摘要
本文把油气藏分类问题归结为模式识别问题,然后应用模糊模式识别技术,以油藏烃类体系的化学组成为数据特征,采用模糊统计试验法确定类型模式的隶属函数,建立了油藏类型识别的模糊数学模型,从而较精确地定量描述了诸如油藏、气藏、凝析气藏等概念之间界限不分明的现象。并用实例作了检验。
In this paper, the problem of classifying oil/gas reservoirs is proposed as that of pattern recognition. Then, a fuzzy mathematical model for recognizing oil/gas reservoir types is designed based on fuzzy pattern recognition technique. And a fuzzy statistical test method is applied to set up subordinate functions of reservoir type patterns. Practice shows that it is a good mathematical model.
出处
《西南石油学院学报》
CSCD
1990年第3期91-100,共10页
Journal of Southwest Petroleum Institute
关键词
油藏类型
模式识别
模糊数学
Reservoir type
pattern recognition
Subordinate function
recognition criteria
Subordinate degree
