石油学报 ›› 2013, Vol. 34 ›› Issue (3): 513-517.DOI: 10.7623/syxb201303013

• 油田开发 • 上一篇    下一篇

聚合物驱阶段提高采收率预测模型的建立与应用

王渝明1, 王加滢1, 康红庆1, 孙强1, 柴方源2, 赵起越1   

  1. 1. 大庆油田有限责任公司 黑龙江大庆 163453;
    2. 中国地质大学地球科学与资源学院 北京 100083
  • 收稿日期:2012-11-20 修回日期:2013-02-16 出版日期:2013-05-25 发布日期:2013-04-09
  • 通讯作者: 王渝明
  • 作者简介:王渝明,男,1961年3月生,1982年毕业于大庆石油学院,2004年获浙江大学构造地质学博士学位,现为大庆油田有限责任公司副总地质师、聚合物驱项目经理、教授级高级工程师,主要从事油气田开发科研与管理工作。Email:yumingwang@petrochina.com.cn
  • 基金资助:

    国家重大科技专项(2011ZX05052)资助。

Establishment and application of a prediction model for enhanced oil recovery in polymer flooding

WANG Yuming1, WANG Jiaying1, KANG Hongqing1, SUN Qiang1, CHAI Fangyuan2, ZHAO Qiyue1   

  1. 1. Daqing Oilfield Company Ltd., Daqing 163453, China;
    2. School of Earth Sciences & Resources, China University of Geosciences, Beijing 100083, China
  • Received:2012-11-20 Revised:2013-02-16 Online:2013-05-25 Published:2013-04-09

摘要:

为了预测聚合物驱开发指标,根据实际生产数据,综合应用驱替特征曲线和经验回归方法,建立了聚合物用量与提高采收率变化规律的预测模型。并对A油田39个一类油层和二类油层聚合物驱区块进行拟合和预测,计算结果表明:在半对数坐标系下,聚合物用量与提高采收率成线性关系;在聚合物驱的含水稳定阶段与含水回升阶段,该方法预测精确度较高,提高采收率绝对误差为0.01 % ~0.58 % ,相对误差为0.09 % ~6.24 % 。该预测模型能够应用于聚合物驱的长远规划与年度规划,也可用于聚合物驱开发调整措施效果评价和确定单井组转后续水驱时机。

关键词: 聚合物驱, 提高采收率, 预测模型, 开发指标, 经验回归方法

Abstract:

In order to predict the development index of polymer flooding, a new model to predict the polymer volume and variation laws of enhanced oil recovery was established by applying actual production data, displacement curves and experience regression methods. With the application of this model to 39 polymer flooding blocks of the primary and second oil layers of an oilfield, the calculation results indicated that the polymer volume shows a linear relation with enhanced oil recovery in the semi-logarithm coordinates and the scope of enhanced oil recovery by polymer flooding is bounded. At the stable and regressive water-bearing stages of polymer flooding, this model is of the relatively high prediction accuracy, with the absolute and relative average error of enhanced oil recovery ranging between 0.01 % ~0.58 % and 0.09 % ~6.24 % , respectively. Therefore, this model can be applied not only to the annual and long-term planning of polymer flooding but also to the evaluation of development adjustment and the determination of time for well groups to shift from polymer flooding to subsequent water flooding.

Key words: polymer flooding, enhanced oil recovery (EOR), prediction model, development index, experience regression method

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