摘要
采用多元时间序列分析的方法 ,对油水井动态特性进行了分析 ,建立了油井含水率的多因素预测模型。利用该模型可在已知水井注水量的情况下对相应油井的含水率进行预测。通过对传递函数模型的识别 ,分析了油水井的地下连通关系及注水对油井含水率的影响。油田应用实例验证了该方法在油田开发动态预测方面的可行性。
Multivariate time series method is used to analyze the performance of oil production and injection wells. A multi factor model for predicting the water cut in oil well is presented. According to this model, the water cut in oil well can be predicted when the injection of water well is known. The connecting condition between oil well and injection well, and the influence of water injection on water cut of oil well are studied with the identification of transfer function. The result is instructive to the injection and production adjustment based on the dynamic data of oilfields. Feasibility of the method is proved by an oil field example.
出处
《石油大学学报（自然科学版）》
CSCD
北大核心
2001年第2期70-72,共3页
Journal of the University of Petroleum,China(Edition of Natural Science)
基金
中国石油天然气集团公司"九五"攻关项目 (960 5 0 3 )
关键词
油井
水井
开发动态
预测模型
时间序列分析法
oil well
injection well
development performance
prediction model
time series analysis
