A data-driven model for history matching and prediction

作者:Zhao Hui; Kang Zhijiang; Zhang Xiansong; Sun Haitao; Cao Lin; Reynolds Albert C
来源:Jpt, Journal of Petroleum Technology, 2016, 68(4): 81-82.
DOI:10.2118/0416-0081-JPT

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.

  • 出版日期2016

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