倾斜箭头图模式识别系统的设计与实现

[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI:10.1109/ICPR.1988.28333

Shengxi Pan, Jianguo Liu, Jiaxiong Peng, Guangui Wang

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引用次数: 3

摘要

倾角测井是一种测井方法。利用模式识别的关系比较法，从倾角测井获得的原始数据中得到倾角箭头图。数据往往是非常分散和随机的。介绍了专家倾斜箭头图模式识别系统的设计原理和方法。它结合了数学模型方法和人工智能技术。提出了一种角度处理算法和一种有序样本分组算法。该系统已在IBM-PC/XT和兼容机器上实现。通过对中原油田21个数据模式的处理，其分类率达98%。

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The design and implementation of dip arrow plot pattern recognition system

Dip logging is a method of well logging. From the raw data obtained by dip logging, a dip arrow plot can be obtained using the relation comparison method of pattern recognition. The data tend to be very much scattered and random. The design principle and method of an expert dip arrow plot pattern recognition system are described. It incorporates a mathematical model method and an artificial intelligence technique. An angle processing algorithm and an ordered sample grouping algorithm are proposed. This system has been implemented on an IBM-PC/XT and on compatible machines. Its classification rate is 98%, obtained by processing 21 data patterns from the Zhongyuan oil field in China.<>

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[1988 Proceedings] 9th International Conference on Pattern Recognition

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