摘要
本文介绍一种应用模式识别技术实现井间小层自动对比的方法。首先从井资料提取每一小层的若干主要特征;然后应用模式识别的链匹配算法求得总代价为最小、用概率标记松驰算法求得概率为最大的最优井问地层对比关系,最后,实现井问小层自动对比。野外实际资料的试算结果表明,其效果良好。
The paper suggests to use pattern recognition technique for automatic thin layer correlation in cross-well seismology. In its implementation, Several main features related to each thin layer arc first extracted from well-log data. By means of either pattern recognition-based string-to-string matching procedure, which renders the total cost minimum, or the probability labeling relaxation algorithm which maximizes the probability, the optimum correlation between homologous layers in cross-well seismology is then obtained. Each thin layer down the two wells in a cross-well surrey is correlated as a final procedure. The processing on real data shows that the results are satisfactory.
出处
《石油物探》
EI
CSCD
北大核心
1992年第4期45-51,共7页
Geophysical Prospecting For Petroleum
关键词
模式识别
井间
地层对比
计算
Pattern recognition
Thin layer correlation between two wells
String-to-string matching algorithm
Probability labeling kelaxation algorithm
