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K—L变换在AVO交会图分析中的应用
引用本文:朱秋影 刘洪林 吴清岭 李艳玲 张学娟. K—L变换在AVO交会图分析中的应用[J]. 石油地球物理勘探, 2006, 41(3): 295-298,302
作者姓名:朱秋影 刘洪林 吴清岭 李艳玲 张学娟
作者单位:河北省廊坊市中国石油勘探开发研究院廊坊分院,大庆石油学院地球科学学院,大庆油田有限责任公司勘探开发研究院,大庆油田有限责任公司勘探开发研究院,大庆石油学院地球科学学院 065007
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。

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
收稿时间:2005-09-13
修稿时间:2005-09-132006-01-23

Application of K-L transform in analysis of AVO crossplot.
Zhu Qiu-ying,Langfang Division of China Petroleum Exploration and Development Institute,Lang-fang City,Hebei Province,,China Lin Hong-Lin,Wu Qing-ling,Li Yan-ling and Zhang Xue-juan.. Application of K-L transform in analysis of AVO crossplot.[J]. Oil Geophysical Prospecting, 2006, 41(3): 295-298,302
Authors:Zhu Qiu-ying  Langfang Division of China Petroleum Exploration  Development Institute  Lang-fang City  Hebei Province    China Lin Hong-Lin  Wu Qing-ling  Li Yan-ling  Zhang Xue-juan.
Affiliation:Zhu Qiu-ying,Langfang Division of China Petroleum Exploration and Development Institute,Lang-fang City,Hebei Province,065007,China Lin Hong-Lin,Wu Qing-ling,Li Yan-ling and Zhang Xue-juan.
Abstract: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.
Keywords:AVO crossplot   discrete K-L transform   AVO attributers   intercept and slope attributes   AVO anomaly   background trend
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