree which seismic record as a stochastic process exhibits in time series.Strueturalization degree means a position of all possible distributions for the stochastic process that varies from disordering to ordering.To speak correctly,seismic record gets the simplest structuralization after parsimonious processing.The parsimonious processing in- cludes deconvolution,constant phase filtering,pure phase filtering,frequency spec- trum extrapolation,stacking and so on.These processes are illustrated on the mean- ing of parsimonious criterion.Some technical problems are discussed here.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1993年第6期678-684,共7页
Oil Geophysical Prospecting
基金
本项目为国家自然科学基金会
中国科学院
中国石油天然气总公司
大庆石油管理局联合资助项目
关键词
集约化准则
熵
反褶积
地震数据
parsimonious criterion
maximum variance norm criterion
minimum entropy criterion
deconvolution
