期刊
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
卷 36, 期 19, 页码 2154-2165出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/15567036.2010.511437
关键词
covariance localization; drainage area; Ensemble Kalman filter; reservoir characterization
资金
- Ministry of Trade, Industry Energy [10038618, 10042556, 2011201030001C, 2010201010092C]
The Ensemble Kalman filter has been widely researched because of its availability of real-time updating of reservoir models and uncertainty quantification. There have been many studies to solve the two typical problems: overshooting and filter divergence, and to increase its accuracy. One of the methods is covariance localization, which excludes data having relatively low correlation between reservoir parameters and observations. This article proposes covariance matrix localization using a drainage area, which can be easily obtained by checking the direction of oil flow. In applications to synthetic reservoirs, the proposed method gives a better prediction of the permeability distribution by history matching and, therefore, future performances. It also provides reliable results in cases of small ensemble sizes.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据