计算机技术与发展Issue(5)：37-40,4.DOI:10.3969/j.issn.1673-629X.2015.05.010
基于特征识别与PSO结合的地层对比算法
A Stratigraphic Correlation Algorithm Based on Characteristics Identification and PSO
摘要
Abstract
For small layer contrast problem of oilfield development block between two adjacent wells,propose an algorithm with small lay-ers logging curve directly as identification characteristics and combined with particle swarm optimization algorithm in stratigraphic correla-tion. By defining the generalized Hausdorff distance measured curve feature similarity,build small layers compared objective function with multistage penalty function constraint,directly taken the original logging curves of adjacent two contrastive wells as the characteristic vari-ables of detail correlation of reservoir bed. Use the experience memory,information sharing and track traverse searching from PSO for sol-ving global optimization objective function,achieving the optimal matching of small layer between two wells. Algorithm can highlight the well logging curve process characteristics and combination of integral multiple curve form,improve the recognition and matching of corre-sponding relationship between small layers of contrast wells,which has better adaptability for stratigraphic correlation problem in the as-pect of mechanism. Conducting the actual processing for oilfield development block adjacent wells,the results show the effectiveness of the model and algorithm.关键词
地层对比/过程特征/PSO算法/模式匹配/层序约束Key words
stratigraphic correlation/process characteristics/Particle Swarm Optimization ( PSO)/pattern matching/sequence constraint分类
信息技术与安全科学引用本文复制引用
许少华,张宇航,宋美玲,许辰..基于特征识别与PSO结合的地层对比算法[J].计算机技术与发展,2015,(5):37-40,4.基金项目
国家自然科学基金资助项目(61170132) （61170132）
