测井技术2017，Vol.41Issue(2)：237-242,6.DOI:10.16489/j.issn.1004-1338.2017.02.020
基于WT与LSSVM的储层流动单元划分方法
Method of Flow Unit Identification for Reservoir Formation Based on WT and LSSVM
摘要
Abstract
It is very difficult to describe the complex reservoir feature by using log data to calculate the reservoir parameters.In order to improve the accuracy of reservoir identification,the method of flow unit division has been proposed based on Wavelet Transform (WT) and Least Squares Support Vector Machine (LSSVM).On the basis of flow zone indictor (IFZI) method,combined with coring data with log interpretation data of twenty-one key coring wells,the reservoir is divided into three types of flow units.The identification rules and division standards of flow units are established by IFZ.Based on this,the combination of WT and LSSVM is used to learn and train the reservoir flow units of coring wells.WT is applied to decompose the logging signal into multiple levels of resolution.The training set is attained by analyzing the sensitivity of samples of multiple levels via C5.0 decision tree algorithm.A model for predicting the flow unit type is developed by LSSVM.The proposed model is used to learn and predict the flow unit types in the coring wells or non-coring wells.Experiment results show that the hybrid model has high recognition accuracy.Thus,the hybrid model based on WT and LSSVM provides an effective way for fine reservoir interpretation.关键词
流动单元/测井曲线/流动带指数/小波变换/最小二乘支持向量机/决策树/参数敏感性Key words
flow unit/well logging curve/flow zone indicator/wave transform/least square support vector machine/decision tree/parameter sensitivity分类
天文与地球科学引用本文复制引用
杨爱东,单立群,刘彦昌,秦培莉..基于WT与LSSVM的储层流动单元划分方法[J].测井技术,2017,41(2):237-242,6.基金项目
国家科技重大专项远探测方位反射声波测井方法和仪器研发(2011ZX05020-009) （2011ZX05020-009）
