A data-driven model for history matching and prediction

被引：0

作者：

Zhao, Hui ^{[1
]}

Kang, Zhijiang ^{[2
]}

Zhang, Xiansong ^{[3
]}

Sun, Haitao ^{[4
]}

Cao, Lin ^{[4
]}

Reynolds, Albert C. ^{[5
]}

机构：

[1] SPE, Yangtze University, China

[2] China Petroleum and Chemical Corporation, China

[3] China National Offshore Oil Corporation, China

[4] Yangtze University, China

[5] University of Tulsa, United States

来源：

JPT, Journal of Petroleum Technology | 2016年 / 68卷 / 04期

关键词：

D O I：

10.2118/0416-0081-JPT

中图分类号：

学科分类号：

摘要：

In this paper, the authors derive and implement an interwell numerical simulation model (INSIM) that can be used as a calculation tool to approximate the performance of a reservoir under waterflooding. In INSIM, the reservoir is characterized as a coarse model consisting of a number of interwell control units, and each unit has two specific parameters: transmissibility and control pore volume. INSIM is applied to perform history matching for parameter estimation and to infer interwell connectivity and geological characteristics.

引用

页码：81 / 82