高性能测井曲线自动处理集群的研究与实现  

Research and implementation of high powered logging curve automatic processing clusters

作　　者：黎贵友[1] 张林[1] 

机构地区：[1]重庆邮电大学计算机科学与技术学院,重庆400065

出　　处：《重庆邮电学院学报（自然科学版）》2006年第5期669-672,共4页Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)

摘　　要：针对目前基于单服务器的测井曲线自动处理系统的缺陷,研究了高性能测井曲线自动处理集群架构与实现。该集群通过高速以太网连接,节点采用对等结构构件系统,通过分布式哈希表进行数据发布、负载均衡及系统自动扩容。该系统采用分布式处理技术提高了计算能力,采用反馈神经网络进行计算参数选优,又提高了数据处理的准确性。现场实践表明,该系统能够提高系统整体容量与处理能力。In order to overcome the disadvantages of the logging curve automatic processing systems based on a single server, the research and implementation of the high powered logging curve automatic processing clusters are presented. The systems can employ HSE （High Speed Ethernet） to connect hosts, which construct a Peer-to-Peer system; and DHT （Distributed Hash Table） is utilized to balance load and to issue data. The distributed technologies that the system adopted extent the computing and storage capacity; feedback neural networks optimize parameter selections to improve the veracity. Applications show that this system can increase the system processing capacity.

关 键 词：测井曲线 自动处理 分布式 集群 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]