高技术通讯2016，Vol.26Issue(12)：978-988,11.DOI:10.3772/j.issn.1002-0470.2016.12.007
采用基于KPOD的模型降阶方法提高油藏模拟速度的研究
Research on a KPOD based model order reduction method for improving reservoir simulation speed
摘要
Abstract
This study focused on the model order reduction technique to improve the calculation speed of a traditional reservoir simulator.Considering that when the technique uses proper orthogonal decomposition (POD) method,it can accelerate the simulator but sensitive to system input parameters,thus leading to the reduction of the simulation precision and efficiency,a Krylov enhanced POD (KPOD) based on Krylov subspace and POD,was applied to the technique,with the aim of combining the moment matching property of Arnoldi with POD's data generalization ability to alleviate POD's dependence on input conditions.The case study of real reservoir simulation demonstrated that the KPOD outperforms POD in the calculation speed and accuracy,and proved the soundness of the method.关键词
油藏数值模拟/模型降阶/本征正交分解(POD)/KPOD方法Key words
reservoir simulation/model order reduction/proper orthogonal decomposition (POD)/Krylov enhanced POD (KPOD)引用本文复制引用
曹静,赵辉,喻高明..采用基于KPOD的模型降阶方法提高油藏模拟速度的研究[J].高技术通讯,2016,26(12):978-988,11.基金项目
国家自然科学基金(51344003)资助项目. （51344003）
