用Bayes判别法定量识别沉积微相  

Quantitative Discrimination of Sedimentary Microfacies with Bayes Discriminant Analysis

作　　者：雍世和[1] 文政[1] 

机构地区：[1]华东石油大学

出　　处：《测井技术》1995年第1期22-27,共6页Well Logging Technology

摘　　要：雍世和等．用Ｂａｙｅｓ判别法定量识别沉积微相．测井技术，１９９５，１９（１）：２２～２７利用多种测井曲线提取反映沉积微相的若干参数。应用主成分分析法与ｎａｙｅｓ判别分析方法建立埕岛油田馆上段地层的测井－沉积微相数值模型，开发出连续识别钻井剖面地层沉积微相的软件。实际测井资料处理结果表明，用此法识别沉积微相与地质划分的结果吻合较好。The characteristic parameters of sedimentary micro factes are extracted fromwell logs. The numerical well logging-microfacies model of Cheng Dao Oil Field isestablished by means of principal component analysis and Bayes discriminationmethod Based on the method above, a software which can automatically and continuously discriminate microfacies has been developed. Logging data from severalwells located in Cheng Dao Oil Field have been processed by this software. The results obtained coincide better with the microfacies which are identified bygeologists.

关 键 词：陆相沉积 数值模型 软件 沉积相 油气勘探 

分 类 号：TE19[石油与天然气工程—油气勘探] P618.130.8[天文地球—矿床学]