论文部分内容阅读
本文利用多种测井曲线及其计算的地质参数曲线提取反映沉积微相的特征参数。应用主成分分析与模糊Ｋ均值聚类方法建立了埕岛油田馆上段地层的测井－沉积微相数值模型，并开发了相应的计算机软件。对埕岛油田几口井测井资料的实际处理结果表明，应用本文提出的方法识别的沉积微相与地质划分的结果吻合较好。文中，给出了实际资料的处理结果。
In this paper, a variety of logging curves and their calculated geologic parameter curve are used to extract the characteristic parameters that reflect the sedimentary microfacies. The principal component analysis and fuzzy K-means clustering method were used to establish the logging-sedimentary micro-facies numerical model of the Upper Paleozoic strata in Chengdao Oilfield, and the corresponding computer software was developed. The actual processing results of logging data of several wells in Chengdao Oilfield show that the sedimentary microfacies identified by the method proposed in this paper is in good agreement with the result of geological division. The article gives the actual data processing results.