基于聚类分析的油气成因类型判别

Determination of Genetic Types of Oil and,Gas Based on Clustering Analysis

油气成因类型的确定是油气成藏研究的重要基础,常规的定性描述与经验公式存在一定的局限,聚类分析从数学模型入手,通过相似统计量来衡量地质样品或分析指标间的相关性。通过介绍了树状聚类、逐步聚类和双向聚类的原理和方法,并分别应用于油气成因类型研究中,结果表明聚类分析适合多要求下的成因判别,克服了常规方法的局限,判别结果清楚、正确。

Determination of genetic types of oil and gas is the fundamental of petroleum reservoir study. Traditional qualitative description and empirical equations all have some limitations. Based on the mathematical models, the correlativity among geological samples and analytical indexes were determined through similar statistical parameters. In this paper, the principles and methods of tree clustering, k-means clustering and two-way clustering were introduced and applied in the study of genetic types of oil and gas. The results indicated that clustering analysis was suitable for different conditions and overcame the restrictions of traditional methods with distinct and reasonable results.