基于PCA的模糊综合评判法在水淹层评价中的应用  

Application of PCA Based Fuzzy Synthetic Evaluation Method in Water-out Reservoir Evaluation

作　　者：王英伟[1] 张超谟[1] 马肃滨 柯年日[1] 吴都[1] 钦黎明[1] 王敏[1] 

机构地区：[1]油气资源与勘探技术教育部重点实验室(长江大学)长江大学地球物理与石油资源学院,湖北荆州434023 [2]中石油测井有限公司吐哈事业部,新疆鄯善838202

出　　处：《石油天然气学报》2011年第11期93-97,7,共5页Journal of Oil and Gas Technology

基　　金：国家科技重大专项(2011ZX05020-008)

摘　　要：经过多年的注水开发,L地区水淹层状况复杂多变,使用常规测井解释方法识别水淹层具有很大困难,而基于PCA(主成分分析)的贝叶斯判别法要求测井数据符合正态分布,但是L地区测井数据有限,因此判别的正确率不高。为此,根据测井资料,运用基于PCA的模糊综合判别法建立解释模型来进行水淹级别的预测,用建立的模型处理了22口井,与试油资料对比,符合率达86.36%,应用效果良好。For many years of waterflooding,the situation of water-out reservoirs was complicated in L Area,it was difficult for identifying water flooded reservoirs with conventional logging interpretation methods.And Bayes discriminant method based on principal component analysis required that logging data should accord with normal distribution,but the logging data of L Area were limited,thus the discriminant accuracy was not high.Therefore according to the logging data,fuzzy synthetic discrimination based on principal component analysis(PCA) is used to establish an interpretation model for predicting water-flooding levels,the model is used to process the logging data of 22 wells,and the result is contrasted with well test data,a better effect is achieved with coincidence rate of 86.36%.

关 键 词：常规测井 PCA 模糊综合评判 水淹级别 

分 类 号：P631.84[天文地球—地质矿产勘探]