超低界面张力强化泡沫体系稠油驱研究

针对孤东六区稠油油藏条件,研究得到既能在不含碱的条件下与原油形成超低界面张力,又能形成稳定泡沫的超低界面张力强化泡沫体系。其配方为:3.0 g/L石油磺酸盐+5.0 g/L HEDP-Na4+0.6 g/LⅠ型两亲聚合物,气体为氮气。该体系具有较好的泡沫性能和乳化降黏性能,并且两亲聚合物能够改善泡沫的稳定性和体系对原油的乳化效果。超低界面张力强化泡沫体系对孤东六区稠油具有较好的驱替性能,原油采收率能够在水驱的基础上提高37.9%,总采收率达到65.7%,所注入体系能在较长时间里发挥调剖和驱油效果。     

公路施工组织网络资源优化的启发式算法

对于工期限定、资源均衡和资源有限、工期最短的2种资源约束情况，分别提出了逐步调优法和资源分配法2种启发式算法。在工期限定、资源均衡中，通过利用平衡性指标变动公式计算非关键工序的ΔHR值作为工序能否进行移动的判定界限，且应用平衡性指标HR作为网络计划实现优化的定量指标。在资源有限、工期最短中，通过计算每道工序的优先系数Pij，按其值由大到小作为各工序调整的优先准则，从而合理安排各工序的开始时间，以保证实现网络的资源优化。     

A Distributed Data Mining System Based on Multi-agent Technology

Distributed Data Mining is expected to discover preciously unknown, implicit and valuable information from massive data set inherently distributed over a network. In recent years several approaches to distributed data mining have been developed, but only a few of them make use of intelligent agents. This paper provides the reason for applying Multi-Agent Technology in Distributed Data Mining and presents a Distributed Data Mining System based on Multi-Agent Technology that deals with heterogeneity in such environment. Based on the advantages of both the CS model and agent-based model, the system is being able to address the specific concern of increasing scalability and enhancing performance.