新疆石油地质 ›› 2010, Vol. 31 ›› Issue (2): 174-177.

• 油藏工程 • 上一篇    下一篇

油藏天然能量指标在注水动态分析中的应用

聂仁仕1, 贾永禄1, 沈楠2, 秦旭升2, 张武2, 刘舜2   

  1. 1.西南石油大学 石油工程学院,成都 610500;
    2.中国石油 新疆油田分公司 彩南油田作业区,新疆 阜康 831511
  • 收稿日期:2009-10-30 发布日期:2020-09-17
  • 作者简介:聂仁仕(1982-),男,四川广安人,在读博士研究生,油气田开发,(E-mail)nierenshi2000@163.com.
  • 基金资助:
    中石油重点工程攻关项目(971007110165)

Application of Reservoir Natural Drive Index to Waterflood Performance Analysis

NIE Ren-shi1, JIA Yong-lu1, SHEN Nan2, QIN Xu-sheng2, ZHANG Wu2, LIU Shun2   

  1. 1. School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
    2. Cainan Production Company, Xinjiang Oilfield Company, PetroChina, Jukang, Xinjiang 831511, China
  • Received:2009-10-30 Published:2020-09-17

摘要: 传统的油藏天然能量指标分析方法仅用来分析注水前的油藏天然能量大小。经理论研究发现:Δp軈(平均地层压力降)与Npr (无因次弹性产量比值)呈幂指数关系,双对数曲线呈线性规律;双对数图上等时间间隔点越密集,边底水补充地层能量越及时,水侵速度越快;驱动能力指标同样适用于注水后的分析与评价,且变化规律不变,注水后等时间间隔点越密集,注水效果越好;运用Δp軈与Npr关系式可以准确地预测原油采出程度,同时结合油藏水驱特征曲线还可以确定合理累积注采比和阶段注采比。最后,用于实例分析取得了良好的预测效果。

关键词: 天然能量指标, 注水, 采出程度, 注采比, 预测

Abstract: The traditional analysis method of the reservoir natural drive index can only be used in the judgment of reservoir natural energy scale prior to waterflooding. The theoretical study shows that the correlation curve of Δp and Npr assumes some kind of power relations, the bi-logarithmic curve assumes linear pattern; on the bi-logarithmic plot, the more dense the iso-time interval spots are, the more timely the energy feeding of bottom and edge water to the formation is, and the quicker the water influx rate is. The natural drive index can also be suitable for the analysis and evaluation of reservoir after waterflooding, and the variation of the curves is unchangeable, namely, the more tight the iso-time interval points are, the better the water flooding effectiveness. Also, the correlation of Δp and Npr is properly applied to prediction of oil recovery factor and hence to determination of rational accumulative and stage injection to production ratios integrated with waterflood characteristic curves of the reservoir. Finally, the case study shows good prediction of them.

Key words: natural drive index, natural energy, water injection, waterflooding, oil recovery, injection to production ratio, prediction, forecast

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