摘要
AVO属性交会图分析是进行AVO解释的最有效手段之一,但是由于AVO属性参数之间具有统计相关性,因此利用AVO属性交会得到的解释结果有不确定性。为了解决这一问题,本文提出对原交会图的属性空间进行K-L变换,再利用新空间的交会图来辅助识别交会异常。文中简要地介绍了离散K-L变换基本原理及实现步骤,并应用该方法对实际资料进行了AVO属性交会图分析,取得了较好的效果。
Analysis of AVO attributes crossplot is one of effective tools for AVO interpretation, but the statistic correlation exists between the parameters of AVO attributes, so the uncertainty of interpre- ted results could be existed in AVO attributes crossplot. In order to solve this problem, the paper presented the way carrying out the K-L transform in attributes space of original crossplot and u-sing the crossplot in new space for auxiliary identification of cross-anomaly. The paper briefly introduced the basic principle and practical steps of discrete K-L transform and applied the method to conduct the analysis of AVO attributes crossplot for real data, which achieved good results.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2006年第3期295-298,302,共5页
Oil Geophysical Prospecting
关键词
AVO交会图
离散K—L变换
AVO属性
截距
梯度
AVO异常
背景趋势
AVO crossplot, discrete K-L transform, AVO attributers, intercept and slope attributes, AVO anomaly, background trend