摘要
以取心井和观察井的动态测井资料及岩心分析数据为依据 ,利用 BP神经网络技术建立高含水期水淹层解释模型。通过对辽河油田锦 16块油藏部分开发井的精细评价 ,计算出相应的储层参数、剩余油饱和度等 ,达到水淹层评价的目的。
The interpretation model for waterflooded formation at high water cut stage is set up by means of neural network analysis technology. Core analysis data and time lapse logging data from sealed coring wells and observation wells are used. Based on the fine interpretation results from development wells in Block Jin 16, Liaohe Oilfield, the corresponding reservoir parameters, remaining oil saturation, etc. are calculated so as to evaluate the waterflooded formation.
出处
《测井技术》
CAS
CSCD
北大核心
2000年第5期333-336,共4页
Well Logging Technology
关键词
高含水期
水淹层
剩余油饱和度
储集层
测井解释
neural network high water cut stage water flooded formation remaining oil saturation reservoir parameter log interpretatioH
