油气田开发

特高含水期新型水驱特征曲线

  • 王继强 ,
  • 石成方 ,
  • 纪淑红 ,
  • 李冠林 ,
  • 陈映桥
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  • 1. 中国石油勘探开发研究院,北京 100083;
    2. 中国石油大学(北京)石油工程教育部重点实验室,北京 102249
王继强(1981-),男,山东临清人,博士,中国石油勘探开发研究院高级工程师,主要从事高含水油田提高水驱采收率方面的研究。地址:北京市海淀区学院路20号,中国石油勘探开发研究院,邮政编码:100083。E-mail: wangjiqiang08@petrochina.com.cn

收稿日期: 2017-03-20

  修回日期: 2017-09-23

  网络出版日期: 2017-11-24

基金资助

国家科技重大专项(2016ZX05010-003); 中国石油天然气股份有限公司“高/特高含水油田改善水驱效果关键技术”项目(2016B-1202)

New water drive characteristic curves at ultra-high water cut stage

  • WANG Jiqiang ,
  • SHI Chengfang ,
  • JI Shuhong ,
  • LI Guanlin ,
  • CHEN Yingqiao
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  • 1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China;
    2. Key Laboratory for Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China

Received date: 2017-03-20

  Revised date: 2017-09-23

  Online published: 2017-11-24

摘要

基于油田实测相对渗透率数据的统计分析,提出了高含水饱和度下油水相对渗透率比值与归一化含水饱和度间的新型函数表达式,实现了对常规相对渗透率比值关系曲线后段较为精确的拟合。利用新型油水相对渗透率比值表征关系式,结合油藏工程方法推导出两种适用于油田开发特高含水阶段(含水率大于90%)的新型水驱特征曲线。分别采用五点井网数值模拟结果和羊二庄油田、柳赞油田某区块实际生产数据,对新型水驱特征曲线的实用性进行了验证,结果表明,在甲型或乙型水驱特征曲线发生上翘以后,新型水驱特征曲线较常规水驱特征曲线的预测误差小,可用于预测特高含水阶段的油田生产动态、确定最终采收率以及可采储量。图7表4参18

本文引用格式

王继强 , 石成方 , 纪淑红 , 李冠林 , 陈映桥 . 特高含水期新型水驱特征曲线[J]. 石油勘探与开发, 2017 , 44(6) : 955 -960 . DOI: 10.11698/PED.2017.06.13

Abstract

A function expression of the oil-water relative permeability ratio with normalized water saturation at high water saturation was proposed based on statistics of measured oil-water relative permeability data in oilfields. This expression fits the later section of conventional relative permeability ratio curve more accurately. Two new water drive characteristic curves at the ultra-high water cut stage (fw>90%) were derived by combining the new oil-water relative permeability ratio expression and reservoir engineering method. Then, the numerical simulation results of five point well pattern and production data of Yangerzhuang Oilfield and Liuzan Oilfield were used to verify the adaptability of the new water drive characteristic curves. The results showed that the new water drive characteristic curves are more accurate than conventional water drive characteristic curves after A type and B type water drive curves rise, and can be used to predict production performance at ultra-high water cut stage, ultimate recovery efficiency and recoverable reserves.

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