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对含油气盆地作远景评价基本上有两种类型的方法:一种是计算盆地可能的潜藏油气储量;一种是与已知的含油气盆地作类比。两者都需要一定数量的盆地的石油地质参数。本文讨论的是后一种方法。后一种方法在数学上属于多元统计分析。多元统计分析方法主要有回归分析、判别分析、聚类分析、主成分分析、因子分析。我们采用的是聚类分析法。顾名思义,聚类分析是一种逐步归类的方法,把所研究的对象(含油气盆地)按照可类比的变量(地质参数)进行比较,按性质相近似者逐级归类。
There are basically two types of approaches for the long-term evaluation of petroliferous basins: one is to calculate the potential reserves of potential reservoirs in the basin and one is to analogy with known petroliferous basins. Both require a certain amount of petroleum geological parameters of the basin. This article discusses the latter method. The latter method mathematically belongs to multivariate statistical analysis. Multivariate statistical analysis methods include regression analysis, discriminant analysis, cluster analysis, principal component analysis, factor analysis. We use clustering analysis. As the name implies, cluster analysis is a gradual classification method that compares the studied objects (including oil and gas basins) according to comparable variables (geological parameters) and classifies them by their similarities.