西南石油大学学报（自然科学版）2025，Vol.47Issue(4)：62-74,13.DOI:10.11885/j.issn.1674-5086.2022.05.04.01
基于改进SMOTE和随机森林算法的致密砂岩成岩相测井解释方法
A Logging Interpretation Method for Tight Sandstone Diagenetic Facies Based on Improved SMOTE and Random Forest Algorithm
摘要
Abstract
Diagenetic logging interpretation is the key to predict high-quality tight sandstone reservoirs.Compared with con-ventional mathematical statistical methods,machine learning methods can effectively improve the accuracy of diagenetic facies logging interpretation.However,due to the insufficient number of samples,there are still some multi-solutions in the inter-pretation results.In order to effectively solve the problem of sample data imbalance in the logging interpretation of diagenetic facies,this paper considers the spatial constraints of new samples on the basis of the classical SMOTE(Synthetic Minority Over-sampling Technique)algorithm.This paper puts forward a RESMOTE(Repeat SMOTE)algorithm,which adds the few class samples in the imbalanced data,and uses the random forest model to identify and explain the diagenetic facies.The experi-mental results show that the RESMOTE algorithm is better than classical SMOTE algorithm,Borderline-SMOTE algorithm and ADASYN algorithm,and the accuracy of random forest model is improved from 77.27％to 91.06％.The RESMOTE algorithm can ensure the accuracy of new data,effectively solve the problem of over-fitting and low accuracy in conventional logging litho facies identification and classification methods,and has important application value for the prediction of high quality tight sandstone reservoirs.关键词
致密砂岩/成岩相/RESMOTE算法/随机森林/测井解释Key words
tight sandstone/diagenetic facies/RESMOTE algorithm/random forest/log interpretation分类
能源科技引用本文复制引用
甄艳,康锦涛,赵晓明,葛家旺,代茂林..基于改进SMOTE和随机森林算法的致密砂岩成岩相测井解释方法[J].西南石油大学学报（自然科学版）,2025,47(4):62-74,13.基金项目
国家自然科学基金(42072183,41902124) （42072183,41902124）
