在关键井沉积微相分析的基础上,从测井资料中提取反映各种沉积微相的测井特征参数,并应用一套多元统计分析方法建立各种沉积微相的判别模型,实现了根据测井资料用计算机对井剖面地层进行目前连续的沉积微相识别,并根据单井相分析结果进一步可研究多井剖面地层的各种沉积微相。应用所研制的软件对胜利油田十多口井的测井资料进行了处理,其结果与地质专家解释结果相当吻合。 Based on the analysis of sedimentary microfacies in key wells, the logging parameters reflecting various sedimentary microfacies are extracted from well logging data and a discriminant model of various sedimentary microfacies is established by using a set of multivariate statistical analysis methods. According to Well Logging Data The current continuous microfacies recognition of the well section is done by computer and various sedimentary microfacies of multi-well section strata can be further studied according to single-well phase analysis results. Application of the software developed by Shengli Oilfield more than a dozen well logging data processing, the results and geologists explain the results quite consistent.