摘要
作者在文献[1]中给出了一个用于地震勘探剖面图象岩性分析的模式识别专家系统,它包含低级处理及高级处理系统.本文给出一个岩性变化的多剖面自动分析方法.它是低级处理系统的内容,为高级处理系统提供剖面图岩性变化区域的分类描述,亦可单独运行,输出垂直剖面上的岩性分布,直接提取含油气区域.应用模式识别技术判断含油气区域,目前的方法都是在单一种剖面图上实现的,其效果离实用尚有很大距离.本文的方法综合利用多种剖面图象信息,在理论和实用上有更高价值.在CYBER系统上应用该方法处理实际测线数据的结果,输出了岩性分布图,其中的含油气区域与人工解释及当前出油井位的情况非常吻合.
In [1] the author gave a pattern recognition expert system used to analyse the rocky properties of the section image of earthquake surveying. This system includes both the low-level and high-level processing parts. This paper presents a multi-section automatic analysis method for the variation of rocky properties. This method belongs to the low-level processing part, and provides the classification representations of the variation regions of section image rocky properties for the high-level processing part. The method mentioned above can also be used alone, and give the rocky distribution on the vertical section to extract the regions containing oil-gas. At present, the method using the technique of pattern recognition to determine the regions containing oil-gas is realized on single section image, and the performance is not too good, and far from available. The method presented in this paper utilizes multi-section information, hence it has higher value in both theory and practice. This method has been used to process the practical data on CYBER system, and as a result, the picture of the rocky property distribution is presented, and the regions containing oil-gas in the picture are in conformity to the artificial explanation and the location of the oil hole.
出处
《自动化学报》
EI
CSCD
北大核心
1989年第6期493-500,共8页
Acta Automatica Sinica
基金
国家自然科学基金
关键词
剖面图
模式识别
含油气区域
聚类
Seismic
pattern recognition
feature extraction
possible oil and gas deposit
clustering.
