文献类型：会议论文

英文题名：Research on Perceptual Reasoning on Useful Rules for Intelligent Evaluation of Oilfield Production

作者：Yu, Di[1];Liu, Furui[2];Yang, Li[2]

第一作者：于镝

通讯作者：Yu, D[1]

机构：[1]Beijing Union Univ, Inst Informat Technol, Beijing 100101, Peoples R China;[2]Univ Northeast Petr, Daqing 163318, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Inst Informat Technol, Beijing 100101, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：36th Chinese Control Conference (CCC)

会议日期：JUL 26-28, 2017

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Perceptual reasoning; Similarity; Interval type-2 fuzzy sets; Intelligent evaluation

摘要：The massive data and complex reservoir environment make the process of well-pattern evaluation inefficient, however, the thought of computing with words provides new idea for intelligent evaluation of injection-production well pattern. Perceptual reasoning method based on firing intervals and one based on similarity are discussed to obtain the output of the engine of computing with words. Firing interval or firing level are computed and the outputs of firing rules are obtained using linguistic weight average method. Then, comparative analysis is carried for two different perceptual reasoning methods based on useful rule bases. Simulation results show that results obtained from perceptual reasoning based on similarity are more similar with footprint of uncertainty of words in codebook, and more in accordance with oilfield production reality.