摘要
随着油田开发的深入,注入井和产出井的流体分布和流体组成越来越复杂,监测对象与监测技术合理匹配是特高含水后期注产剖面测井面临的重要问题。分析了影响注产剖面测井的特征参数和常规技术选择的局限性,通过分析大量历史注产剖面测井资料,结合现场试验和测井技术的性能指标,构建了基于注入井和产出井特征的监测技术优选样本,采用决策树技术,形成注产剖面测井技术优选模型。在聚驱区块调整了监测技术应用比例,获得的监测资料更能反映单井吸水剖面特征,调整和措施见到好的效果。
With the development of oil field, the fluid distribution and fluid composition of injection and production wells have become more and more complex. To reasonably match the monitoring object with the monitoring technology is an important issue faced by the injection and production profile logging in the late high water cut stage. This paper analyzes in detail the characteristic parameters that affect the production and injection profile logging and the limitations of conventional technology. Moreover, through a large number of historical injection and production profile logging data, as well as field tests and the performance indicators of logging technology, a monitoring technique which is used for preferring samples based on injection and production well features was constructed. Then, by using decision tree technology, an optimization model for logging technology of injection and production well was established. The monitoring technology was applied in the B polymer flooding block, and it is found that the result can better reflect the characteristics of the single well water absorption profile.
作者
朱波
裴建亚
杨云杰
李婧
ZHU Bo;PEI Jianya;YANG Yunjie;LI Jing(Daqing Oilfield Co.Ltd.,Testing Technology Service Branch,Daqing,Heilongjiang 163412,China)
出处
《测井技术》
CAS
CSCD
2018年第4期439-443,共5页
Well Logging Technology
关键词
生产测井
监测对象
监测技术
注产剖面
优选模型
production log
monitoring object
monitoring technology
injection and production profile
optimization model
